diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/accuracy_binary.classification_dense/algorithm_runs.arff
index a9868a02da..58de00874d 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/algorithm_runs.arff
index 218d3336a4..beebecaa9e 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2120,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2122,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2123,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-233,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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-242,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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-262,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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-273,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/algorithm_runs.arff
index a9868a02da..58de00874d 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+letter,1.0,162,0.034545454545454546,ok
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,169,0.05042424242424237,ok
+tamilnadu-electricity,1.0,175,0.0,ok
+codrna,1.0,187,0.018812102266383857,ok
+delta_ailerons,1.0,354,0.05824829931972786,ok
+imdb.drama,1.0,192,0.36513545347467613,ok
+kropt,1.0,196,0.07852667962842952,ok
+chess,1.0,200,0.08090300280838192,ok
+socmob,1.0,424,0.05249343832021003,ok
+wilt,1.0,344,0.011278195488721776,ok
+musk,1.0,208,0.0,ok
+ova_uterus,1.0,212,0.04518664047151277,ok
+vehicle_sensit,1.0,217,0.1268069139447623,ok
+japanesevowels,1.0,219,0.0030422878004259246,ok
+ipums_la_99-small,1.0,222,0.06339958875942431,ok
+semeion,1.0,225,0.030476190476190435,ok
+isolet,1.0,290,0.032258064516129004,ok
+ova_kidney,1.0,320,0.005893909626719096,ok
+kr-vs-k,1.0,237,0.07960682652840789,ok
+gesturephasesegmentationprocessed,1.0,244,0.2965009208103131,ok
+fbis.wc,1.0,246,0.13423645320197042,ok
+skin-segmentation,1.0,365,0.00034624326062226984,ok
+mfeat-morphological,1.0,403,0.2212121212121212,ok
+yeast,1.0,326,0.3926380368098159,ok
+airlines,1.0,257,0.3295748219061102,ok
+puma32h,1.0,263,0.08250092489826122,ok
+mv,1.0,274,0.00022299858767560465,ok
+segment,1.0,322,0.018372703412073532,ok
+ozone-level-8hr,1.0,297,0.05023923444976075,ok
+pc2,1.0,286,0.00379609544468551,ok
+click_prediction_small,1.0,294,0.044535437790724774,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,301,0.040184453227931516,ok
+mc1,1.0,413,0.004803073967339144,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,311,0.015194805194805205,ok
+ova_lung,1.0,317,0.013752455795677854,ok
+cardiotocography,1.0,337,0.0,ok
+ldpa,1.0,342,0.005367351065198589,ok
+poker-hand,1.0,346,0.004088667620590569,ok
+la1s.wc,1.0,352,0.0832544938505203,ok
+abalone,1.0,362,0.32002902757619733,ok
+ova_colon,1.0,369,0.029469548133595258,ok
+satimage,1.0,392,0.0801508722300801,ok
+qsar-biodeg,1.0,374,0.11781609195402298,ok
+sylva_agnostic,1.0,379,0.005684210526315736,ok
+one-hundred-plants-shape,1.0,388,0.30113636363636365,ok
+kdd_ipums_la_97-small,1.0,399,0.021588946459412783,ok
+new3s.wc,1.0,405,0.09511731135066581,ok
+la2s.wc,1.0,408,0.07495069033530577,ok
+kddcup09_appetency,1.0,415,0.01806060606060611,ok
+one-hundred-plants-margin,1.0,422,0.16666666666666663,ok
+adult,1.0,428,0.13954209840541043,ok
+bioresponse,1.0,430,0.20533548908649957,ok
+amazon_employee_access,1.0,435,0.049569962082678276,ok
+higgs,1.0,438,0.2692236370379528,ok
+oh0.wc,1.0,447,0.0696969696969697,ok
+kddcup09_churn,1.0,450,0.07127272727272727,ok
+ova_endometrium,1.0,458,0.03143418467583492,ok
+covertype,1.0,462,0.029233360975940537,ok
diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/algorithm_runs.arff
index 218d3336a4..beebecaa9e 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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+skin-segmentation,1.0,2e-05,1e-05,0.00785,2e-05,1e-05,0.31031,0.27854,2e-05,0.01161,3e-05,0.02022,1e-05,4e-05,3e-05,9e-05,0.00024,6e-05,2e-05,9e-05,2e-05,0.00062,7e-05,3e-05,0.00017,0.00035,0.0008,1e-05,1e-05,0.00028,0.00043,8e-05,0.00043,8e-05,7e-05,9e-05,0.0002,0.00044,6e-05,8e-05,9e-05,0.00021,0.14028
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+nursery,1.0,1e-05,1e-05,0.00029,1e-05,1e-05,0.00461,0.00415,1e-05,0.00035,1e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.0004,6e-05,6e-05,8e-05,0.0002,0.00039,6e-05,6e-05,8e-05,0.00019,0.00265
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2122,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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-233,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2350,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/average_precision_binary.classification_dense/algorithm_runs.arff
index 918f05b453..1609efb5b4 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.4878671463781179,ok
-75119,1.0,2,0.002137350729978782,ok
-75139,1.0,321,0.0011032597395757016,ok
-75212,1.0,7,0.15256933986822485,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.010583210410810229,ok
-75092,1.0,14,0.30710749896123346,ok
-75239,1.0,15,0.0,ok
-75173,1.0,264,0.04498004745710049,ok
-75215,1.0,269,0.002476203635612073,ok
-75171,1.0,21,0.08332235273571365,ok
-75112,1.0,23,0.08193498734798665,ok
-75227,1.0,24,0.08588152611624555,ok
-75233,1.0,102,0.0064702521306301275,ok
-75182,1.0,138,0.09558610812790125,ok
-253,1.0,27,?,not_applicable
-75157,1.0,29,0.4866314915324267,ok
-75187,1.0,267,0.0012256656184541637,ok
-75124,1.0,31,0.4642760381864932,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,285,0.18411818014888381,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,37,0.051632868284900324,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,234,0.20737529848879477,ok
-75143,1.0,43,0.0003380689531951031,ok
-75196,1.0,46,0.0002747755999267243,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.6619346271836501,ok
-75249,1.0,204,0.002653934516532064,ok
-75113,1.0,59,0.006215426914405242,ok
-75126,1.0,63,0.002676573380457681,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.07476766843004146,ok
-75234,1.0,68,0.0025570500491878256,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.02779561860055213,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.0560527025009423,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,85,0.42859893550912664,ok
-75146,1.0,88,0.026973436894305536,ok
-244,1.0,89,?,not_applicable
-75141,1.0,163,0.01173804467069206,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.003957289838288358,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.010220794182362214,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,106,0.09374742289809834,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,238,0.21841087762761613,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.014259133477716013,ok
-75099,1.0,171,0.4137854912995014,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,253,0.04341182208035166,ok
-233,1.0,137,8.366996616537836e-05,ok
-75161,1.0,139,0.010310568908566298,ok
-75176,1.0,143,0.0006257932468407557,ok
-262,1.0,146,?,not_applicable
-75129,1.0,402,0.5738839791179444,ok
-261,1.0,221,0.3342676421661406,ok
-75114,1.0,152,0.0038194827767713546,ok
-75093,1.0,230,0.542497148196514,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,167,0.44862438395455684,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,186,0.001708447332475549,ok
-75163,1.0,189,0.02685795440651706,ok
-2350,1.0,191,0.5668173788275173,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.033809555590903706,ok
-75095,1.0,284,0.05533956012799779,ok
-75108,1.0,207,0.0,ok
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-75226,1.0,219,1.4184231685643311e-05,ok
-75244,1.0,372,0.6238946964248455,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,319,0.0005163333961275551,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,1.0920271134029491e-06,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.3143148012874739,ok
-75153,1.0,263,0.0211371390556796,ok
-75195,1.0,271,1.56543381590879e-08,ok
-266,1.0,277,?,not_applicable
-75225,1.0,280,0.5115141783633365,ok
-75100,1.0,288,0.8230078173288692,ok
-75132,1.0,294,0.850465089313205,ok
-75210,1.0,298,0.0,ok
-273,1.0,301,0.014844523360765693,ok
-75133,1.0,413,0.4929884165869626,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.002899511502766572,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.005869457471176065,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.11110189077492749,ok
-75103,1.0,379,0.02047713329298051,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.017915489066529955,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.8760240593052668,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.02913958847349507,ok
-75156,1.0,430,0.11592045149703145,ok
-75097,1.0,434,0.014519472944802159,ok
-75101,1.0,438,0.17587098260204748,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.7856870980692269,ok
-75120,1.0,456,0.002216917908264948,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.4878671463781179,ok
+ova_omentum,1.0,2,0.002137350729978782,ok
+pol,1.0,321,0.0011032597395757016,ok
+colleges_usnews,1.0,7,0.15256933986822485,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.010583210410810229,ok
+pc4,1.0,14,0.30710749896123346,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.04498004745710049,ok
+phishingwebsites,1.0,269,0.002476203635612073,ok
+puma8nh,1.0,21,0.08332235273571365,ok
+magictelescope,1.0,23,0.08193498734798665,ok
+phoneme,1.0,24,0.08588152611624555,ok
+cpu_act,1.0,102,0.0064702521306301275,ok
+house_8l,1.0,138,0.09558610812790125,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,0.4866314915324267,ok
+twonorm,1.0,267,0.0012256656184541637,ok
+bank-marketing,1.0,31,0.4642760381864932,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,285,0.18411818014888381,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,0.051632868284900324,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,234,0.20737529848879477,ok
+analcatdata_supreme,1.0,43,0.0003380689531951031,ok
+colleges_aaup,1.0,46,0.0002747755999267243,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.6619346271836501,ok
+hypothyroid,1.0,204,0.002653934516532064,ok
+sylva_prior,1.0,59,0.006215426914405242,ok
+ova_ovary,1.0,63,0.002676573380457681,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.07476766843004146,ok
+ringnorm,1.0,68,0.0025570500491878256,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.02779561860055213,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.0560527025009423,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,85,0.42859893550912664,ok
+ailerons,1.0,88,0.026973436894305536,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,163,0.01173804467069206,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.003957289838288358,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.010220794182362214,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,0.09374742289809834,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,238,0.21841087762761613,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.014259133477716013,ok
+kc1,1.0,171,0.4137854912995014,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,253,0.04341182208035166,ok
+kr-vs-kp,1.0,137,8.366996616537836e-05,ok
+fried,1.0,139,0.010310568908566298,ok
+houses,1.0,143,0.0006257932468407557,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,402,0.5738839791179444,ok
+credit-g,1.0,221,0.3342676421661406,ok
+ova_breast,1.0,152,0.0038194827767713546,ok
+jm1,1.0,230,0.542497148196514,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,167,0.44862438395455684,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,186,0.001708447332475549,ok
+delta_ailerons,1.0,189,0.02685795440651706,ok
+imdb.drama,1.0,191,0.5668173788275173,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.033809555590903706,ok
+wilt,1.0,284,0.05533956012799779,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,211,0.005428243341756178,ok
+vehicle_sensit,1.0,218,0.05749081881675733,ok
+japanesevowels,1.0,219,1.4184231685643311e-05,ok
+ipums_la_99-small,1.0,372,0.6238946964248455,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,319,0.0005163333961275551,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,1.0920271134029491e-06,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.3143148012874739,ok
+puma32h,1.0,263,0.0211371390556796,ok
+mv,1.0,271,1.56543381590879e-08,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,280,0.5115141783633365,ok
+pc2,1.0,288,0.8230078173288692,ok
+click_prediction_small,1.0,294,0.850465089313205,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,301,0.014844523360765693,ok
+mc1,1.0,413,0.4929884165869626,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.002899511502766572,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.005869457471176065,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.11110189077492749,ok
+sylva_agnostic,1.0,379,0.02047713329298051,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.017915489066529955,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.8760240593052668,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.02913958847349507,ok
+bioresponse,1.0,430,0.11592045149703145,ok
+amazon_employee_access,1.0,434,0.014519472944802159,ok
+higgs,1.0,438,0.17587098260204748,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.7856870980692269,ok
+ova_endometrium,1.0,456,0.002216917908264948,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
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diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2117,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2120,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2122,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/algorithm_runs.arff
index 6e80d914a1..261d995bd7 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.4878671463781179,ok
-75119,1.0,3,0.0023574252624086744,ok
-75212,1.0,58,0.1531038958200216,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.010583210410810229,ok
-75092,1.0,31,0.34536251585048616,ok
-75239,1.0,13,0.0,ok
-75215,1.0,220,0.0027691909122957714,ok
-75171,1.0,19,0.08580090152984066,ok
-75227,1.0,20,0.0864017835414308,ok
-75233,1.0,73,0.007850102029398953,ok
-75182,1.0,22,0.09992542504725932,ok
-253,1.0,23,?,not_applicable
-75157,1.0,172,0.4951030769313238,ok
-75124,1.0,317,0.47192427029766393,ok
-75222,1.0,27,0.18758049365145113,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,30,0.0523509570028029,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,59,0.21579019519283416,ok
-75143,1.0,273,0.0003608598387342399,ok
-75196,1.0,37,0.0002747755999267243,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.6619346271836501,ok
-75249,1.0,164,0.002653934516532064,ok
-75113,1.0,50,0.006215426914405242,ok
-75126,1.0,52,0.002676573380457681,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.07528745452759777,ok
-75234,1.0,56,0.004936877014319552,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.02779561860055213,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.07293643503720026,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.5605685730424698,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.01173804467069206,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.006191375107805208,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.010785170617967688,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.10410861094426194,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.22481062993849077,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.014340735646710567,ok
-75099,1.0,136,0.5162235680666997,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.05232648789248073,ok
-233,1.0,107,8.366996616537836e-05,ok
-75161,1.0,109,0.011200609583141508,ok
-75176,1.0,110,0.0006257932468407557,ok
-262,1.0,113,?,not_applicable
-75129,1.0,272,0.5805996295606374,ok
-261,1.0,141,0.3381950434129559,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,118,0.0038194827767713546,ok
-75093,1.0,187,0.5754045178901972,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,133,0.44862438395455684,ok
-75139,1.0,137,0.001190801337554337,ok
-75146,1.0,140,0.028488273885671878,ok
-75189,1.0,145,0.001112662584136892,ok
-75163,1.0,150,0.02685795440651706,ok
-2350,1.0,152,0.5668173788275173,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.06131091254116239,ok
-75095,1.0,230,0.05533956012799779,ok
-75108,1.0,167,0.0,ok
-75117,1.0,169,0.005428243341756178,ok
-75191,1.0,176,0.05749081881675733,ok
-75226,1.0,177,2.369743054941864e-05,ok
-75244,1.0,298,0.6266299217591191,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,256,0.0006359144097769498,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.3143148012874739,ok
-75153,1.0,215,0.0211371390556796,ok
-75173,1.0,217,0.04617966821935626,ok
-75187,1.0,218,0.0012256656184541637,ok
-75195,1.0,223,2.662413856047152e-07,ok
-75225,1.0,226,0.5154066456573045,ok
-75100,1.0,356,0.9598316865324259,ok
-75132,1.0,237,0.891944235816124,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.01506789853315349,ok
-75133,1.0,332,0.5995165540719386,ok
-75121,1.0,244,0.0,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.004229694217922297,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,1.0920271134029491e-06,ok
-75125,1.0,294,0.00926416480533232,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,300,0.11285722810988297,ok
-75103,1.0,372,0.024583847751503685,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.018974692437447427,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.08596797767191378,ok
-75105,1.0,336,0.890912864676346,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,344,0.029195020984121633,ok
-75156,1.0,348,0.11814063159869614,ok
-75097,1.0,349,0.014519472944802159,ok
-75101,1.0,352,0.18566222232178675,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,359,0.8044503421707234,ok
-75120,1.0,365,0.002216917908264948,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.4878671463781179,ok
+ova_omentum,1.0,3,0.0023574252624086744,ok
+colleges_usnews,1.0,58,0.1531038958200216,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.010583210410810229,ok
+pc4,1.0,31,0.34536251585048616,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,220,0.0027691909122957714,ok
+puma8nh,1.0,19,0.08580090152984066,ok
+phoneme,1.0,20,0.0864017835414308,ok
+cpu_act,1.0,73,0.007850102029398953,ok
+house_8l,1.0,22,0.09992542504725932,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,172,0.4951030769313238,ok
+bank-marketing,1.0,317,0.47192427029766393,ok
+analcatdata_halloffame,1.0,27,0.18758049365145113,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,0.0523509570028029,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,59,0.21579019519283416,ok
+analcatdata_supreme,1.0,273,0.0003608598387342399,ok
+colleges_aaup,1.0,37,0.0002747755999267243,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.6619346271836501,ok
+hypothyroid,1.0,164,0.002653934516532064,ok
+sylva_prior,1.0,50,0.006215426914405242,ok
+ova_ovary,1.0,52,0.002676573380457681,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.07528745452759777,ok
+ringnorm,1.0,56,0.004936877014319552,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.02779561860055213,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.07293643503720026,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.5605685730424698,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.01173804467069206,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.006191375107805208,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.010785170617967688,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.10410861094426194,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.22481062993849077,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.014340735646710567,ok
+kc1,1.0,136,0.5162235680666997,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.05232648789248073,ok
+kr-vs-kp,1.0,107,8.366996616537836e-05,ok
+fried,1.0,109,0.011200609583141508,ok
+houses,1.0,110,0.0006257932468407557,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,272,0.5805996295606374,ok
+credit-g,1.0,141,0.3381950434129559,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,0.0038194827767713546,ok
+jm1,1.0,187,0.5754045178901972,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,133,0.44862438395455684,ok
+pol,1.0,137,0.001190801337554337,ok
+ailerons,1.0,140,0.028488273885671878,ok
+codrna,1.0,145,0.001112662584136892,ok
+delta_ailerons,1.0,150,0.02685795440651706,ok
+imdb.drama,1.0,152,0.5668173788275173,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.06131091254116239,ok
+wilt,1.0,230,0.05533956012799779,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,169,0.005428243341756178,ok
+vehicle_sensit,1.0,176,0.05749081881675733,ok
+japanesevowels,1.0,177,2.369743054941864e-05,ok
+ipums_la_99-small,1.0,298,0.6266299217591191,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,256,0.0006359144097769498,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.3143148012874739,ok
+puma32h,1.0,215,0.0211371390556796,ok
+delta_elevators,1.0,217,0.04617966821935626,ok
+twonorm,1.0,218,0.0012256656184541637,ok
+mv,1.0,223,2.662413856047152e-07,ok
+ozone-level-8hr,1.0,226,0.5154066456573045,ok
+pc2,1.0,356,0.9598316865324259,ok
+click_prediction_small,1.0,237,0.891944235816124,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.01506789853315349,ok
+mc1,1.0,332,0.5995165540719386,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.004229694217922297,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,1.0920271134029491e-06,ok
+ova_colon,1.0,294,0.00926416480533232,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.11285722810988297,ok
+sylva_agnostic,1.0,372,0.024583847751503685,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.018974692437447427,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.08596797767191378,ok
+kddcup09_appetency,1.0,336,0.890912864676346,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.029195020984121633,ok
+bioresponse,1.0,348,0.11814063159869614,ok
+amazon_employee_access,1.0,349,0.014519472944802159,ok
+higgs,1.0,352,0.18566222232178675,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,359,0.8044503421707234,ok
+ova_endometrium,1.0,365,0.002216917908264948,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
-288,1.0,3e-05,2e-05,0.00033,5e-05,3e-05,0.00592,0.00492,4e-05,0.00071,5e-05,0.00039,2e-05,4e-05,4e-05,0.00015,0.00014,7e-05,3e-05,8e-05,4e-05,0.00029,3e-05,1e-05,7e-05,0.00018,0.00084,1e-05,1e-05,0.00024,0.00047,0.00011,0.00052,9e-05,8e-05,0.0001,0.00025,0.00076,0.00027,0.00012,0.00012,0.00025,0.0028
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-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
-75092,1.0,1e-05,1e-05,7e-05,1e-05,1e-05,0.00086,0.00067,1e-05,0.00015,1e-05,7e-05,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00016,2e-05,1e-05,4e-05,9e-05,0.0005,0.0,0.0,0.00014,0.00028,7e-05,0.00057,9e-05,0.0001,0.00012,0.00026,0.00045,7e-05,9e-05,0.0001,0.0002,0.00058
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-75097,1.0,3e-05,2e-05,0.00078,3e-05,2e-05,0.02319,0.02025,2e-05,0.0024,2e-05,0.00059,1e-05,3e-05,3e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00028,4e-05,1e-05,6e-05,0.00017,0.00051,1e-05,1e-05,0.0001,0.00026,0.00012,0.00051,7e-05,9e-05,0.00014,0.0002,0.00126,0.00021,0.00021,0.00026,0.00058,0.0149
-75098,1.0,4e-05,1e-05,0.0023,2e-05,2e-05,0.22445,0.08459,6e-05,0.06702,8e-05,0.07298,1e-05,0.00014,0.00016,0.00021,0.00015,0.00012,1e-05,0.00014,2e-05,0.0002,2e-05,1e-05,4e-05,0.00014,0.00046,0.0,0.0,0.00014,0.00025,6e-05,0.00054,9e-05,0.0001,0.00012,0.00024,0.00066,0.00019,0.0001,0.00013,0.00024,0.02063
-75099,1.0,2e-05,1e-05,0.00019,3e-05,2e-05,0.00335,0.00281,3e-05,0.00045,3e-05,0.00016,1e-05,5e-05,5e-05,0.00012,0.00021,6e-05,2e-05,8e-05,3e-05,0.00037,4e-05,2e-05,0.0001,0.00021,0.00108,1e-05,1e-05,0.00034,0.00057,0.00016,0.00104,0.00015,0.00023,0.00032,0.00033,0.00078,0.00012,0.00016,0.00017,0.00034,0.00205
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diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/algorithm_runs.arff
index 918f05b453..1609efb5b4 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.4878671463781179,ok
-75119,1.0,2,0.002137350729978782,ok
-75139,1.0,321,0.0011032597395757016,ok
-75212,1.0,7,0.15256933986822485,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.010583210410810229,ok
-75092,1.0,14,0.30710749896123346,ok
-75239,1.0,15,0.0,ok
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-75215,1.0,269,0.002476203635612073,ok
-75171,1.0,21,0.08332235273571365,ok
-75112,1.0,23,0.08193498734798665,ok
-75227,1.0,24,0.08588152611624555,ok
-75233,1.0,102,0.0064702521306301275,ok
-75182,1.0,138,0.09558610812790125,ok
-253,1.0,27,?,not_applicable
-75157,1.0,29,0.4866314915324267,ok
-75187,1.0,267,0.0012256656184541637,ok
-75124,1.0,31,0.4642760381864932,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,285,0.18411818014888381,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,37,0.051632868284900324,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,234,0.20737529848879477,ok
-75143,1.0,43,0.0003380689531951031,ok
-75196,1.0,46,0.0002747755999267243,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.6619346271836501,ok
-75249,1.0,204,0.002653934516532064,ok
-75113,1.0,59,0.006215426914405242,ok
-75126,1.0,63,0.002676573380457681,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.07476766843004146,ok
-75234,1.0,68,0.0025570500491878256,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.02779561860055213,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.0560527025009423,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,85,0.42859893550912664,ok
-75146,1.0,88,0.026973436894305536,ok
-244,1.0,89,?,not_applicable
-75141,1.0,163,0.01173804467069206,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.003957289838288358,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.010220794182362214,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,106,0.09374742289809834,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,238,0.21841087762761613,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.014259133477716013,ok
-75099,1.0,171,0.4137854912995014,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,253,0.04341182208035166,ok
-233,1.0,137,8.366996616537836e-05,ok
-75161,1.0,139,0.010310568908566298,ok
-75176,1.0,143,0.0006257932468407557,ok
-262,1.0,146,?,not_applicable
-75129,1.0,402,0.5738839791179444,ok
-261,1.0,221,0.3342676421661406,ok
-75114,1.0,152,0.0038194827767713546,ok
-75093,1.0,230,0.542497148196514,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,167,0.44862438395455684,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,186,0.001708447332475549,ok
-75163,1.0,189,0.02685795440651706,ok
-2350,1.0,191,0.5668173788275173,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.033809555590903706,ok
-75095,1.0,284,0.05533956012799779,ok
-75108,1.0,207,0.0,ok
-75117,1.0,211,0.005428243341756178,ok
-75191,1.0,218,0.05749081881675733,ok
-75226,1.0,219,1.4184231685643311e-05,ok
-75244,1.0,372,0.6238946964248455,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,319,0.0005163333961275551,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,1.0920271134029491e-06,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.3143148012874739,ok
-75153,1.0,263,0.0211371390556796,ok
-75195,1.0,271,1.56543381590879e-08,ok
-266,1.0,277,?,not_applicable
-75225,1.0,280,0.5115141783633365,ok
-75100,1.0,288,0.8230078173288692,ok
-75132,1.0,294,0.850465089313205,ok
-75210,1.0,298,0.0,ok
-273,1.0,301,0.014844523360765693,ok
-75133,1.0,413,0.4929884165869626,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.002899511502766572,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.005869457471176065,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.11110189077492749,ok
-75103,1.0,379,0.02047713329298051,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.017915489066529955,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.8760240593052668,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.02913958847349507,ok
-75156,1.0,430,0.11592045149703145,ok
-75097,1.0,434,0.014519472944802159,ok
-75101,1.0,438,0.17587098260204748,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.7856870980692269,ok
-75120,1.0,456,0.002216917908264948,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.4878671463781179,ok
+ova_omentum,1.0,2,0.002137350729978782,ok
+pol,1.0,321,0.0011032597395757016,ok
+colleges_usnews,1.0,7,0.15256933986822485,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.010583210410810229,ok
+pc4,1.0,14,0.30710749896123346,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.04498004745710049,ok
+phishingwebsites,1.0,269,0.002476203635612073,ok
+puma8nh,1.0,21,0.08332235273571365,ok
+magictelescope,1.0,23,0.08193498734798665,ok
+phoneme,1.0,24,0.08588152611624555,ok
+cpu_act,1.0,102,0.0064702521306301275,ok
+house_8l,1.0,138,0.09558610812790125,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,0.4866314915324267,ok
+twonorm,1.0,267,0.0012256656184541637,ok
+bank-marketing,1.0,31,0.4642760381864932,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,285,0.18411818014888381,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,0.051632868284900324,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,234,0.20737529848879477,ok
+analcatdata_supreme,1.0,43,0.0003380689531951031,ok
+colleges_aaup,1.0,46,0.0002747755999267243,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.6619346271836501,ok
+hypothyroid,1.0,204,0.002653934516532064,ok
+sylva_prior,1.0,59,0.006215426914405242,ok
+ova_ovary,1.0,63,0.002676573380457681,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.07476766843004146,ok
+ringnorm,1.0,68,0.0025570500491878256,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.02779561860055213,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.0560527025009423,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,85,0.42859893550912664,ok
+ailerons,1.0,88,0.026973436894305536,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,163,0.01173804467069206,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.003957289838288358,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.010220794182362214,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,0.09374742289809834,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,238,0.21841087762761613,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.014259133477716013,ok
+kc1,1.0,171,0.4137854912995014,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,253,0.04341182208035166,ok
+kr-vs-kp,1.0,137,8.366996616537836e-05,ok
+fried,1.0,139,0.010310568908566298,ok
+houses,1.0,143,0.0006257932468407557,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,402,0.5738839791179444,ok
+credit-g,1.0,221,0.3342676421661406,ok
+ova_breast,1.0,152,0.0038194827767713546,ok
+jm1,1.0,230,0.542497148196514,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,167,0.44862438395455684,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,186,0.001708447332475549,ok
+delta_ailerons,1.0,189,0.02685795440651706,ok
+imdb.drama,1.0,191,0.5668173788275173,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.033809555590903706,ok
+wilt,1.0,284,0.05533956012799779,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,211,0.005428243341756178,ok
+vehicle_sensit,1.0,218,0.05749081881675733,ok
+japanesevowels,1.0,219,1.4184231685643311e-05,ok
+ipums_la_99-small,1.0,372,0.6238946964248455,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,319,0.0005163333961275551,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,1.0920271134029491e-06,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.3143148012874739,ok
+puma32h,1.0,263,0.0211371390556796,ok
+mv,1.0,271,1.56543381590879e-08,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,280,0.5115141783633365,ok
+pc2,1.0,288,0.8230078173288692,ok
+click_prediction_small,1.0,294,0.850465089313205,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,301,0.014844523360765693,ok
+mc1,1.0,413,0.4929884165869626,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.002899511502766572,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.005869457471176065,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.11110189077492749,ok
+sylva_agnostic,1.0,379,0.02047713329298051,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.017915489066529955,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.8760240593052668,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.02913958847349507,ok
+bioresponse,1.0,430,0.11592045149703145,ok
+amazon_employee_access,1.0,434,0.014519472944802159,ok
+higgs,1.0,438,0.17587098260204748,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.7856870980692269,ok
+ova_endometrium,1.0,456,0.002216917908264948,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
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+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/algorithm_runs.arff
index 6e80d914a1..261d995bd7 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75119,1.0,3,0.0023574252624086744,ok
-75212,1.0,58,0.1531038958200216,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.010583210410810229,ok
-75092,1.0,31,0.34536251585048616,ok
-75239,1.0,13,0.0,ok
-75215,1.0,220,0.0027691909122957714,ok
-75171,1.0,19,0.08580090152984066,ok
-75227,1.0,20,0.0864017835414308,ok
-75233,1.0,73,0.007850102029398953,ok
-75182,1.0,22,0.09992542504725932,ok
-253,1.0,23,?,not_applicable
-75157,1.0,172,0.4951030769313238,ok
-75124,1.0,317,0.47192427029766393,ok
-75222,1.0,27,0.18758049365145113,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,30,0.0523509570028029,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,59,0.21579019519283416,ok
-75143,1.0,273,0.0003608598387342399,ok
-75196,1.0,37,0.0002747755999267243,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.6619346271836501,ok
-75249,1.0,164,0.002653934516532064,ok
-75113,1.0,50,0.006215426914405242,ok
-75126,1.0,52,0.002676573380457681,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.07528745452759777,ok
-75234,1.0,56,0.004936877014319552,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.02779561860055213,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.07293643503720026,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.5605685730424698,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.01173804467069206,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.006191375107805208,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.010785170617967688,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.10410861094426194,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.22481062993849077,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.014340735646710567,ok
-75099,1.0,136,0.5162235680666997,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.05232648789248073,ok
-233,1.0,107,8.366996616537836e-05,ok
-75161,1.0,109,0.011200609583141508,ok
-75176,1.0,110,0.0006257932468407557,ok
-262,1.0,113,?,not_applicable
-75129,1.0,272,0.5805996295606374,ok
-261,1.0,141,0.3381950434129559,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,118,0.0038194827767713546,ok
-75093,1.0,187,0.5754045178901972,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,133,0.44862438395455684,ok
-75139,1.0,137,0.001190801337554337,ok
-75146,1.0,140,0.028488273885671878,ok
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-75163,1.0,150,0.02685795440651706,ok
-2350,1.0,152,0.5668173788275173,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.06131091254116239,ok
-75095,1.0,230,0.05533956012799779,ok
-75108,1.0,167,0.0,ok
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-75236,1.0,181,?,not_applicable
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-75116,1.0,256,0.0006359144097769498,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
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-75127,1.0,207,0.3143148012874739,ok
-75153,1.0,215,0.0211371390556796,ok
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-75133,1.0,332,0.5995165540719386,ok
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-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.004229694217922297,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,1.0920271134029491e-06,ok
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-75103,1.0,372,0.024583847751503685,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.018974692437447427,ok
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-75112,1.0,331,0.08596797767191378,ok
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-75097,1.0,349,0.014519472944802159,ok
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-75172,1.0,353,?,not_applicable
-75106,1.0,359,0.8044503421707234,ok
-75120,1.0,365,0.002216917908264948,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.4878671463781179,ok
+ova_omentum,1.0,3,0.0023574252624086744,ok
+colleges_usnews,1.0,58,0.1531038958200216,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.010583210410810229,ok
+pc4,1.0,31,0.34536251585048616,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,220,0.0027691909122957714,ok
+puma8nh,1.0,19,0.08580090152984066,ok
+phoneme,1.0,20,0.0864017835414308,ok
+cpu_act,1.0,73,0.007850102029398953,ok
+house_8l,1.0,22,0.09992542504725932,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,172,0.4951030769313238,ok
+bank-marketing,1.0,317,0.47192427029766393,ok
+analcatdata_halloffame,1.0,27,0.18758049365145113,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,0.0523509570028029,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,59,0.21579019519283416,ok
+analcatdata_supreme,1.0,273,0.0003608598387342399,ok
+colleges_aaup,1.0,37,0.0002747755999267243,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.6619346271836501,ok
+hypothyroid,1.0,164,0.002653934516532064,ok
+sylva_prior,1.0,50,0.006215426914405242,ok
+ova_ovary,1.0,52,0.002676573380457681,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.07528745452759777,ok
+ringnorm,1.0,56,0.004936877014319552,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.02779561860055213,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.07293643503720026,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.5605685730424698,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.01173804467069206,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.006191375107805208,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.010785170617967688,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.10410861094426194,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.22481062993849077,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.014340735646710567,ok
+kc1,1.0,136,0.5162235680666997,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.05232648789248073,ok
+kr-vs-kp,1.0,107,8.366996616537836e-05,ok
+fried,1.0,109,0.011200609583141508,ok
+houses,1.0,110,0.0006257932468407557,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,272,0.5805996295606374,ok
+credit-g,1.0,141,0.3381950434129559,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,0.0038194827767713546,ok
+jm1,1.0,187,0.5754045178901972,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,133,0.44862438395455684,ok
+pol,1.0,137,0.001190801337554337,ok
+ailerons,1.0,140,0.028488273885671878,ok
+codrna,1.0,145,0.001112662584136892,ok
+delta_ailerons,1.0,150,0.02685795440651706,ok
+imdb.drama,1.0,152,0.5668173788275173,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.06131091254116239,ok
+wilt,1.0,230,0.05533956012799779,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,169,0.005428243341756178,ok
+vehicle_sensit,1.0,176,0.05749081881675733,ok
+japanesevowels,1.0,177,2.369743054941864e-05,ok
+ipums_la_99-small,1.0,298,0.6266299217591191,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,256,0.0006359144097769498,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.3143148012874739,ok
+puma32h,1.0,215,0.0211371390556796,ok
+delta_elevators,1.0,217,0.04617966821935626,ok
+twonorm,1.0,218,0.0012256656184541637,ok
+mv,1.0,223,2.662413856047152e-07,ok
+ozone-level-8hr,1.0,226,0.5154066456573045,ok
+pc2,1.0,356,0.9598316865324259,ok
+click_prediction_small,1.0,237,0.891944235816124,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.01506789853315349,ok
+mc1,1.0,332,0.5995165540719386,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.004229694217922297,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,1.0920271134029491e-06,ok
+ova_colon,1.0,294,0.00926416480533232,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.11285722810988297,ok
+sylva_agnostic,1.0,372,0.024583847751503685,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.018974692437447427,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.08596797767191378,ok
+kddcup09_appetency,1.0,336,0.890912864676346,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.029195020984121633,ok
+bioresponse,1.0,348,0.11814063159869614,ok
+amazon_employee_access,1.0,349,0.014519472944802159,ok
+higgs,1.0,352,0.18566222232178675,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,359,0.8044503421707234,ok
+ova_endometrium,1.0,365,0.002216917908264948,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
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diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/algorithm_runs.arff
index e0edfe5d00..4e9f8a024c 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+kddcup09_appetency,1.0,418,0.2578602336574871,ok
+one-hundred-plants-margin,1.0,422,0.1541545189504374,ok
+adult,1.0,429,0.16851840850367505,ok
+bioresponse,1.0,430,0.20890365833733027,ok
+amazon_employee_access,1.0,437,0.22022348051074758,ok
+higgs,1.0,438,0.2704266856889155,ok
+oh0.wc,1.0,447,0.07357976617051032,ok
+kddcup09_churn,1.0,451,0.33189297926878125,ok
+ova_endometrium,1.0,459,0.1501022494887525,ok
+covertype,1.0,461,0.048015971884640574,ok
diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/algorithm_runs.arff
index 506aab5615..4fb9e0dff3 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+nursery,1.0,1e-05,1e-05,0.00029,1e-05,1e-05,0.00461,0.00415,1e-05,0.00035,1e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.0004,6e-05,6e-05,8e-05,0.0002,0.00039,6e-05,6e-05,8e-05,0.00019,0.00265
+ipums_la_99-small,1.0,3e-05,2e-05,0.0004,3e-05,2e-05,0.0173,0.01298,4e-05,0.00267,4e-05,0.00174,1e-05,7e-05,9e-05,0.00024,0.00027,8e-05,2e-05,0.00013,3e-05,0.00045,7e-05,2e-05,0.00011,0.00025,0.00077,6e-05,2e-05,0.00021,0.00034,0.00013,0.00077,0.00014,0.00013,0.00026,0.00023,0.00044,7e-05,8e-05,0.0001,0.00019,0.00649
+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/algorithm_runs.arff
index e0edfe5d00..4e9f8a024c 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/algorithm_runs.arff
index 506aab5615..4fb9e0dff3 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ova_kidney,1.0,219,0.016878962700634048,ok
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+airlines,1.0,207,0.3380998948824423,ok
+puma32h,1.0,215,0.08236574746008707,ok
+delta_elevators,1.0,216,0.11901785714285718,ok
+twonorm,1.0,218,0.016023627754155445,ok
+mv,1.0,223,0.0005630630630630851,ok
+ozone-level-8hr,1.0,266,0.15122673434856182,ok
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+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.047059468147282235,ok
+mc1,1.0,333,0.16507138459734394,ok
+ova_prostate,1.0,244,0.022727272727272707,ok
+mnist_784,1.0,249,0.015321452269665192,ok
+ova_lung,1.0,254,0.08536585365853666,ok
+segment,1.0,258,0.017510588986410447,ok
+ldpa,1.0,276,0.011154102369127616,ok
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+la1s.wc,1.0,282,0.09021894986407675,ok
+abalone,1.0,289,0.34628082367940793,ok
+skin-segmentation,1.0,292,0.0004176760322044393,ok
+ova_colon,1.0,296,0.06814919251473983,ok
+satimage,1.0,316,0.110448905101181,ok
+qsar-biodeg,1.0,303,0.1688561887637151,ok
+sylva_agnostic,1.0,306,0.0031496062992126816,ok
+mfeat-factors,1.0,307,0.008900028312760488,ok
+one-hundred-plants-shape,1.0,312,0.2964933592484612,ok
+kdd_ipums_la_97-small,1.0,321,0.01733703190013869,ok
+new3s.wc,1.0,326,0.09994663995318298,ok
+la2s.wc,1.0,329,0.09663470965787901,ok
+magictelescope,1.0,331,0.14874114985094045,ok
+kddcup09_appetency,1.0,336,0.2578602336574871,ok
+one-hundred-plants-margin,1.0,339,0.1541545189504374,ok
+adult,1.0,344,0.16851840850367505,ok
+bioresponse,1.0,345,0.20890365833733027,ok
+amazon_employee_access,1.0,351,0.22022348051074758,ok
+higgs,1.0,352,0.2771707954725513,ok
+oh0.wc,1.0,357,0.07357976617051032,ok
+kddcup09_churn,1.0,361,0.33397433434510315,ok
+ova_endometrium,1.0,368,0.1501022494887525,ok
+covertype,1.0,369,0.048015971884640574,ok
diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_binary.classification_dense/algorithm_runs.arff
index e5cb6fc118..10d47b18ca 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,384,0.46784922394678496,ok
-75119,1.0,3,0.017400204708290734,ok
-75139,1.0,321,0.014101778050275793,ok
-75212,1.0,7,0.24716553287981857,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.06249999999999989,ok
-75092,1.0,38,0.3885350318471338,ok
-75239,1.0,15,0.0,ok
-75173,1.0,265,0.11573636076947336,ok
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-75233,1.0,91,0.042766631467793026,ok
-75182,1.0,138,0.18899521531100472,ok
-253,1.0,27,?,not_applicable
-75157,1.0,87,0.4296875000000001,ok
-75187,1.0,267,0.015539689206215956,ok
-75124,1.0,31,0.45247148288973393,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,130,0.23684210526315774,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.12857836001940803,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.25668449197860965,ok
-75143,1.0,43,0.006413418845584551,ok
-75196,1.0,44,0.014354066985646008,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.607843137254902,ok
-75249,1.0,58,0.020408163265306145,ok
-75113,1.0,335,0.031825795644891186,ok
-75126,1.0,63,0.017897091722595126,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.1615120274914088,ok
-75234,1.0,68,0.02359641985353944,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.09015777610818954,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.12393566698202463,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,84,0.4545454545454546,ok
-75146,1.0,177,0.09265899226269125,ok
-244,1.0,89,?,not_applicable
-75141,1.0,165,0.06294964028776973,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,213,0.021114106019766377,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.06249999999999989,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,108,0.1862905106085334,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,453,0.2838283828382837,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,121,0.06886646534580543,ok
-75099,1.0,125,0.47770700636942665,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.12241191427533604,ok
-233,1.0,136,0.003064351378958219,ok
-75161,1.0,139,0.057576203799145964,ok
-75176,1.0,328,0.014018079392113303,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.5405405405405406,ok
-261,1.0,148,0.38596491228070173,ok
-75114,1.0,154,0.012499999999999956,ok
-75093,1.0,231,0.551433389544688,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,169,0.43380855397148677,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.014132546793966805,ok
-75163,1.0,354,0.06316274781005071,ok
-2350,1.0,191,0.511668230010517,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,424,0.11904761904761907,ok
-75095,1.0,344,0.11111111111111116,ok
-75108,1.0,208,0.0,ok
-75117,1.0,212,0.02444208289054195,ok
-75191,1.0,217,0.13333980142944912,ok
-75226,1.0,219,0.0017972681524083267,ok
-75244,1.0,372,0.5980392156862746,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,320,0.003516998827667206,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,365,0.00021815348656006872,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.3767906126181041,ok
-75153,1.0,263,0.08159531650201235,ok
-75195,1.0,274,0.00018772292096869148,ok
-266,1.0,277,?,not_applicable
-75225,1.0,280,0.569620253164557,ok
-75100,1.0,286,0.7777777777777778,ok
-75132,1.0,296,0.8615541098125012,ok
-75210,1.0,298,0.0,ok
-273,1.0,301,0.051914893617021396,ok
-75133,1.0,413,0.4054054054054055,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,317,0.007423117709437932,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,370,0.017878426698450633,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.1806167400881057,ok
-75103,1.0,380,0.043887147335423204,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.027808676307007896,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,418,0.8969978032706859,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,428,0.08940568475452193,ok
-75156,1.0,430,0.18486171761280923,ok
-75097,1.0,435,0.025833815307499397,ok
-75101,1.0,438,0.2539724190209627,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,451,0.7721443483447659,ok
-75120,1.0,458,0.016227180527383478,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,384,0.46784922394678496,ok
+ova_omentum,1.0,3,0.017400204708290734,ok
+pol,1.0,321,0.014101778050275793,ok
+colleges_usnews,1.0,7,0.24716553287981857,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.06249999999999989,ok
+pc4,1.0,38,0.3885350318471338,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,265,0.11573636076947336,ok
+phishingwebsites,1.0,18,0.02197536826853408,ok
+puma8nh,1.0,20,0.16186915887850462,ok
+magictelescope,1.0,23,0.16824471959213405,ok
+phoneme,1.0,28,0.16061185468451245,ok
+cpu_act,1.0,91,0.042766631467793026,ok
+house_8l,1.0,138,0.18899521531100472,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,87,0.4296875000000001,ok
+twonorm,1.0,267,0.015539689206215956,ok
+bank-marketing,1.0,31,0.45247148288973393,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,130,0.23684210526315774,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.12857836001940803,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.25668449197860965,ok
+analcatdata_supreme,1.0,43,0.006413418845584551,ok
+colleges_aaup,1.0,44,0.014354066985646008,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.607843137254902,ok
+hypothyroid,1.0,58,0.020408163265306145,ok
+sylva_prior,1.0,335,0.031825795644891186,ok
+ova_ovary,1.0,63,0.017897091722595126,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.1615120274914088,ok
+ringnorm,1.0,68,0.02359641985353944,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.09015777610818954,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.12393566698202463,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,0.4545454545454546,ok
+ailerons,1.0,177,0.09265899226269125,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,165,0.06294964028776973,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,213,0.021114106019766377,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.06249999999999989,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,108,0.1862905106085334,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,453,0.2838283828382837,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,121,0.06886646534580543,ok
+kc1,1.0,125,0.47770700636942665,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.12241191427533604,ok
+kr-vs-kp,1.0,136,0.003064351378958219,ok
+fried,1.0,139,0.057576203799145964,ok
+houses,1.0,328,0.014018079392113303,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.5405405405405406,ok
+credit-g,1.0,148,0.38596491228070173,ok
+ova_breast,1.0,154,0.012499999999999956,ok
+jm1,1.0,231,0.551433389544688,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,169,0.43380855397148677,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.014132546793966805,ok
+delta_ailerons,1.0,354,0.06316274781005071,ok
+imdb.drama,1.0,191,0.511668230010517,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,424,0.11904761904761907,ok
+wilt,1.0,344,0.11111111111111116,ok
+musk,1.0,208,0.0,ok
+ova_uterus,1.0,212,0.02444208289054195,ok
+vehicle_sensit,1.0,217,0.13333980142944912,ok
+japanesevowels,1.0,219,0.0017972681524083267,ok
+ipums_la_99-small,1.0,372,0.5980392156862746,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,320,0.003516998827667206,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,365,0.00021815348656006872,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.3767906126181041,ok
+puma32h,1.0,263,0.08159531650201235,ok
+mv,1.0,274,0.00018772292096869148,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,280,0.569620253164557,ok
+pc2,1.0,286,0.7777777777777778,ok
+click_prediction_small,1.0,296,0.8615541098125012,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,301,0.051914893617021396,ok
+mc1,1.0,413,0.4054054054054055,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,317,0.007423117709437932,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,370,0.017878426698450633,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.1806167400881057,ok
+sylva_agnostic,1.0,380,0.043887147335423204,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.027808676307007896,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,418,0.8969978032706859,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,428,0.08940568475452193,ok
+bioresponse,1.0,430,0.18486171761280923,ok
+amazon_employee_access,1.0,435,0.025833815307499397,ok
+higgs,1.0,438,0.2539724190209627,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,451,0.7721443483447659,ok
+ova_endometrium,1.0,458,0.016227180527383478,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
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+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_binary.classification_sparse/algorithm_runs.arff
index cefe06bb72..a5daa7f5c4 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,308,0.4695652173913044,ok
-75119,1.0,2,0.01836734693877551,ok
-75212,1.0,319,0.2584269662921348,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.06249999999999989,ok
-75092,1.0,31,0.3885350318471338,ok
-75239,1.0,13,0.0,ok
-75215,1.0,287,0.02388419782870932,ok
-75171,1.0,17,0.16186915887850462,ok
-75227,1.0,151,0.16197866149369544,ok
-75233,1.0,83,0.045621394861038334,ok
-75182,1.0,22,0.19539730785931397,ok
-253,1.0,23,?,not_applicable
-75157,1.0,70,0.4296875000000001,ok
-75124,1.0,202,0.5073529411764706,ok
-75222,1.0,27,0.267605633802817,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,259,0.13307240704500978,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.2586666666666667,ok
-75143,1.0,34,0.006419753086419733,ok
-75196,1.0,35,0.014354066985646008,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.607843137254902,ok
-75249,1.0,49,0.020408163265306145,ok
-75113,1.0,50,0.04234527687296408,ok
-75126,1.0,51,0.022271714922049046,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.16530373831775702,ok
-75234,1.0,56,0.030995106035889064,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.09015777610818954,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.13452492944496708,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,186,0.6160000000000001,ok
-244,1.0,71,?,not_applicable
-75141,1.0,131,0.06294964028776973,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.026528776978417268,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.06249999999999989,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.19286801478582305,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.2897696839850028,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,0.06979143636229634,ok
-75099,1.0,98,0.5319148936170213,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.1333333333333333,ok
-233,1.0,107,0.004073319755600768,ok
-75161,1.0,109,0.06113118501585424,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,114,0.5614973262032086,ok
-261,1.0,115,0.38596491228070173,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,120,0.012499999999999956,ok
-75093,1.0,187,0.551433389544688,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,133,0.4384577360355908,ok
-75139,1.0,313,0.01593137254901955,ok
-75146,1.0,140,0.09667558272831489,ok
-75189,1.0,145,0.012421433500568901,ok
-75163,1.0,150,0.06384933394579695,ok
-2350,1.0,152,0.511668230010517,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.12994350282485867,ok
-75095,1.0,163,0.1165644171779141,ok
-75108,1.0,167,0.0,ok
-75117,1.0,170,0.02444208289054195,ok
-75191,1.0,175,0.13333980142944912,ok
-75226,1.0,264,0.0023385500989385744,ok
-75244,1.0,298,0.5980392156862746,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,0.005847953216374324,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.3767906126181041,ok
-75153,1.0,215,0.08159531650201235,ok
-75173,1.0,216,0.11768407803650094,ok
-75187,1.0,218,0.016365925304238305,ok
-75195,1.0,223,0.0005633802816901179,ok
-75225,1.0,266,0.5897435897435896,ok
-75100,1.0,232,0.9166666666666666,ok
-75132,1.0,237,0.8615541098125012,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.055698371893744714,ok
-75133,1.0,332,0.48571428571428577,ok
-75121,1.0,244,0.0010256410256410664,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,254,0.007423117709437932,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,292,0.00021815348656006872,ok
-75125,1.0,293,0.02026221692491048,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,301,0.219298245614035,ok
-75103,1.0,306,0.043887147335423204,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.027808676307007896,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.18627450980392168,ok
-75105,1.0,336,0.8969978032706859,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,343,0.09187697160883279,ok
-75156,1.0,345,0.18486171761280923,ok
-75097,1.0,350,0.025833815307499397,ok
-75101,1.0,352,0.26037383722625607,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,358,0.7728826433725788,ok
-75120,1.0,367,0.018218623481781382,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,308,0.4695652173913044,ok
+ova_omentum,1.0,2,0.01836734693877551,ok
+colleges_usnews,1.0,319,0.2584269662921348,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.06249999999999989,ok
+pc4,1.0,31,0.3885350318471338,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,287,0.02388419782870932,ok
+puma8nh,1.0,17,0.16186915887850462,ok
+phoneme,1.0,151,0.16197866149369544,ok
+cpu_act,1.0,83,0.045621394861038334,ok
+house_8l,1.0,22,0.19539730785931397,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,70,0.4296875000000001,ok
+bank-marketing,1.0,202,0.5073529411764706,ok
+analcatdata_halloffame,1.0,27,0.267605633802817,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,259,0.13307240704500978,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.2586666666666667,ok
+analcatdata_supreme,1.0,34,0.006419753086419733,ok
+colleges_aaup,1.0,35,0.014354066985646008,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.607843137254902,ok
+hypothyroid,1.0,49,0.020408163265306145,ok
+sylva_prior,1.0,50,0.04234527687296408,ok
+ova_ovary,1.0,51,0.022271714922049046,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.16530373831775702,ok
+ringnorm,1.0,56,0.030995106035889064,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.09015777610818954,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.13452492944496708,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,186,0.6160000000000001,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,131,0.06294964028776973,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.026528776978417268,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.06249999999999989,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.19286801478582305,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.2897696839850028,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,0.06979143636229634,ok
+kc1,1.0,98,0.5319148936170213,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.1333333333333333,ok
+kr-vs-kp,1.0,107,0.004073319755600768,ok
+fried,1.0,109,0.06113118501585424,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,0.5614973262032086,ok
+credit-g,1.0,115,0.38596491228070173,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,120,0.012499999999999956,ok
+jm1,1.0,187,0.551433389544688,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,133,0.4384577360355908,ok
+pol,1.0,313,0.01593137254901955,ok
+ailerons,1.0,140,0.09667558272831489,ok
+codrna,1.0,145,0.012421433500568901,ok
+delta_ailerons,1.0,150,0.06384933394579695,ok
+imdb.drama,1.0,152,0.511668230010517,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.12994350282485867,ok
+wilt,1.0,163,0.1165644171779141,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,170,0.02444208289054195,ok
+vehicle_sensit,1.0,175,0.13333980142944912,ok
+japanesevowels,1.0,264,0.0023385500989385744,ok
+ipums_la_99-small,1.0,298,0.5980392156862746,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,0.005847953216374324,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.3767906126181041,ok
+puma32h,1.0,215,0.08159531650201235,ok
+delta_elevators,1.0,216,0.11768407803650094,ok
+twonorm,1.0,218,0.016365925304238305,ok
+mv,1.0,223,0.0005633802816901179,ok
+ozone-level-8hr,1.0,266,0.5897435897435896,ok
+pc2,1.0,232,0.9166666666666666,ok
+click_prediction_small,1.0,237,0.8615541098125012,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.055698371893744714,ok
+mc1,1.0,332,0.48571428571428577,ok
+ova_prostate,1.0,244,0.0010256410256410664,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,254,0.007423117709437932,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,292,0.00021815348656006872,ok
+ova_colon,1.0,293,0.02026221692491048,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,301,0.219298245614035,ok
+sylva_agnostic,1.0,306,0.043887147335423204,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.027808676307007896,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.18627450980392168,ok
+kddcup09_appetency,1.0,336,0.8969978032706859,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,343,0.09187697160883279,ok
+bioresponse,1.0,345,0.18486171761280923,ok
+amazon_employee_access,1.0,350,0.025833815307499397,ok
+higgs,1.0,352,0.26037383722625607,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,0.7728826433725788,ok
+ova_endometrium,1.0,367,0.018218623481781382,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
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diff --git a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/algorithm_runs.arff
index b9f355794a..eb3808812a 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+adult,1.0,428,0.20355296245071763,ok
+bioresponse,1.0,430,0.20788540426095015,ok
+amazon_employee_access,1.0,434,0.2768325596220078,ok
+higgs,1.0,438,0.2701979939447693,ok
+oh0.wc,1.0,447,0.07501159737077501,ok
+kddcup09_churn,1.0,448,0.4199480889006998,ok
+ova_endometrium,1.0,458,0.25811359026369174,ok
+covertype,1.0,462,0.05442116449484413,ok
diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/algorithm_runs.arff
index 151516032c..20c5ef20eb 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/algorithm_runs.arff
index b9f355794a..eb3808812a 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/algorithm_runs.arff
index 151516032c..20c5ef20eb 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+one-hundred-plants-margin,1.0,339,0.1802317095989111,ok
+adult,1.0,342,0.21310263781518202,ok
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+higgs,1.0,352,0.2769537419801027,ok
+oh0.wc,1.0,357,0.07501159737077501,ok
+kddcup09_churn,1.0,358,0.4199480889006998,ok
+ova_endometrium,1.0,367,0.30910931174089074,ok
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/algorithm_runs.arff
index 1046840bcb..be5305ffcf 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/algorithm_runs.arff
index d9f6fad13f..dccbb8c249 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/algorithm_runs.arff
index 1046840bcb..be5305ffcf 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+delta_ailerons,1.0,354,0.05824829931972786,ok
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+musk,1.0,208,0.0,ok
+ova_uterus,1.0,212,0.04518664047151277,ok
+vehicle_sensit,1.0,217,0.1268069139447623,ok
+japanesevowels,1.0,219,0.0030422878004259246,ok
+ipums_la_99-small,1.0,222,0.06339958875942431,ok
+semeion,1.0,225,0.030476190476190435,ok
+isolet,1.0,290,0.032258064516129004,ok
+ova_kidney,1.0,320,0.005893909626719096,ok
+kr-vs-k,1.0,237,0.07960682652840789,ok
+gesturephasesegmentationprocessed,1.0,244,0.2965009208103131,ok
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+skin-segmentation,1.0,365,0.00034624326062226984,ok
+mfeat-morphological,1.0,403,0.2212121212121212,ok
+yeast,1.0,326,0.3926380368098159,ok
+airlines,1.0,257,0.3295748219061102,ok
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+mv,1.0,274,0.00022299858767560465,ok
+segment,1.0,322,0.018372703412073532,ok
+ozone-level-8hr,1.0,297,0.05023923444976075,ok
+pc2,1.0,286,0.00379609544468551,ok
+click_prediction_small,1.0,294,0.044535437790724774,ok
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+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,311,0.015194805194805205,ok
+ova_lung,1.0,317,0.013752455795677854,ok
+cardiotocography,1.0,337,0.0,ok
+ldpa,1.0,342,0.005367351065198589,ok
+poker-hand,1.0,346,0.004088667620590569,ok
+la1s.wc,1.0,352,0.0832544938505203,ok
+abalone,1.0,362,0.32002902757619733,ok
+ova_colon,1.0,369,0.029469548133595258,ok
+satimage,1.0,392,0.0801508722300801,ok
+qsar-biodeg,1.0,374,0.11781609195402298,ok
+sylva_agnostic,1.0,379,0.005684210526315736,ok
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+kdd_ipums_la_97-small,1.0,399,0.021588946459412783,ok
+new3s.wc,1.0,405,0.09511731135066581,ok
+la2s.wc,1.0,408,0.07495069033530577,ok
+kddcup09_appetency,1.0,415,0.01806060606060611,ok
+one-hundred-plants-margin,1.0,422,0.16666666666666663,ok
+adult,1.0,428,0.13954209840541043,ok
+bioresponse,1.0,430,0.20533548908649957,ok
+amazon_employee_access,1.0,435,0.049569962082678276,ok
+higgs,1.0,438,0.26922363703795293,ok
+oh0.wc,1.0,447,0.0696969696969697,ok
+kddcup09_churn,1.0,450,0.07127272727272727,ok
+ova_endometrium,1.0,458,0.03143418467583492,ok
+covertype,1.0,462,0.029233360975940537,ok
diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/algorithm_runs.arff
index d9f6fad13f..dccbb8c249 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_multiclass.classification_dense/algorithm_runs.arff
index e5cb6fc118..10d47b18ca 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,384,0.46784922394678496,ok
-75119,1.0,3,0.017400204708290734,ok
-75139,1.0,321,0.014101778050275793,ok
-75212,1.0,7,0.24716553287981857,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.06249999999999989,ok
-75092,1.0,38,0.3885350318471338,ok
-75239,1.0,15,0.0,ok
-75173,1.0,265,0.11573636076947336,ok
-75215,1.0,18,0.02197536826853408,ok
-75171,1.0,20,0.16186915887850462,ok
-75112,1.0,23,0.16824471959213405,ok
-75227,1.0,28,0.16061185468451245,ok
-75233,1.0,91,0.042766631467793026,ok
-75182,1.0,138,0.18899521531100472,ok
-253,1.0,27,?,not_applicable
-75157,1.0,87,0.4296875000000001,ok
-75187,1.0,267,0.015539689206215956,ok
-75124,1.0,31,0.45247148288973393,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,130,0.23684210526315774,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.12857836001940803,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.25668449197860965,ok
-75143,1.0,43,0.006413418845584551,ok
-75196,1.0,44,0.014354066985646008,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.607843137254902,ok
-75249,1.0,58,0.020408163265306145,ok
-75113,1.0,335,0.031825795644891186,ok
-75126,1.0,63,0.017897091722595126,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.1615120274914088,ok
-75234,1.0,68,0.02359641985353944,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.09015777610818954,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.12393566698202463,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,84,0.4545454545454546,ok
-75146,1.0,177,0.09265899226269125,ok
-244,1.0,89,?,not_applicable
-75141,1.0,165,0.06294964028776973,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,213,0.021114106019766377,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.06249999999999989,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,108,0.1862905106085334,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,453,0.2838283828382837,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,121,0.06886646534580543,ok
-75099,1.0,125,0.47770700636942665,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.12241191427533604,ok
-233,1.0,136,0.003064351378958219,ok
-75161,1.0,139,0.057576203799145964,ok
-75176,1.0,328,0.014018079392113303,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.5405405405405406,ok
-261,1.0,148,0.38596491228070173,ok
-75114,1.0,154,0.012499999999999956,ok
-75093,1.0,231,0.551433389544688,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,169,0.43380855397148677,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.014132546793966805,ok
-75163,1.0,354,0.06316274781005071,ok
-2350,1.0,191,0.511668230010517,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,424,0.11904761904761907,ok
-75095,1.0,344,0.11111111111111116,ok
-75108,1.0,208,0.0,ok
-75117,1.0,212,0.02444208289054195,ok
-75191,1.0,217,0.13333980142944912,ok
-75226,1.0,219,0.0017972681524083267,ok
-75244,1.0,372,0.5980392156862746,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,320,0.003516998827667206,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,365,0.00021815348656006872,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.3767906126181041,ok
-75153,1.0,263,0.08159531650201235,ok
-75195,1.0,274,0.00018772292096869148,ok
-266,1.0,277,?,not_applicable
-75225,1.0,280,0.569620253164557,ok
-75100,1.0,286,0.7777777777777778,ok
-75132,1.0,296,0.8615541098125012,ok
-75210,1.0,298,0.0,ok
-273,1.0,301,0.051914893617021396,ok
-75133,1.0,413,0.4054054054054055,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,317,0.007423117709437932,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,370,0.017878426698450633,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.1806167400881057,ok
-75103,1.0,380,0.043887147335423204,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.027808676307007896,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,418,0.8969978032706859,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,428,0.08940568475452193,ok
-75156,1.0,430,0.18486171761280923,ok
-75097,1.0,435,0.025833815307499397,ok
-75101,1.0,438,0.2539724190209627,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,451,0.7721443483447659,ok
-75120,1.0,458,0.016227180527383478,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,384,0.46784922394678496,ok
+ova_omentum,1.0,3,0.017400204708290734,ok
+pol,1.0,321,0.014101778050275793,ok
+colleges_usnews,1.0,7,0.24716553287981857,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.06249999999999989,ok
+pc4,1.0,38,0.3885350318471338,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,265,0.11573636076947336,ok
+phishingwebsites,1.0,18,0.02197536826853408,ok
+puma8nh,1.0,20,0.16186915887850462,ok
+magictelescope,1.0,23,0.16824471959213405,ok
+phoneme,1.0,28,0.16061185468451245,ok
+cpu_act,1.0,91,0.042766631467793026,ok
+house_8l,1.0,138,0.18899521531100472,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,87,0.4296875000000001,ok
+twonorm,1.0,267,0.015539689206215956,ok
+bank-marketing,1.0,31,0.45247148288973393,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,130,0.23684210526315774,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.12857836001940803,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.25668449197860965,ok
+analcatdata_supreme,1.0,43,0.006413418845584551,ok
+colleges_aaup,1.0,44,0.014354066985646008,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.607843137254902,ok
+hypothyroid,1.0,58,0.020408163265306145,ok
+sylva_prior,1.0,335,0.031825795644891186,ok
+ova_ovary,1.0,63,0.017897091722595126,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.1615120274914088,ok
+ringnorm,1.0,68,0.02359641985353944,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.09015777610818954,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.12393566698202463,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,0.4545454545454546,ok
+ailerons,1.0,177,0.09265899226269125,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,165,0.06294964028776973,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,213,0.021114106019766377,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.06249999999999989,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,108,0.1862905106085334,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,453,0.2838283828382837,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,121,0.06886646534580543,ok
+kc1,1.0,125,0.47770700636942665,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.12241191427533604,ok
+kr-vs-kp,1.0,136,0.003064351378958219,ok
+fried,1.0,139,0.057576203799145964,ok
+houses,1.0,328,0.014018079392113303,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.5405405405405406,ok
+credit-g,1.0,148,0.38596491228070173,ok
+ova_breast,1.0,154,0.012499999999999956,ok
+jm1,1.0,231,0.551433389544688,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,169,0.43380855397148677,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.014132546793966805,ok
+delta_ailerons,1.0,354,0.06316274781005071,ok
+imdb.drama,1.0,191,0.511668230010517,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,424,0.11904761904761907,ok
+wilt,1.0,344,0.11111111111111116,ok
+musk,1.0,208,0.0,ok
+ova_uterus,1.0,212,0.02444208289054195,ok
+vehicle_sensit,1.0,217,0.13333980142944912,ok
+japanesevowels,1.0,219,0.0017972681524083267,ok
+ipums_la_99-small,1.0,372,0.5980392156862746,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,320,0.003516998827667206,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,365,0.00021815348656006872,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.3767906126181041,ok
+puma32h,1.0,263,0.08159531650201235,ok
+mv,1.0,274,0.00018772292096869148,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,280,0.569620253164557,ok
+pc2,1.0,286,0.7777777777777778,ok
+click_prediction_small,1.0,296,0.8615541098125012,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,301,0.051914893617021396,ok
+mc1,1.0,413,0.4054054054054055,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,317,0.007423117709437932,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,370,0.017878426698450633,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.1806167400881057,ok
+sylva_agnostic,1.0,380,0.043887147335423204,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.027808676307007896,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,418,0.8969978032706859,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,428,0.08940568475452193,ok
+bioresponse,1.0,430,0.18486171761280923,ok
+amazon_employee_access,1.0,435,0.025833815307499397,ok
+higgs,1.0,438,0.2539724190209627,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,451,0.7721443483447659,ok
+ova_endometrium,1.0,458,0.016227180527383478,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
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diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+wall-robot-navigation,1.0,1.7067919449664923,0.4105579868708972,0.25,0.05579868708971553,0.1492903085996621,0.006564551422319475,152.33333333333334,13.76956558227539,2.346758103856697,-1.6145207422400454,4.524616106763882,-5.026071102226095,5.026071102226095,3.1780538303479458,8.204124932574041,0.0,4.0,24.0,0.0,3656.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,3.779214382171631,1.515954251983203,0.004355928860604763,1.0657977665170062,0.0,0.0,0.0,0.0,0.0
+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/algorithm_runs.arff
index cefe06bb72..a5daa7f5c4 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,308,0.4695652173913044,ok
-75119,1.0,2,0.01836734693877551,ok
-75212,1.0,319,0.2584269662921348,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.06249999999999989,ok
-75092,1.0,31,0.3885350318471338,ok
-75239,1.0,13,0.0,ok
-75215,1.0,287,0.02388419782870932,ok
-75171,1.0,17,0.16186915887850462,ok
-75227,1.0,151,0.16197866149369544,ok
-75233,1.0,83,0.045621394861038334,ok
-75182,1.0,22,0.19539730785931397,ok
-253,1.0,23,?,not_applicable
-75157,1.0,70,0.4296875000000001,ok
-75124,1.0,202,0.5073529411764706,ok
-75222,1.0,27,0.267605633802817,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,259,0.13307240704500978,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.2586666666666667,ok
-75143,1.0,34,0.006419753086419733,ok
-75196,1.0,35,0.014354066985646008,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.607843137254902,ok
-75249,1.0,49,0.020408163265306145,ok
-75113,1.0,50,0.04234527687296408,ok
-75126,1.0,51,0.022271714922049046,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.16530373831775702,ok
-75234,1.0,56,0.030995106035889064,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.09015777610818954,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.13452492944496708,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,186,0.6160000000000001,ok
-244,1.0,71,?,not_applicable
-75141,1.0,131,0.06294964028776973,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.026528776978417268,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.06249999999999989,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.19286801478582305,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.2897696839850028,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,0.06979143636229634,ok
-75099,1.0,98,0.5319148936170213,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.1333333333333333,ok
-233,1.0,107,0.004073319755600768,ok
-75161,1.0,109,0.06113118501585424,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,114,0.5614973262032086,ok
-261,1.0,115,0.38596491228070173,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,120,0.012499999999999956,ok
-75093,1.0,187,0.551433389544688,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,133,0.4384577360355908,ok
-75139,1.0,313,0.01593137254901955,ok
-75146,1.0,140,0.09667558272831489,ok
-75189,1.0,145,0.012421433500568901,ok
-75163,1.0,150,0.06384933394579695,ok
-2350,1.0,152,0.511668230010517,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.12994350282485867,ok
-75095,1.0,163,0.1165644171779141,ok
-75108,1.0,167,0.0,ok
-75117,1.0,170,0.02444208289054195,ok
-75191,1.0,175,0.13333980142944912,ok
-75226,1.0,264,0.0023385500989385744,ok
-75244,1.0,298,0.5980392156862746,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,0.005847953216374324,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.3767906126181041,ok
-75153,1.0,215,0.08159531650201235,ok
-75173,1.0,216,0.11768407803650094,ok
-75187,1.0,218,0.016365925304238305,ok
-75195,1.0,223,0.0005633802816901179,ok
-75225,1.0,266,0.5897435897435896,ok
-75100,1.0,232,0.9166666666666666,ok
-75132,1.0,237,0.8615541098125012,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.055698371893744714,ok
-75133,1.0,332,0.48571428571428577,ok
-75121,1.0,244,0.0010256410256410664,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,254,0.007423117709437932,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,292,0.00021815348656006872,ok
-75125,1.0,293,0.02026221692491048,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,301,0.219298245614035,ok
-75103,1.0,306,0.043887147335423204,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.027808676307007896,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.18627450980392168,ok
-75105,1.0,336,0.8969978032706859,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,343,0.09187697160883279,ok
-75156,1.0,345,0.18486171761280923,ok
-75097,1.0,350,0.025833815307499397,ok
-75101,1.0,352,0.26037383722625607,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,358,0.7728826433725788,ok
-75120,1.0,367,0.018218623481781382,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,308,0.4695652173913044,ok
+ova_omentum,1.0,2,0.01836734693877551,ok
+colleges_usnews,1.0,319,0.2584269662921348,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.06249999999999989,ok
+pc4,1.0,31,0.3885350318471338,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,287,0.02388419782870932,ok
+puma8nh,1.0,17,0.16186915887850462,ok
+phoneme,1.0,151,0.16197866149369544,ok
+cpu_act,1.0,83,0.045621394861038334,ok
+house_8l,1.0,22,0.19539730785931397,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,70,0.4296875000000001,ok
+bank-marketing,1.0,202,0.5073529411764706,ok
+analcatdata_halloffame,1.0,27,0.267605633802817,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,259,0.13307240704500978,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.2586666666666667,ok
+analcatdata_supreme,1.0,34,0.006419753086419733,ok
+colleges_aaup,1.0,35,0.014354066985646008,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.607843137254902,ok
+hypothyroid,1.0,49,0.020408163265306145,ok
+sylva_prior,1.0,50,0.04234527687296408,ok
+ova_ovary,1.0,51,0.022271714922049046,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.16530373831775702,ok
+ringnorm,1.0,56,0.030995106035889064,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.09015777610818954,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.13452492944496708,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,186,0.6160000000000001,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,131,0.06294964028776973,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.026528776978417268,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.06249999999999989,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.19286801478582305,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.2897696839850028,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,0.06979143636229634,ok
+kc1,1.0,98,0.5319148936170213,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.1333333333333333,ok
+kr-vs-kp,1.0,107,0.004073319755600768,ok
+fried,1.0,109,0.06113118501585424,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,0.5614973262032086,ok
+credit-g,1.0,115,0.38596491228070173,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,120,0.012499999999999956,ok
+jm1,1.0,187,0.551433389544688,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,133,0.4384577360355908,ok
+pol,1.0,313,0.01593137254901955,ok
+ailerons,1.0,140,0.09667558272831489,ok
+codrna,1.0,145,0.012421433500568901,ok
+delta_ailerons,1.0,150,0.06384933394579695,ok
+imdb.drama,1.0,152,0.511668230010517,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.12994350282485867,ok
+wilt,1.0,163,0.1165644171779141,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,170,0.02444208289054195,ok
+vehicle_sensit,1.0,175,0.13333980142944912,ok
+japanesevowels,1.0,264,0.0023385500989385744,ok
+ipums_la_99-small,1.0,298,0.5980392156862746,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,0.005847953216374324,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.3767906126181041,ok
+puma32h,1.0,215,0.08159531650201235,ok
+delta_elevators,1.0,216,0.11768407803650094,ok
+twonorm,1.0,218,0.016365925304238305,ok
+mv,1.0,223,0.0005633802816901179,ok
+ozone-level-8hr,1.0,266,0.5897435897435896,ok
+pc2,1.0,232,0.9166666666666666,ok
+click_prediction_small,1.0,237,0.8615541098125012,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.055698371893744714,ok
+mc1,1.0,332,0.48571428571428577,ok
+ova_prostate,1.0,244,0.0010256410256410664,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,254,0.007423117709437932,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,292,0.00021815348656006872,ok
+ova_colon,1.0,293,0.02026221692491048,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,301,0.219298245614035,ok
+sylva_agnostic,1.0,306,0.043887147335423204,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.027808676307007896,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.18627450980392168,ok
+kddcup09_appetency,1.0,336,0.8969978032706859,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,343,0.09187697160883279,ok
+bioresponse,1.0,345,0.18486171761280923,ok
+amazon_employee_access,1.0,350,0.025833815307499397,ok
+higgs,1.0,352,0.26037383722625607,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,0.7728826433725788,ok
+ova_endometrium,1.0,367,0.018218623481781382,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
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-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
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-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
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-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
-75092,1.0,1e-05,1e-05,7e-05,1e-05,1e-05,0.00086,0.00067,1e-05,0.00015,1e-05,7e-05,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00016,2e-05,1e-05,4e-05,9e-05,0.0005,0.0,0.0,0.00014,0.00028,7e-05,0.00057,9e-05,0.0001,0.00012,0.00026,0.00045,7e-05,9e-05,0.0001,0.0002,0.00058
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-75096,1.0,1e-05,1e-05,0.02128,2e-05,1e-05,0.38077,0.34553,1e-05,0.02603,1e-05,0.00924,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,3e-05,2e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00067,1e-05,1e-05,0.00021,0.00036,9e-05,0.0004,6e-05,6e-05,8e-05,0.00019,0.00046,6e-05,7e-05,9e-05,0.00024,0.44323
-75097,1.0,3e-05,2e-05,0.00078,3e-05,2e-05,0.02319,0.02025,2e-05,0.0024,2e-05,0.00059,1e-05,3e-05,3e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00028,4e-05,1e-05,6e-05,0.00017,0.00051,1e-05,1e-05,0.0001,0.00026,0.00012,0.00051,7e-05,9e-05,0.00014,0.0002,0.00126,0.00021,0.00021,0.00026,0.00058,0.0149
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diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/algorithm_runs.arff
index 4824cf8886..f6f2fdcff3 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
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diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/algorithm_runs.arff
index 70c99dcef1..38c198dc3e 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
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diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_samples_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/algorithm_runs.arff
index 4824cf8886..f6f2fdcff3 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
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diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2120,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2122,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2123,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-233,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/algorithm_runs.arff
index 70c99dcef1..38c198dc3e 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
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diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_samples_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/algorithm_runs.arff
index 456e6c3497..42c18d04a5 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/algorithm_runs.arff
index 40fbaf20fb..68f5c086d5 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+one-hundred-plants-margin,1.0,339,0.17198268593656296,ok
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+higgs,1.0,352,0.2761605137516765,ok
+oh0.wc,1.0,357,0.06989507769511283,ok
+kddcup09_churn,1.0,358,0.10475627134022947,ok
+ova_endometrium,1.0,367,0.04107840251982542,ok
+covertype,1.0,371,0.031828257055479314,ok
diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/algorithm_runs.arff
index 456e6c3497..42c18d04a5 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+kddcup09_appetency,1.0,415,0.026829751904533294,ok
+one-hundred-plants-margin,1.0,422,0.17198268593656296,ok
+adult,1.0,428,0.14480433252641767,ok
+bioresponse,1.0,430,0.2058194145940595,ok
+amazon_employee_access,1.0,435,0.05941046029015551,ok
+higgs,1.0,438,0.2694217178296112,ok
+oh0.wc,1.0,447,0.06989507769511283,ok
+kddcup09_churn,1.0,450,0.10308213346711947,ok
+ova_endometrium,1.0,458,0.03523593571294803,ok
+covertype,1.0,462,0.029260418686469558,ok
diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/algorithm_runs.arff
index 40fbaf20fb..68f5c086d5 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/log_loss_binary.classification_dense/algorithm_runs.arff
index fe64ea9424..5142dd995a 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/algorithm_runs.arff
index 8ee7a0088f..65b6be6eb8 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ipums_la_99-small,1.0,180,0.1698648379962953,ok
+semeion,1.0,182,0.45288890713737123,ok
+isolet,1.0,184,0.1719230323906294,ok
+ova_kidney,1.0,219,0.05698908578072929,ok
+kr-vs-k,1.0,190,0.5187462420394127,ok
+gesturephasesegmentationprocessed,1.0,196,0.8898726874121886,ok
+fbis.wc,1.0,199,0.48599877503240774,ok
+mfeat-morphological,1.0,203,0.6372645970075224,ok
+yeast,1.0,206,1.0882521249765267,ok
+airlines,1.0,209,0.6047804039997396,ok
+puma32h,1.0,213,0.21189358664911143,ok
+delta_elevators,1.0,217,0.289213435206589,ok
+twonorm,1.0,218,0.33428870978704933,ok
+mv,1.0,223,0.005820022292931227,ok
+ozone-level-8hr,1.0,226,0.13453258637562168,ok
+pc2,1.0,232,0.035956019446455295,ok
+click_prediction_small,1.0,236,0.17886094170911607,ok
+visualizing_soil,1.0,240,0.0016397771059874114,ok
+spambase,1.0,242,0.149442183162725,ok
+mc1,1.0,243,0.02324872772476658,ok
+ova_prostate,1.0,246,0.007057687511927428,ok
+mnist_784,1.0,250,0.20265156448507043,ok
+ova_lung,1.0,253,0.07594632891419939,ok
+segment,1.0,258,0.11254597001839209,ok
+ldpa,1.0,275,0.012121743632330857,ok
+poker-hand,1.0,278,0.6230676547039427,ok
+la1s.wc,1.0,280,0.3375245306262407,ok
+abalone,1.0,288,0.7329582202336759,ok
+skin-segmentation,1.0,292,0.00204854111235385,ok
+ova_colon,1.0,294,0.13056282334218133,ok
+satimage,1.0,297,0.25682401207558025,ok
+qsar-biodeg,1.0,301,0.33596473658757137,ok
+sylva_agnostic,1.0,304,0.02154423466144975,ok
+mfeat-factors,1.0,307,1.4700604527285606,ok
+one-hundred-plants-shape,1.0,312,1.6068852856952809,ok
+kdd_ipums_la_97-small,1.0,321,0.07683780092220441,ok
+new3s.wc,1.0,325,0.48113092616343583,ok
+la2s.wc,1.0,328,0.29922374327441476,ok
+magictelescope,1.0,331,0.2904056956078845,ok
+kddcup09_appetency,1.0,335,0.07596462493287981,ok
+one-hundred-plants-margin,1.0,338,1.2642740456274513,ok
+adult,1.0,343,0.31408801498448036,ok
+bioresponse,1.0,348,0.4533531614662549,ok
+amazon_employee_access,1.0,350,0.16187200403573881,ok
+higgs,1.0,352,0.5433579889016283,ok
+oh0.wc,1.0,353,0.4378795991757546,ok
+kddcup09_churn,1.0,358,0.2349130359607551,ok
+ova_endometrium,1.0,366,0.10896490694859388,ok
+covertype,1.0,370,0.11575663525662437,ok
diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/algorithm_runs.arff
index fe64ea9424..5142dd995a 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75177,1.0,13,0.022467992158029814,ok
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/algorithm_runs.arff
index 8ee7a0088f..65b6be6eb8 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/algorithm_runs.arff
index 199f9f16df..af0442c0f3 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-4796,1.0,4,0.017711646779449773,ok
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-4885,1.0,13,0.8031216499879719,ok
-5024,1.0,17,1.241780891418457,ok
-2306,1.0,15,0.8036749765619466,ok
-4892,1.0,68,1.516751414705522,ok
-4883,1.0,19,1.784363389136724,ok
-2307,1.0,22,0.0014171205169285636,ok
-2280,1.0,24,0.05560903103976715,ok
-2309,1.0,51,14669.766598991471,ok
-2289,1.0,28,0.0010224742993153243,ok
-4835,1.0,34,0.06719880450481004,ok
-2315,1.0,48,1.784363389136724,ok
-4768,1.0,36,0.36040564903846156,ok
-4779,1.0,73,0.08415616348050953,ok
-2313,1.0,41,2.440652603513374,ok
-5022,1.0,46,0.41247411251068117,ok
-4881,1.0,54,0.051805536874307355,ok
-2288,1.0,55,1.4815000508957339,ok
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-2300,1.0,63,0.13348615497624108,ok
-4774,1.0,66,0.01311387398589959,ok
-4772,1.0,70,0.005163958254010828,ok
+pol,1.0,1,1.4674609375,ok
+topo_2_1,1.0,4,0.017711646779449773,ok
+house_16h,1.0,5,14573.802165749095,ok
+ailerons,1.0,9,0.00011446393609300933,ok
+fried,1.0,13,0.8031216499879719,ok
+era,1.0,17,1.241780891418457,ok
+2dplanes,1.0,15,0.8036749765619466,ok
+cpu_act,1.0,68,1.516751414705522,ok
+cpu_small,1.0,19,1.784363389136724,ok
+elevators,1.0,22,0.0014171205169285636,ok
+kin8nm,1.0,24,0.05560903103976715,ok
+house_8l,1.0,51,14669.766598991471,ok
+delta_elevators,1.0,28,0.0010224742993153243,ok
+space_ga,1.0,34,0.06719880450481004,ok
+cpu_small,1.0,48,1.784363389136724,ok
+wine_quality,1.0,36,0.36040564903846156,ok
+mtp,1.0,73,0.08415616348050953,ok
+puma8nh,1.0,41,2.440652603513374,ok
+swd,1.0,46,0.41247411251068117,ok
+bank32nh,1.0,54,0.051805536874307355,ok
+cpu_act,1.0,55,1.4815000508957339,ok
+yprop_4_1,1.0,60,0.017418115962342818,ok
+quake,1.0,63,0.13348615497624108,ok
+mv,1.0,66,0.01311387398589959,ok
+puma32h,1.0,70,0.005163958254010828,ok
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_values.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+space_ga,1.0,0.002145922746781116,466.0,0.8862950801849365,0.45250606536865234,-0.651503324508667,0.5315639913043118,-6.144185634125646,6.144185634125646,1.791759469228055,7.935945103353701,0.0,6.0,0.0,2796.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.5836177468299866,0.19801302642251054,-0.7145333290100098,0.45392537178033815,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/algorithm_runs.arff
index 199f9f16df..af0442c0f3 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-2306,1.0,15,0.8036749765619466,ok
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-2309,1.0,51,14669.766598991471,ok
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-4768,1.0,36,0.36040564903846156,ok
-4779,1.0,73,0.08415616348050953,ok
-2313,1.0,41,2.440652603513374,ok
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-4772,1.0,70,0.005163958254010828,ok
+pol,1.0,1,1.4674609375,ok
+topo_2_1,1.0,4,0.017711646779449773,ok
+house_16h,1.0,5,14573.802165749095,ok
+ailerons,1.0,9,0.00011446393609300933,ok
+fried,1.0,13,0.8031216499879719,ok
+era,1.0,17,1.241780891418457,ok
+2dplanes,1.0,15,0.8036749765619466,ok
+cpu_act,1.0,68,1.516751414705522,ok
+cpu_small,1.0,19,1.784363389136724,ok
+elevators,1.0,22,0.0014171205169285636,ok
+kin8nm,1.0,24,0.05560903103976715,ok
+house_8l,1.0,51,14669.766598991471,ok
+delta_elevators,1.0,28,0.0010224742993153243,ok
+space_ga,1.0,34,0.06719880450481004,ok
+cpu_small,1.0,48,1.784363389136724,ok
+wine_quality,1.0,36,0.36040564903846156,ok
+mtp,1.0,73,0.08415616348050953,ok
+puma8nh,1.0,41,2.440652603513374,ok
+swd,1.0,46,0.41247411251068117,ok
+bank32nh,1.0,54,0.051805536874307355,ok
+cpu_act,1.0,55,1.4815000508957339,ok
+yprop_4_1,1.0,60,0.017418115962342818,ok
+quake,1.0,63,0.13348615497624108,ok
+mv,1.0,66,0.01311387398589959,ok
+puma32h,1.0,70,0.005163958254010828,ok
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
+era,1.0,2e-05,2e-05,1e-05,1e-05,0.00067,0.00056,1e-05,0.0001,1e-05,3e-05,0.0,5e-05,2e-05,4e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00044,0.0,0.0,0.00013,0.00023,7e-05,0.00146,0.00027,0.0002,0.00037,0.00062,0.0012,0.00018,0.00025,0.00042,0.00035
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+pol,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+2dplanes,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_8l,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma8nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma32h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+topo_2_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+bank32nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_16h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+swd,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+era,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
-2280,1.0,0.0010851871947911015,921.5,-1.1797564029693604,-1.190689817070961,-1.1985208988189697,0.0060950440303903395,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.008798676542937756,-0.0038526186399394646,-0.0407424159348011,0.015143119053091186,0.0,0.0,0.0,0.0,0.0
-2288,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
-2289,1.0,0.0007005253940455342,1427.5,3.8708541701186707,0.5770136333416925,-0.5455377101898193,1.514098932219528,-7.263679941530166,7.263679941530166,1.791759469228055,9.05543941075822,0.0,6.0,0.0,8565.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.1560402661561966,-0.016865503663818043,-0.2020374983549118,0.12720079030991352,0.0,0.0,0.0,0.0,0.0
-2292,1.0,0.0035555555555555557,281.25,145.91824340820312,35.029844325087716,-0.08190560340881348,37.38114065131407,-5.63924395351863,5.63924395351863,3.871201010907891,9.51044496442652,0.0,48.0,0.0,13500.0,0.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,11.55811595916748,4.7866563223875485,0.312971293926239,2.954179637242707,0.0,0.0,0.0,0.0,0.0
-2300,1.0,0.001530612244897959,653.3333333333334,10.75415325164795,3.037913719813029,-0.8339674472808838,5.456216867674973,-6.482087463556454,6.482087463556454,1.0986122886681098,7.580699752224563,0.0,3.0,0.0,1960.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,3.2692196369171143,0.8182759806513786,-0.8448458909988403,1.7695349982848938,0.0,0.0,0.0,0.0,0.0
-2306,1.0,0.00027254640102477445,3669.1,-1.4945788383483887,-1.551127922614009,-1.9997817278428869,0.1496086559872187,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.008097056299448013,-0.003387603040027898,-0.01477236207574606,0.006694665784955573,0.0,0.0,0.0,0.0,0.0
-2307,1.0,0.0012048999263672268,829.9444444444445,10153.650859034122,904.6605713998932,-0.5558359622955322,2638.8996453562218,-6.721358764146153,6.721358764146153,2.8903717578961645,9.611730522042317,0.0,18.0,0.0,14939.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,98.37425994873047,9.214396099042562,-1.4717762470245361,27.971043843371962,0.0,0.0,0.0,0.0,0.0
-2309,1.0,0.0003901487442087296,2563.125,7058.729542860801,913.3121283634666,-1.0920182685895878,2323.8148049564184,-7.8489824961463235,7.8489824961463235,2.0794415416798357,9.92842403782616,0.0,8.0,0.0,20505.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,72.26182556152344,11.248165891505778,-0.3071194291114807,23.460020867752664,0.0,0.0,0.0,0.0,0.0
-2313,1.0,0.0010851871947911015,921.5,-1.1835296154022217,-1.1945379376411438,-1.2065609693527222,0.006796490696688237,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.021982628852128983,-0.006175302842166275,-0.017840616405010223,0.012486298625528315,0.0,0.0,0.0,0.0,0.0
-2315,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
-4768,1.0,0.0018813066529844364,531.5454545454545,45.99289321899414,7.603062629699707,-0.521766185760498,12.54573782458523,-6.2757887153773,6.2757887153773,2.3978952727983707,8.67368398817567,0.0,11.0,0.0,5847.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,5.221370220184326,1.3467533810233527,0.016461437568068504,1.3570825288855142,0.0,0.0,0.0,0.0,0.0
-4769,1.0,0.0032323232323232323,309.375,7655.9724020822,873.8117624958829,-0.6266317367553711,1996.0150908399373,-5.734554133322955,5.734554133322955,3.6888794541139363,9.423433587436891,0.0,40.0,0.0,12375.0,0.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,2.352463722229004,-4.606731435842812,-84.36795043945312,17.29910265091775,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/mean_squared_error_regression_dense/algorithm_runs.arff
index 9673d3cc66..d5a59cfe1c 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-2292,1.0,1,15.169934294737061,ok
-4796,1.0,2,0.0006782491915218355,ok
-4893,1.0,5,856423158.5204082,ok
-4769,1.0,9,2.547575382801283e-08,ok
-4885,1.0,13,1.0210730732818851,ok
-5024,1.0,17,2.406303807092446,ok
-2306,1.0,15,1.014431024788089,ok
-4892,1.0,68,4.316036070016032,ok
-4883,1.0,19,6.012285092815577,ok
-2307,1.0,22,3.906485765076262e-06,ok
-2280,1.0,24,0.005095544072591497,ok
-2309,1.0,51,769962437.0024852,ok
-2289,1.0,30,1.8533950705553102e-06,ok
-4835,1.0,34,0.007874256238417258,ok
-2315,1.0,48,6.012285092815577,ok
-4768,1.0,36,0.32006851783165563,ok
-4779,1.0,38,0.011755023340132769,ok
-2313,1.0,42,10.002603379707416,ok
-5022,1.0,45,0.39662427377879567,ok
-4881,1.0,52,0.006597708234770177,ok
-2288,1.0,57,4.316036070016032,ok
-4790,1.0,59,0.0006473810716890706,ok
-2300,1.0,62,0.03144888193787039,ok
-4774,1.0,66,0.0008119230007468032,ok
-4772,1.0,70,4.1785223301940965e-05,ok
+pol,1.0,1,15.169934294737061,ok
+topo_2_1,1.0,2,0.0006782491915218355,ok
+house_16h,1.0,5,856423158.5204082,ok
+ailerons,1.0,9,2.547575382801283e-08,ok
+fried,1.0,13,1.0210730732818851,ok
+era,1.0,17,2.406303807092446,ok
+2dplanes,1.0,15,1.014431024788089,ok
+cpu_act,1.0,68,4.316036070016032,ok
+cpu_small,1.0,19,6.012285092815577,ok
+elevators,1.0,22,3.906485765076262e-06,ok
+kin8nm,1.0,24,0.005095544072591497,ok
+house_8l,1.0,51,769962437.0024852,ok
+delta_elevators,1.0,30,1.8533950705553102e-06,ok
+space_ga,1.0,34,0.007874256238417258,ok
+cpu_small,1.0,48,6.012285092815577,ok
+wine_quality,1.0,36,0.32006851783165563,ok
+mtp,1.0,38,0.011755023340132769,ok
+puma8nh,1.0,42,10.002603379707416,ok
+swd,1.0,45,0.39662427377879567,ok
+bank32nh,1.0,52,0.006597708234770177,ok
+cpu_act,1.0,57,4.316036070016032,ok
+yprop_4_1,1.0,59,0.0006473810716890706,ok
+quake,1.0,62,0.03144888193787039,ok
+mv,1.0,66,0.0008119230007468032,ok
+puma32h,1.0,70,4.1785223301940965e-05,ok
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+ailerons,1.0,2e-05,1e-05,2e-05,1e-05,0.01789,0.01374,2e-05,0.00222,2e-05,0.00197,1e-05,6e-05,4e-05,0.00011,0.00017,5e-05,1e-05,0.00011,3e-05,0.00141,1e-05,1e-05,0.00058,0.00067,0.00014,0.00066,0.0001,0.00011,0.00013,0.00033,0.00041,6e-05,7e-05,9e-05,0.00019
+puma32h,1.0,2e-05,1e-05,2e-05,1e-05,0.00978,0.00782,2e-05,0.00109,2e-05,0.00092,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,1e-05,6e-05,2e-05,0.00078,1e-05,1e-05,0.00022,0.00043,0.00012,0.00077,0.00014,0.00013,0.00016,0.00034,0.0009,0.00012,0.00016,0.00023,0.00038
+mv,1.0,1e-05,1e-05,2e-05,1e-05,0.02342,0.02131,1e-05,0.00151,2e-05,0.00064,1e-05,2e-05,2e-05,6e-05,6e-05,2e-05,1e-05,4e-05,2e-05,0.00024,1e-05,1e-05,5e-05,0.00013,5e-05,0.00065,0.0001,0.00012,0.00014,0.00029,0.00075,0.00015,0.00012,0.00016,0.00033
+mtp,1.0,1e-05,1e-05,1e-05,1e-05,0.00696,0.00386,2e-05,0.00165,2e-05,0.00149,1e-05,5e-05,3e-05,7e-05,0.0001,3e-05,1e-05,6e-05,2e-05,0.00047,0.0,0.0,0.00012,0.00027,8e-05,0.00055,8e-05,0.00013,0.00013,0.0002,0.00081,0.00013,0.00014,0.00018,0.00035
+yprop_4_1,1.0,1e-05,1e-05,2e-05,1e-05,0.02423,0.0123,3e-05,0.00628,6e-05,0.00575,1e-05,8e-05,6e-05,0.00024,0.00016,7e-05,1e-05,0.0001,2e-05,0.00082,1e-05,1e-05,0.00023,0.00044,0.00014,0.00103,0.00014,0.00017,0.00031,0.00042,0.00099,0.00014,0.00018,0.0002,0.00048
+topo_2_1,1.0,2e-05,1e-05,2e-05,1e-05,0.03581,0.0194,4e-05,0.00921,5e-05,0.00729,1e-05,8e-05,0.0001,0.00013,0.00016,8e-05,2e-05,0.00012,3e-05,0.00083,1e-05,1e-05,0.00023,0.00045,0.00015,0.00103,0.00015,0.00019,0.0003,0.00039,0.0009,0.00016,0.00015,0.00019,0.0004
+space_ga,1.0,2e-05,2e-05,3e-05,2e-05,0.00597,0.00541,3e-05,0.0005,3e-05,0.00014,1e-05,5e-05,5e-05,0.00014,0.00022,7e-05,2e-05,0.0001,3e-05,0.0031,1e-05,1e-05,0.00113,0.00174,0.0002,0.00113,0.00022,0.00019,0.00023,0.00049,0.00086,0.00013,0.00015,0.00026,0.00033
+bank32nh,1.0,2e-05,1e-05,3e-05,1e-05,0.01016,0.00811,2e-05,0.00138,2e-05,0.00073,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,2e-05,6e-05,3e-05,0.00083,1e-05,1e-05,0.00022,0.00043,0.00017,0.00079,0.00011,0.00012,0.00016,0.00039,0.00104,0.00012,0.00013,0.00022,0.00058
+cpu_small,1.0,1e-05,1e-05,3e-05,3e-05,0.00448,0.00395,1e-05,0.0004,1e-05,0.00017,1e-05,2e-05,2e-05,7e-05,8e-05,3e-05,1e-05,4e-05,2e-05,0.00042,0.0,0.0,0.00011,0.00023,7e-05,0.00179,0.00025,0.00035,0.00044,0.00075,0.00072,0.00011,0.00012,0.00016,0.00033
+fried,1.0,2e-05,1e-05,3e-05,1e-05,0.04525,0.04018,2e-05,0.00396,2e-05,0.00116,1e-05,5e-05,7e-05,9e-05,0.00015,6e-05,1e-05,0.00013,7e-05,0.00092,1e-05,1e-05,0.00032,0.00045,0.00014,0.00082,0.00012,0.00013,0.00017,0.0004,0.00076,0.00011,0.00012,0.00016,0.00036
+cpu_act,1.0,1e-05,1e-05,2e-05,1e-05,0.00802,0.00665,2e-05,0.00093,2e-05,0.00048,1e-05,3e-05,3e-05,7e-05,0.0001,6e-05,1e-05,5e-05,2e-05,0.00112,0.0,1e-05,0.00034,0.00066,0.00011,0.00041,8e-05,7e-05,8e-05,0.00018,0.00046,6e-05,7e-05,9e-05,0.00025
+house_16h,1.0,3e-05,2e-05,4e-05,2e-05,0.02994,0.02648,3e-05,0.00238,4e-05,0.00116,1e-05,4e-05,5e-05,8e-05,0.00011,5e-05,2e-05,0.0001,4e-05,0.00089,1e-05,1e-05,0.00026,0.00049,0.00012,0.00077,0.00013,0.00012,0.00016,0.00036,0.00092,0.00019,0.00013,0.00017,0.00042
+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
+era,1.0,2e-05,2e-05,1e-05,1e-05,0.00067,0.00056,1e-05,0.0001,1e-05,3e-05,0.0,5e-05,2e-05,4e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00044,0.0,0.0,0.00013,0.00023,7e-05,0.00146,0.00027,0.0002,0.00037,0.00062,0.0012,0.00018,0.00025,0.00042,0.00035
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+pol,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+2dplanes,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_8l,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma8nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma32h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+topo_2_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+bank32nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_16h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+swd,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+era,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_values.arff b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
-2280,1.0,0.0010851871947911015,921.5,-1.1797564029693604,-1.190689817070961,-1.1985208988189697,0.0060950440303903395,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.008798676542937756,-0.0038526186399394646,-0.0407424159348011,0.015143119053091186,0.0,0.0,0.0,0.0,0.0
-2288,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
-2289,1.0,0.0007005253940455342,1427.5,3.8708541701186707,0.5770136333416925,-0.5455377101898193,1.514098932219528,-7.263679941530166,7.263679941530166,1.791759469228055,9.05543941075822,0.0,6.0,0.0,8565.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.1560402661561966,-0.016865503663818043,-0.2020374983549118,0.12720079030991352,0.0,0.0,0.0,0.0,0.0
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+topo_2_1,1.0,0.03326663331665833,30.06015037593985,7991.003811837606,463.5706836305616,-0.18612432479858398,1325.5833172784367,-3.403200386838592,3.4032003868385914,5.583496308781699,8.98669669562029,0.0,266.0,0.0,7996.0,0.0,0.0,266.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,9.274567123598837,-2.195953845977783,17.747106637392935,0.0,0.0,0.0,0.0,0.0
+space_ga,1.0,0.002145922746781116,466.0,0.8862950801849365,0.45250606536865234,-0.651503324508667,0.5315639913043118,-6.144185634125646,6.144185634125646,1.791759469228055,7.935945103353701,0.0,6.0,0.0,2796.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.5836177468299866,0.19801302642251054,-0.7145333290100098,0.45392537178033815,0.0,0.0,0.0,0.0,0.0
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+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/algorithm_runs.arff
index 9673d3cc66..d5a59cfe1c 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-4796,1.0,2,0.0006782491915218355,ok
-4893,1.0,5,856423158.5204082,ok
-4769,1.0,9,2.547575382801283e-08,ok
-4885,1.0,13,1.0210730732818851,ok
-5024,1.0,17,2.406303807092446,ok
-2306,1.0,15,1.014431024788089,ok
-4892,1.0,68,4.316036070016032,ok
-4883,1.0,19,6.012285092815577,ok
-2307,1.0,22,3.906485765076262e-06,ok
-2280,1.0,24,0.005095544072591497,ok
-2309,1.0,51,769962437.0024852,ok
-2289,1.0,30,1.8533950705553102e-06,ok
-4835,1.0,34,0.007874256238417258,ok
-2315,1.0,48,6.012285092815577,ok
-4768,1.0,36,0.32006851783165563,ok
-4779,1.0,38,0.011755023340132769,ok
-2313,1.0,42,10.002603379707416,ok
-5022,1.0,45,0.39662427377879567,ok
-4881,1.0,52,0.006597708234770177,ok
-2288,1.0,57,4.316036070016032,ok
-4790,1.0,59,0.0006473810716890706,ok
-2300,1.0,62,0.03144888193787039,ok
-4774,1.0,66,0.0008119230007468032,ok
-4772,1.0,70,4.1785223301940965e-05,ok
+pol,1.0,1,15.169934294737061,ok
+topo_2_1,1.0,2,0.0006782491915218355,ok
+house_16h,1.0,5,856423158.5204082,ok
+ailerons,1.0,9,2.547575382801283e-08,ok
+fried,1.0,13,1.0210730732818851,ok
+era,1.0,17,2.406303807092446,ok
+2dplanes,1.0,15,1.014431024788089,ok
+cpu_act,1.0,68,4.316036070016032,ok
+cpu_small,1.0,19,6.012285092815577,ok
+elevators,1.0,22,3.906485765076262e-06,ok
+kin8nm,1.0,24,0.005095544072591497,ok
+house_8l,1.0,51,769962437.0024852,ok
+delta_elevators,1.0,30,1.8533950705553102e-06,ok
+space_ga,1.0,34,0.007874256238417258,ok
+cpu_small,1.0,48,6.012285092815577,ok
+wine_quality,1.0,36,0.32006851783165563,ok
+mtp,1.0,38,0.011755023340132769,ok
+puma8nh,1.0,42,10.002603379707416,ok
+swd,1.0,45,0.39662427377879567,ok
+bank32nh,1.0,52,0.006597708234770177,ok
+cpu_act,1.0,57,4.316036070016032,ok
+yprop_4_1,1.0,59,0.0006473810716890706,ok
+quake,1.0,62,0.03144888193787039,ok
+mv,1.0,66,0.0008119230007468032,ok
+puma32h,1.0,70,4.1785223301940965e-05,ok
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+elevators,1.0,0.0012048999263672268,829.9444444444445,10153.650859034122,904.6605713998932,-0.5558359622955322,2638.8996453562218,-6.721358764146153,6.721358764146153,2.8903717578961645,9.611730522042317,0.0,18.0,0.0,14939.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,98.37425994873047,9.214396099042562,-1.4717762470245361,27.971043843371962,0.0,0.0,0.0,0.0,0.0
+house_8l,1.0,0.0003901487442087296,2563.125,7058.729542860801,913.3121283634666,-1.0920182685895878,2323.8148049564184,-7.8489824961463235,7.8489824961463235,2.0794415416798357,9.92842403782616,0.0,8.0,0.0,20505.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,72.26182556152344,11.248165891505778,-0.3071194291114807,23.460020867752664,0.0,0.0,0.0,0.0,0.0
+puma8nh,1.0,0.0010851871947911015,921.5,-1.1835296154022217,-1.1945379376411438,-1.2065609693527222,0.006796490696688237,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.021982628852128983,-0.006175302842166275,-0.017840616405010223,0.012486298625528315,0.0,0.0,0.0,0.0,0.0
+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
+wine_quality,1.0,0.0018813066529844364,531.5454545454545,45.99289321899414,7.603062629699707,-0.521766185760498,12.54573782458523,-6.2757887153773,6.2757887153773,2.3978952727983707,8.67368398817567,0.0,11.0,0.0,5847.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,5.221370220184326,1.3467533810233527,0.016461437568068504,1.3570825288855142,0.0,0.0,0.0,0.0,0.0
+ailerons,1.0,0.0032323232323232323,309.375,7655.9724020822,873.8117624958829,-0.6266317367553711,1996.0150908399373,-5.734554133322955,5.734554133322955,3.6888794541139363,9.423433587436891,0.0,40.0,0.0,12375.0,0.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,2.352463722229004,-4.606731435842812,-84.36795043945312,17.29910265091775,0.0,0.0,0.0,0.0,0.0
+puma32h,1.0,0.004340748779164406,230.375,-1.1639093160629272,-1.1978388242423534,-1.2279666662216187,0.014321283460086303,-5.439708415989988,5.439708415989988,3.4657359027997265,8.905444318789714,0.0,32.0,0.0,7372.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.02432716079056263,-0.0018090461508109001,-0.03165235370397568,0.012199985987808441,0.0,0.0,0.0,0.0,0.0
+mv,1.0,0.00027254640102477445,3669.1,3.5124981893297544,-0.7548393935294911,-1.8211298967830503,1.2223250961372305,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,3.0,10.0,0.0,36691.0,0.0,0.0,7.0,0.0,0.0,0.0,0.42857142857142855,2.3333333333333335,2.347870990776486,0.253761021503051,-1.1681448233357288,0.8913762857594408,3.0,2.3333333333333335,2.0,0.4714045207910317,7.0
+mtp,1.0,0.050436953807740326,19.826732673267326,2023.5899658203125,78.89800691269137,-0.3645970821380615,269.96031674038045,-2.9870311621012546,2.9870311621012546,5.308267697401205,8.29529885950246,0.0,202.0,0.0,4005.0,0.0,0.0,202.0,0.0,0.0,0.0,0.0,0.0,41.17897415161133,2.253734525578963,-36.846744537353516,7.063697262194517,0.0,0.0,0.0,0.0,0.0
+yprop_4_1,1.0,0.03139069534767384,31.856573705179283,7991.003811837606,642.1047528984591,-0.8172917366027832,1337.1404483968322,-3.4612437564885066,3.461243756488507,5.5254529391317835,8.98669669562029,0.0,251.0,0.0,7996.0,0.0,0.0,251.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,15.124316601668054,-44.16343307495117,19.170129417009754,0.0,0.0,0.0,0.0,0.0
+topo_2_1,1.0,0.03326663331665833,30.06015037593985,7991.003811837606,463.5706836305616,-0.18612432479858398,1325.5833172784367,-3.403200386838592,3.4032003868385914,5.583496308781699,8.98669669562029,0.0,266.0,0.0,7996.0,0.0,0.0,266.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,9.274567123598837,-2.195953845977783,17.747106637392935,0.0,0.0,0.0,0.0,0.0
+space_ga,1.0,0.002145922746781116,466.0,0.8862950801849365,0.45250606536865234,-0.651503324508667,0.5315639913043118,-6.144185634125646,6.144185634125646,1.791759469228055,7.935945103353701,0.0,6.0,0.0,2796.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.5836177468299866,0.19801302642251054,-0.7145333290100098,0.45392537178033815,0.0,0.0,0.0,0.0,0.0
+bank32nh,1.0,0.004340748779164406,230.375,8.398560523986816,0.8951264098286629,-1.3067413568496704,3.2451089643474926,-5.439708415989988,5.439708415989988,3.4657359027997265,8.905444318789714,0.0,32.0,0.0,7372.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,2.1736176013946533,0.617036843628739,-0.022607745602726936,0.8860650474358256,0.0,0.0,0.0,0.0,0.0
+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
+fried,1.0,0.00027254640102477445,3669.1,-1.188598230219335,-1.1964564993963673,-1.2026724815368652,0.003664290259953897,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.018026534467935562,0.0004419666947796941,-0.011050965636968613,0.007399082491716184,0.0,0.0,0.0,0.0,0.0
+cpu_act,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
+house_16h,1.0,0.0007802974884174591,1281.5625,6719.606795643044,437.862979925658,-1.0920182685895878,1622.03517764269,-7.155835315586378,7.155835315586378,2.772588722239781,9.92842403782616,0.0,16.0,0.0,20505.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,70.76852416992188,5.9781048079021275,-5.867455959320068,16.97724081800652,0.0,0.0,0.0,0.0,0.0
+swd,1.0,0.011111111111111112,90.0,-1.0762021359915683,-1.3324955659833357,-1.9520033311864657,0.2528537963602448,-4.499809670330265,4.499809670330265,2.302585092994046,6.802394763324311,0.0,10.0,0.0,900.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.33015167713165283,0.019484431575983764,-0.31836414337158203,0.19549899975606772,0.0,0.0,0.0,0.0,0.0
+era,1.0,0.0044444444444444444,225.0,-0.866234540939331,-1.0928374249016086,-1.3201078176498413,0.16201579691665904,-5.41610040220442,5.41610040220442,1.3862943611198906,6.802394763324311,0.0,4.0,0.0,900.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.28722548484802246,0.05653903912752867,-0.35667797923088074,0.256064936877358,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/algorithm_runs.arff
index a2fefc45f5..65885e43b1 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-2292,1.0,47,0.2503821083688043,ok
-4796,1.0,2,0.00018089013171282441,ok
-4893,1.0,6,0.41601335699608416,ok
-4769,1.0,8,?,not_applicable
-4885,1.0,13,0.006643222641643715,ok
-5024,1.0,17,0.11806590621422001,ok
-2306,1.0,15,?,not_applicable
-4892,1.0,67,0.0014897419437288832,ok
-4883,1.0,40,0.0016677789758697756,ok
-2307,1.0,22,3.7005532258042856e-06,ok
-2280,1.0,24,0.0020620960561170028,ok
-2309,1.0,27,0.42169161203022204,ok
-2289,1.0,28,?,not_applicable
-4835,1.0,32,?,not_applicable
-2315,1.0,35,0.001597049943240552,ok
-4768,1.0,36,0.007346666433819575,ok
-4779,1.0,38,0.005914639997710185,ok
-2313,1.0,41,?,not_applicable
-5022,1.0,45,0.017833754039762714,ok
-4881,1.0,53,0.004807782582693809,ok
-2288,1.0,55,0.002446305766281673,ok
-4790,1.0,59,0.00017269205377503513,ok
-2300,1.0,61,0.0006264188056380751,ok
-4774,1.0,64,?,not_applicable
-4772,1.0,69,?,not_applicable
+pol,1.0,47,0.2503821083688043,ok
+topo_2_1,1.0,2,0.00018089013171282441,ok
+house_16h,1.0,6,0.41601335699608416,ok
+ailerons,1.0,8,?,not_applicable
+fried,1.0,13,0.006643222641643715,ok
+era,1.0,17,0.11806590621422001,ok
+2dplanes,1.0,15,?,not_applicable
+cpu_act,1.0,67,0.0014897419437288832,ok
+cpu_small,1.0,40,0.0016677789758697756,ok
+elevators,1.0,22,3.7005532258042856e-06,ok
+kin8nm,1.0,24,0.0020620960561170028,ok
+house_8l,1.0,27,0.42169161203022204,ok
+delta_elevators,1.0,28,?,not_applicable
+space_ga,1.0,32,?,not_applicable
+cpu_small,1.0,35,0.001597049943240552,ok
+wine_quality,1.0,36,0.007346666433819575,ok
+mtp,1.0,38,0.005914639997710185,ok
+puma8nh,1.0,41,?,not_applicable
+swd,1.0,45,0.017833754039762714,ok
+bank32nh,1.0,53,0.004807782582693809,ok
+cpu_act,1.0,55,0.002446305766281673,ok
+yprop_4_1,1.0,59,0.00017269205377503513,ok
+quake,1.0,61,0.0006264188056380751,ok
+mv,1.0,64,?,not_applicable
+puma32h,1.0,69,?,not_applicable
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
-2280,1.0,2e-05,2e-05,3e-05,2e-05,0.01525,0.01381,3e-05,0.0012,3e-05,0.00031,1e-05,5e-05,5e-05,0.00013,0.00016,6e-05,2e-05,8e-05,3e-05,0.00118,1e-05,1e-05,0.00034,0.00064,0.00018,0.00052,7e-05,8e-05,0.0001,0.00027,0.00052,6e-05,0.0001,0.00012,0.00025
-2288,1.0,2e-05,1e-05,3e-05,2e-05,0.00788,0.00641,3e-05,0.00097,5e-05,0.00058,1e-05,3e-05,3e-05,7e-05,0.0001,4e-05,2e-05,8e-05,5e-05,0.00076,0.0,1e-05,0.0002,0.00041,0.00013,0.00089,0.00015,0.00019,0.00018,0.00037,0.00205,0.00025,0.0004,0.00035,0.00105
-2289,1.0,2e-05,1e-05,3e-05,2e-05,0.01106,0.01019,2e-05,0.00074,4e-05,0.0002,1e-05,4e-05,6e-05,8e-05,0.00011,5e-05,2e-05,9e-05,5e-05,0.00094,1e-05,1e-05,0.00031,0.00044,0.00017,0.00093,0.00012,0.00021,0.00016,0.00044,0.00091,0.00015,0.00014,0.00022,0.00039
-2292,1.0,2e-05,1e-05,2e-05,1e-05,0.01294,0.00992,1e-05,0.00179,2e-05,0.00127,1e-05,4e-05,2e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00064,0.0,0.0,0.00014,0.00035,0.00014,0.00045,6e-05,7e-05,8e-05,0.00024,0.00046,6e-05,7e-05,0.0001,0.00022
-2300,1.0,1e-05,1e-05,1e-05,1e-05,0.00147,0.00133,1e-05,0.00013,1e-05,4e-05,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,2e-05,0.00049,0.0,0.0,0.00013,0.00026,9e-05,0.00129,0.00017,0.00018,0.00031,0.00062,0.00075,0.00014,0.00012,0.00017,0.00033
-2306,1.0,1e-05,1e-05,2e-05,1e-05,0.02421,0.02168,1e-05,0.00183,2e-05,0.00074,1e-05,2e-05,2e-05,8e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.0005,0.0,0.0,0.00013,0.00028,8e-05,0.00074,0.0001,0.00012,0.00016,0.00037,0.00064,9e-05,0.00011,0.00014,0.00029
-2307,1.0,3e-05,3e-05,5e-05,4e-05,0.02139,0.01866,3e-05,0.00192,4e-05,0.0009,1e-05,8e-05,3e-05,8e-05,0.00014,5e-05,2e-05,7e-05,3e-05,0.00101,1e-05,1e-05,0.00029,0.00054,0.00016,0.00092,0.00013,0.00012,0.00018,0.00048,0.00084,0.00011,0.00016,0.00017,0.0004
-2309,1.0,2e-05,1e-05,3e-05,2e-05,0.02516,0.02312,2e-05,0.00161,2e-05,0.00048,1e-05,3e-05,3e-05,9e-05,0.00015,6e-05,1e-05,9e-05,4e-05,0.00086,1e-05,1e-05,0.00028,0.00043,0.00012,0.00099,0.00021,0.00021,0.00019,0.00038,0.00139,0.00018,0.00029,0.00031,0.00062
-2313,1.0,3e-05,1e-05,1e-05,1e-05,0.00476,0.00419,1e-05,0.00043,1e-05,0.00016,0.0,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,2e-05,0.00056,0.0,0.0,0.00019,0.00027,9e-05,0.00083,0.00011,0.00015,0.00016,0.0004,0.00103,0.00016,0.00016,0.00025,0.00047
-2315,1.0,1e-05,1e-05,2e-05,1e-05,0.00814,0.00711,2e-05,0.00073,2e-05,0.00035,1e-05,3e-05,3e-05,0.0001,0.00013,4e-05,1e-05,6e-05,3e-05,0.00078,1e-05,1e-05,0.00022,0.00043,0.00012,0.00076,0.00011,0.00012,0.00016,0.00037,0.00098,0.00011,0.00013,0.00018,0.00055
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diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_values.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+quake,1.0,0.001530612244897959,653.3333333333334,10.75415325164795,3.037913719813029,-0.8339674472808838,5.456216867674973,-6.482087463556454,6.482087463556454,1.0986122886681098,7.580699752224563,0.0,3.0,0.0,1960.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,3.2692196369171143,0.8182759806513786,-0.8448458909988403,1.7695349982848938,0.0,0.0,0.0,0.0,0.0
+2dplanes,1.0,0.00027254640102477445,3669.1,-1.4945788383483887,-1.551127922614009,-1.9997817278428869,0.1496086559872187,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.008097056299448013,-0.003387603040027898,-0.01477236207574606,0.006694665784955573,0.0,0.0,0.0,0.0,0.0
+elevators,1.0,0.0012048999263672268,829.9444444444445,10153.650859034122,904.6605713998932,-0.5558359622955322,2638.8996453562218,-6.721358764146153,6.721358764146153,2.8903717578961645,9.611730522042317,0.0,18.0,0.0,14939.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,98.37425994873047,9.214396099042562,-1.4717762470245361,27.971043843371962,0.0,0.0,0.0,0.0,0.0
+house_8l,1.0,0.0003901487442087296,2563.125,7058.729542860801,913.3121283634666,-1.0920182685895878,2323.8148049564184,-7.8489824961463235,7.8489824961463235,2.0794415416798357,9.92842403782616,0.0,8.0,0.0,20505.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,72.26182556152344,11.248165891505778,-0.3071194291114807,23.460020867752664,0.0,0.0,0.0,0.0,0.0
+puma8nh,1.0,0.0010851871947911015,921.5,-1.1835296154022217,-1.1945379376411438,-1.2065609693527222,0.006796490696688237,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.021982628852128983,-0.006175302842166275,-0.017840616405010223,0.012486298625528315,0.0,0.0,0.0,0.0,0.0
+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
+wine_quality,1.0,0.0018813066529844364,531.5454545454545,45.99289321899414,7.603062629699707,-0.521766185760498,12.54573782458523,-6.2757887153773,6.2757887153773,2.3978952727983707,8.67368398817567,0.0,11.0,0.0,5847.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,5.221370220184326,1.3467533810233527,0.016461437568068504,1.3570825288855142,0.0,0.0,0.0,0.0,0.0
+ailerons,1.0,0.0032323232323232323,309.375,7655.9724020822,873.8117624958829,-0.6266317367553711,1996.0150908399373,-5.734554133322955,5.734554133322955,3.6888794541139363,9.423433587436891,0.0,40.0,0.0,12375.0,0.0,0.0,40.0,0.0,0.0,0.0,0.0,0.0,2.352463722229004,-4.606731435842812,-84.36795043945312,17.29910265091775,0.0,0.0,0.0,0.0,0.0
+puma32h,1.0,0.004340748779164406,230.375,-1.1639093160629272,-1.1978388242423534,-1.2279666662216187,0.014321283460086303,-5.439708415989988,5.439708415989988,3.4657359027997265,8.905444318789714,0.0,32.0,0.0,7372.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.02432716079056263,-0.0018090461508109001,-0.03165235370397568,0.012199985987808441,0.0,0.0,0.0,0.0,0.0
+mv,1.0,0.00027254640102477445,3669.1,3.5124981893297544,-0.7548393935294911,-1.8211298967830503,1.2223250961372305,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,3.0,10.0,0.0,36691.0,0.0,0.0,7.0,0.0,0.0,0.0,0.42857142857142855,2.3333333333333335,2.347870990776486,0.253761021503051,-1.1681448233357288,0.8913762857594408,3.0,2.3333333333333335,2.0,0.4714045207910317,7.0
+mtp,1.0,0.050436953807740326,19.826732673267326,2023.5899658203125,78.89800691269137,-0.3645970821380615,269.96031674038045,-2.9870311621012546,2.9870311621012546,5.308267697401205,8.29529885950246,0.0,202.0,0.0,4005.0,0.0,0.0,202.0,0.0,0.0,0.0,0.0,0.0,41.17897415161133,2.253734525578963,-36.846744537353516,7.063697262194517,0.0,0.0,0.0,0.0,0.0
+yprop_4_1,1.0,0.03139069534767384,31.856573705179283,7991.003811837606,642.1047528984591,-0.8172917366027832,1337.1404483968322,-3.4612437564885066,3.461243756488507,5.5254529391317835,8.98669669562029,0.0,251.0,0.0,7996.0,0.0,0.0,251.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,15.124316601668054,-44.16343307495117,19.170129417009754,0.0,0.0,0.0,0.0,0.0
+topo_2_1,1.0,0.03326663331665833,30.06015037593985,7991.003811837606,463.5706836305616,-0.18612432479858398,1325.5833172784367,-3.403200386838592,3.4032003868385914,5.583496308781699,8.98669669562029,0.0,266.0,0.0,7996.0,0.0,0.0,266.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,9.274567123598837,-2.195953845977783,17.747106637392935,0.0,0.0,0.0,0.0,0.0
+space_ga,1.0,0.002145922746781116,466.0,0.8862950801849365,0.45250606536865234,-0.651503324508667,0.5315639913043118,-6.144185634125646,6.144185634125646,1.791759469228055,7.935945103353701,0.0,6.0,0.0,2796.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.5836177468299866,0.19801302642251054,-0.7145333290100098,0.45392537178033815,0.0,0.0,0.0,0.0,0.0
+bank32nh,1.0,0.004340748779164406,230.375,8.398560523986816,0.8951264098286629,-1.3067413568496704,3.2451089643474926,-5.439708415989988,5.439708415989988,3.4657359027997265,8.905444318789714,0.0,32.0,0.0,7372.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,2.1736176013946533,0.617036843628739,-0.022607745602726936,0.8860650474358256,0.0,0.0,0.0,0.0,0.0
+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
+fried,1.0,0.00027254640102477445,3669.1,-1.188598230219335,-1.1964564993963673,-1.2026724815368652,0.003664290259953897,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.018026534467935562,0.0004419666947796941,-0.011050965636968613,0.007399082491716184,0.0,0.0,0.0,0.0,0.0
+cpu_act,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
+house_16h,1.0,0.0007802974884174591,1281.5625,6719.606795643044,437.862979925658,-1.0920182685895878,1622.03517764269,-7.155835315586378,7.155835315586378,2.772588722239781,9.92842403782616,0.0,16.0,0.0,20505.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,70.76852416992188,5.9781048079021275,-5.867455959320068,16.97724081800652,0.0,0.0,0.0,0.0,0.0
+swd,1.0,0.011111111111111112,90.0,-1.0762021359915683,-1.3324955659833357,-1.9520033311864657,0.2528537963602448,-4.499809670330265,4.499809670330265,2.302585092994046,6.802394763324311,0.0,10.0,0.0,900.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.33015167713165283,0.019484431575983764,-0.31836414337158203,0.19549899975606772,0.0,0.0,0.0,0.0,0.0
+era,1.0,0.0044444444444444444,225.0,-0.866234540939331,-1.0928374249016086,-1.3201078176498413,0.16201579691665904,-5.41610040220442,5.41610040220442,1.3862943611198906,6.802394763324311,0.0,4.0,0.0,900.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.28722548484802246,0.05653903912752867,-0.35667797923088074,0.256064936877358,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/algorithm_runs.arff
index a2fefc45f5..65885e43b1 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-2292,1.0,47,0.2503821083688043,ok
-4796,1.0,2,0.00018089013171282441,ok
-4893,1.0,6,0.41601335699608416,ok
-4769,1.0,8,?,not_applicable
-4885,1.0,13,0.006643222641643715,ok
-5024,1.0,17,0.11806590621422001,ok
-2306,1.0,15,?,not_applicable
-4892,1.0,67,0.0014897419437288832,ok
-4883,1.0,40,0.0016677789758697756,ok
-2307,1.0,22,3.7005532258042856e-06,ok
-2280,1.0,24,0.0020620960561170028,ok
-2309,1.0,27,0.42169161203022204,ok
-2289,1.0,28,?,not_applicable
-4835,1.0,32,?,not_applicable
-2315,1.0,35,0.001597049943240552,ok
-4768,1.0,36,0.007346666433819575,ok
-4779,1.0,38,0.005914639997710185,ok
-2313,1.0,41,?,not_applicable
-5022,1.0,45,0.017833754039762714,ok
-4881,1.0,53,0.004807782582693809,ok
-2288,1.0,55,0.002446305766281673,ok
-4790,1.0,59,0.00017269205377503513,ok
-2300,1.0,61,0.0006264188056380751,ok
-4774,1.0,64,?,not_applicable
-4772,1.0,69,?,not_applicable
+pol,1.0,47,0.2503821083688043,ok
+topo_2_1,1.0,2,0.00018089013171282441,ok
+house_16h,1.0,6,0.41601335699608416,ok
+ailerons,1.0,8,?,not_applicable
+fried,1.0,13,0.006643222641643715,ok
+era,1.0,17,0.11806590621422001,ok
+2dplanes,1.0,15,?,not_applicable
+cpu_act,1.0,67,0.0014897419437288832,ok
+cpu_small,1.0,40,0.0016677789758697756,ok
+elevators,1.0,22,3.7005532258042856e-06,ok
+kin8nm,1.0,24,0.0020620960561170028,ok
+house_8l,1.0,27,0.42169161203022204,ok
+delta_elevators,1.0,28,?,not_applicable
+space_ga,1.0,32,?,not_applicable
+cpu_small,1.0,35,0.001597049943240552,ok
+wine_quality,1.0,36,0.007346666433819575,ok
+mtp,1.0,38,0.005914639997710185,ok
+puma8nh,1.0,41,?,not_applicable
+swd,1.0,45,0.017833754039762714,ok
+bank32nh,1.0,53,0.004807782582693809,ok
+cpu_act,1.0,55,0.002446305766281673,ok
+yprop_4_1,1.0,59,0.00017269205377503513,ok
+quake,1.0,61,0.0006264188056380751,ok
+mv,1.0,64,?,not_applicable
+puma32h,1.0,69,?,not_applicable
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+cpu_small,1.0,1e-05,1e-05,3e-05,3e-05,0.00448,0.00395,1e-05,0.0004,1e-05,0.00017,1e-05,2e-05,2e-05,7e-05,8e-05,3e-05,1e-05,4e-05,2e-05,0.00042,0.0,0.0,0.00011,0.00023,7e-05,0.00179,0.00025,0.00035,0.00044,0.00075,0.00072,0.00011,0.00012,0.00016,0.00033
+fried,1.0,2e-05,1e-05,3e-05,1e-05,0.04525,0.04018,2e-05,0.00396,2e-05,0.00116,1e-05,5e-05,7e-05,9e-05,0.00015,6e-05,1e-05,0.00013,7e-05,0.00092,1e-05,1e-05,0.00032,0.00045,0.00014,0.00082,0.00012,0.00013,0.00017,0.0004,0.00076,0.00011,0.00012,0.00016,0.00036
+cpu_act,1.0,1e-05,1e-05,2e-05,1e-05,0.00802,0.00665,2e-05,0.00093,2e-05,0.00048,1e-05,3e-05,3e-05,7e-05,0.0001,6e-05,1e-05,5e-05,2e-05,0.00112,0.0,1e-05,0.00034,0.00066,0.00011,0.00041,8e-05,7e-05,8e-05,0.00018,0.00046,6e-05,7e-05,9e-05,0.00025
+house_16h,1.0,3e-05,2e-05,4e-05,2e-05,0.02994,0.02648,3e-05,0.00238,4e-05,0.00116,1e-05,4e-05,5e-05,8e-05,0.00011,5e-05,2e-05,0.0001,4e-05,0.00089,1e-05,1e-05,0.00026,0.00049,0.00012,0.00077,0.00013,0.00012,0.00016,0.00036,0.00092,0.00019,0.00013,0.00017,0.00042
+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
+era,1.0,2e-05,2e-05,1e-05,1e-05,0.00067,0.00056,1e-05,0.0001,1e-05,3e-05,0.0,5e-05,2e-05,4e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00044,0.0,0.0,0.00013,0.00023,7e-05,0.00146,0.00027,0.0002,0.00037,0.00062,0.0012,0.00018,0.00025,0.00042,0.00035
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+pol,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+2dplanes,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_8l,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma8nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma32h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+topo_2_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+bank32nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_16h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+swd,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+era,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
-2280,1.0,0.0010851871947911015,921.5,-1.1797564029693604,-1.190689817070961,-1.1985208988189697,0.0060950440303903395,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.008798676542937756,-0.0038526186399394646,-0.0407424159348011,0.015143119053091186,0.0,0.0,0.0,0.0,0.0
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-2289,1.0,0.0007005253940455342,1427.5,3.8708541701186707,0.5770136333416925,-0.5455377101898193,1.514098932219528,-7.263679941530166,7.263679941530166,1.791759469228055,9.05543941075822,0.0,6.0,0.0,8565.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.1560402661561966,-0.016865503663818043,-0.2020374983549118,0.12720079030991352,0.0,0.0,0.0,0.0,0.0
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+house_16h,1.0,0.0007802974884174591,1281.5625,6719.606795643044,437.862979925658,-1.0920182685895878,1622.03517764269,-7.155835315586378,7.155835315586378,2.772588722239781,9.92842403782616,0.0,16.0,0.0,20505.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,70.76852416992188,5.9781048079021275,-5.867455959320068,16.97724081800652,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/median_absolute_error_regression_dense/algorithm_runs.arff
index 0e24b64a9a..41ccba7cfd 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-4768,1.0,36,0.2001953125,ok
-4779,1.0,73,0.06419548392295837,ok
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+pol,1.0,1,0.0,ok
+topo_2_1,1.0,4,0.009942173957824707,ok
+house_16h,1.0,6,6904.185546875,ok
+ailerons,1.0,8,8.242187323048711e-05,ok
+fried,1.0,13,0.6676654815673828,ok
+era,1.0,58,1.0,ok
+2dplanes,1.0,26,0.6618285179138184,ok
+cpu_act,1.0,68,1.1346664428710938,ok
+cpu_small,1.0,19,1.2613182067871094,ok
+elevators,1.0,22,0.001073353923857212,ok
+kin8nm,1.0,24,0.045413047075271606,ok
+house_8l,1.0,27,7448.013671875,ok
+delta_elevators,1.0,29,0.0007327175117097795,ok
+space_ga,1.0,34,0.04955166578292847,ok
+cpu_small,1.0,48,1.2613182067871094,ok
+wine_quality,1.0,36,0.2001953125,ok
+mtp,1.0,73,0.06419548392295837,ok
+puma8nh,1.0,42,1.8307018280029297,ok
+swd,1.0,46,0.0009090900421142578,ok
+bank32nh,1.0,54,0.023341018706560135,ok
+cpu_act,1.0,55,1.07257080078125,ok
+yprop_4_1,1.0,60,0.010585665702819824,ok
+quake,1.0,63,0.09999990463256836,ok
+mv,1.0,66,0.005500316619873047,ok
+puma32h,1.0,70,0.004196920432150364,ok
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+2dplanes,1.0,1e-05,1e-05,2e-05,1e-05,0.02421,0.02168,1e-05,0.00183,2e-05,0.00074,1e-05,2e-05,2e-05,8e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.0005,0.0,0.0,0.00013,0.00028,8e-05,0.00074,0.0001,0.00012,0.00016,0.00037,0.00064,9e-05,0.00011,0.00014,0.00029
+elevators,1.0,3e-05,3e-05,5e-05,4e-05,0.02139,0.01866,3e-05,0.00192,4e-05,0.0009,1e-05,8e-05,3e-05,8e-05,0.00014,5e-05,2e-05,7e-05,3e-05,0.00101,1e-05,1e-05,0.00029,0.00054,0.00016,0.00092,0.00013,0.00012,0.00018,0.00048,0.00084,0.00011,0.00016,0.00017,0.0004
+house_8l,1.0,2e-05,1e-05,3e-05,2e-05,0.02516,0.02312,2e-05,0.00161,2e-05,0.00048,1e-05,3e-05,3e-05,9e-05,0.00015,6e-05,1e-05,9e-05,4e-05,0.00086,1e-05,1e-05,0.00028,0.00043,0.00012,0.00099,0.00021,0.00021,0.00019,0.00038,0.00139,0.00018,0.00029,0.00031,0.00062
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+cpu_small,1.0,1e-05,1e-05,2e-05,1e-05,0.00814,0.00711,2e-05,0.00073,2e-05,0.00035,1e-05,3e-05,3e-05,0.0001,0.00013,4e-05,1e-05,6e-05,3e-05,0.00078,1e-05,1e-05,0.00022,0.00043,0.00012,0.00076,0.00011,0.00012,0.00016,0.00037,0.00098,0.00011,0.00013,0.00018,0.00055
+wine_quality,1.0,3e-05,1e-05,6e-05,4e-05,0.00863,0.00731,3e-05,0.00103,5e-05,0.00039,2e-05,9e-05,9e-05,0.00019,0.00024,9e-05,5e-05,0.00011,5e-05,0.00115,1e-05,1e-05,0.00036,0.00064,0.00013,0.00101,0.00027,0.00018,0.00017,0.0004,0.00071,0.00011,0.00012,0.00016,0.00032
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+puma32h,1.0,2e-05,1e-05,2e-05,1e-05,0.00978,0.00782,2e-05,0.00109,2e-05,0.00092,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,1e-05,6e-05,2e-05,0.00078,1e-05,1e-05,0.00022,0.00043,0.00012,0.00077,0.00014,0.00013,0.00016,0.00034,0.0009,0.00012,0.00016,0.00023,0.00038
+mv,1.0,1e-05,1e-05,2e-05,1e-05,0.02342,0.02131,1e-05,0.00151,2e-05,0.00064,1e-05,2e-05,2e-05,6e-05,6e-05,2e-05,1e-05,4e-05,2e-05,0.00024,1e-05,1e-05,5e-05,0.00013,5e-05,0.00065,0.0001,0.00012,0.00014,0.00029,0.00075,0.00015,0.00012,0.00016,0.00033
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+yprop_4_1,1.0,1e-05,1e-05,2e-05,1e-05,0.02423,0.0123,3e-05,0.00628,6e-05,0.00575,1e-05,8e-05,6e-05,0.00024,0.00016,7e-05,1e-05,0.0001,2e-05,0.00082,1e-05,1e-05,0.00023,0.00044,0.00014,0.00103,0.00014,0.00017,0.00031,0.00042,0.00099,0.00014,0.00018,0.0002,0.00048
+topo_2_1,1.0,2e-05,1e-05,2e-05,1e-05,0.03581,0.0194,4e-05,0.00921,5e-05,0.00729,1e-05,8e-05,0.0001,0.00013,0.00016,8e-05,2e-05,0.00012,3e-05,0.00083,1e-05,1e-05,0.00023,0.00045,0.00015,0.00103,0.00015,0.00019,0.0003,0.00039,0.0009,0.00016,0.00015,0.00019,0.0004
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+bank32nh,1.0,2e-05,1e-05,3e-05,1e-05,0.01016,0.00811,2e-05,0.00138,2e-05,0.00073,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,2e-05,6e-05,3e-05,0.00083,1e-05,1e-05,0.00022,0.00043,0.00017,0.00079,0.00011,0.00012,0.00016,0.00039,0.00104,0.00012,0.00013,0.00022,0.00058
+cpu_small,1.0,1e-05,1e-05,3e-05,3e-05,0.00448,0.00395,1e-05,0.0004,1e-05,0.00017,1e-05,2e-05,2e-05,7e-05,8e-05,3e-05,1e-05,4e-05,2e-05,0.00042,0.0,0.0,0.00011,0.00023,7e-05,0.00179,0.00025,0.00035,0.00044,0.00075,0.00072,0.00011,0.00012,0.00016,0.00033
+fried,1.0,2e-05,1e-05,3e-05,1e-05,0.04525,0.04018,2e-05,0.00396,2e-05,0.00116,1e-05,5e-05,7e-05,9e-05,0.00015,6e-05,1e-05,0.00013,7e-05,0.00092,1e-05,1e-05,0.00032,0.00045,0.00014,0.00082,0.00012,0.00013,0.00017,0.0004,0.00076,0.00011,0.00012,0.00016,0.00036
+cpu_act,1.0,1e-05,1e-05,2e-05,1e-05,0.00802,0.00665,2e-05,0.00093,2e-05,0.00048,1e-05,3e-05,3e-05,7e-05,0.0001,6e-05,1e-05,5e-05,2e-05,0.00112,0.0,1e-05,0.00034,0.00066,0.00011,0.00041,8e-05,7e-05,8e-05,0.00018,0.00046,6e-05,7e-05,9e-05,0.00025
+house_16h,1.0,3e-05,2e-05,4e-05,2e-05,0.02994,0.02648,3e-05,0.00238,4e-05,0.00116,1e-05,4e-05,5e-05,8e-05,0.00011,5e-05,2e-05,0.0001,4e-05,0.00089,1e-05,1e-05,0.00026,0.00049,0.00012,0.00077,0.00013,0.00012,0.00016,0.00036,0.00092,0.00019,0.00013,0.00017,0.00042
+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_values.arff b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/algorithm_runs.arff
index 0e24b64a9a..41ccba7cfd 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-4768,1.0,36,0.2001953125,ok
-4779,1.0,73,0.06419548392295837,ok
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+pol,1.0,1,0.0,ok
+topo_2_1,1.0,4,0.009942173957824707,ok
+house_16h,1.0,6,6904.185546875,ok
+ailerons,1.0,8,8.242187323048711e-05,ok
+fried,1.0,13,0.6676654815673828,ok
+era,1.0,58,1.0,ok
+2dplanes,1.0,26,0.6618285179138184,ok
+cpu_act,1.0,68,1.1346664428710938,ok
+cpu_small,1.0,19,1.2613182067871094,ok
+elevators,1.0,22,0.001073353923857212,ok
+kin8nm,1.0,24,0.045413047075271606,ok
+house_8l,1.0,27,7448.013671875,ok
+delta_elevators,1.0,29,0.0007327175117097795,ok
+space_ga,1.0,34,0.04955166578292847,ok
+cpu_small,1.0,48,1.2613182067871094,ok
+wine_quality,1.0,36,0.2001953125,ok
+mtp,1.0,73,0.06419548392295837,ok
+puma8nh,1.0,42,1.8307018280029297,ok
+swd,1.0,46,0.0009090900421142578,ok
+bank32nh,1.0,54,0.023341018706560135,ok
+cpu_act,1.0,55,1.07257080078125,ok
+yprop_4_1,1.0,60,0.010585665702819824,ok
+quake,1.0,63,0.09999990463256836,ok
+mv,1.0,66,0.005500316619873047,ok
+puma32h,1.0,70,0.004196920432150364,ok
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_binary.classification_dense/algorithm_runs.arff
index 9a2e1a5829..176aba9752 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.41666666666666663,ok
-75119,1.0,4,0.0022883295194507935,ok
-75139,1.0,321,0.01167793484941615,ok
-75212,1.0,7,0.227979274611399,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,425,0.026666666666666616,ok
-75092,1.0,52,0.34883720930232553,ok
-75239,1.0,15,0.0,ok
-75173,1.0,264,0.10553410553410558,ok
-75215,1.0,269,0.02467343976777936,ok
-75171,1.0,20,0.1593323216995448,ok
-75112,1.0,42,0.11276127612761278,ok
-75227,1.0,190,0.15127701375245584,ok
-75233,1.0,128,0.03593145384190155,ok
-75182,1.0,138,0.14901165737455646,ok
-253,1.0,27,?,not_applicable
-75157,1.0,331,0.4285714285714286,ok
-75187,1.0,267,0.011824324324324342,ok
-75124,1.0,31,0.3571428571428571,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,33,0.10344827586206895,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.11234817813765186,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.297752808988764,ok
-75143,1.0,340,0.007960199004975133,ok
-75196,1.0,44,0.028301886792452824,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,55,0.44999999999999996,ok
-75249,1.0,204,0.01041666666666663,ok
-75113,1.0,335,0.02464788732394363,ok
-75126,1.0,62,0.013698630136986356,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.03386960203217615,ok
-75234,1.0,70,0.027687296416938123,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.08320251177394034,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,329,0.1372180451127819,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,84,0.0,ok
-75146,1.0,178,0.0851393188854489,ok
-244,1.0,89,?,not_applicable
-75141,1.0,90,0.051406401551891356,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.013513513513513487,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.013698630136986356,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,108,0.16874400767018216,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,114,0.25528700906344415,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.06557867944303042,ok
-75099,1.0,124,0.0,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.10056497175141244,ok
-233,1.0,136,0.002044989775051076,ok
-75161,1.0,139,0.05600709324663811,ok
-75176,1.0,328,0.013371788148925035,ok
-262,1.0,146,?,not_applicable
-75129,1.0,339,0.0,ok
-261,1.0,179,0.2678571428571429,ok
-75114,1.0,155,0.012626262626262652,ok
-75093,1.0,157,0.3197278911564626,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,169,0.12364425162689807,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.009679150534749104,ok
-75163,1.0,189,0.04433962264150948,ok
-2350,1.0,192,0.381578947368421,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,424,0.09756097560975607,ok
-75095,1.0,284,0.02941176470588236,ok
-75108,1.0,207,0.0,ok
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-75226,1.0,220,0.0010857763300760048,ok
-75244,1.0,372,0.15384615384615385,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,320,0.0023474178403756207,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,4.677268475206109e-05,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.30221535291087065,ok
-75153,1.0,263,0.07380073800738007,ok
-75195,1.0,271,0.0,ok
-266,1.0,277,?,not_applicable
-75225,1.0,297,0.2857142857142857,ok
-75100,1.0,286,0.5,ok
-75132,1.0,293,0.32793522267206476,ok
-75210,1.0,298,0.0,ok
-273,1.0,300,0.045060658578856105,ok
-75133,1.0,413,0.19999999999999996,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.010638297872340385,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.026066350710900466,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.13888888888888884,ok
-75103,1.0,379,0.04870129870129869,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,400,0.050605060506050625,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.0,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.04640735343571345,ok
-75156,1.0,433,0.19444444444444442,ok
-75097,1.0,437,0.021655490821149814,ok
-75101,1.0,439,0.2614270449958447,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.19047619047619047,ok
-75120,1.0,459,0.009009009009009028,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.41666666666666663,ok
+ova_omentum,1.0,4,0.0022883295194507935,ok
+pol,1.0,321,0.01167793484941615,ok
+colleges_usnews,1.0,7,0.227979274611399,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,425,0.026666666666666616,ok
+pc4,1.0,52,0.34883720930232553,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.10553410553410558,ok
+phishingwebsites,1.0,269,0.02467343976777936,ok
+puma8nh,1.0,20,0.1593323216995448,ok
+magictelescope,1.0,42,0.11276127612761278,ok
+phoneme,1.0,190,0.15127701375245584,ok
+cpu_act,1.0,128,0.03593145384190155,ok
+house_8l,1.0,138,0.14901165737455646,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,331,0.4285714285714286,ok
+twonorm,1.0,267,0.011824324324324342,ok
+bank-marketing,1.0,31,0.3571428571428571,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,0.10344827586206895,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.11234817813765186,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.297752808988764,ok
+analcatdata_supreme,1.0,340,0.007960199004975133,ok
+colleges_aaup,1.0,44,0.028301886792452824,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,55,0.44999999999999996,ok
+hypothyroid,1.0,204,0.01041666666666663,ok
+sylva_prior,1.0,335,0.02464788732394363,ok
+ova_ovary,1.0,62,0.013698630136986356,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.03386960203217615,ok
+ringnorm,1.0,70,0.027687296416938123,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.08320251177394034,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,329,0.1372180451127819,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,0.0,ok
+ailerons,1.0,178,0.0851393188854489,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,0.051406401551891356,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.013513513513513487,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.013698630136986356,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,108,0.16874400767018216,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,0.25528700906344415,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.06557867944303042,ok
+kc1,1.0,124,0.0,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.10056497175141244,ok
+kr-vs-kp,1.0,136,0.002044989775051076,ok
+fried,1.0,139,0.05600709324663811,ok
+houses,1.0,328,0.013371788148925035,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,339,0.0,ok
+credit-g,1.0,179,0.2678571428571429,ok
+ova_breast,1.0,155,0.012626262626262652,ok
+jm1,1.0,157,0.3197278911564626,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,169,0.12364425162689807,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.009679150534749104,ok
+delta_ailerons,1.0,189,0.04433962264150948,ok
+imdb.drama,1.0,192,0.381578947368421,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,424,0.09756097560975607,ok
+wilt,1.0,284,0.02941176470588236,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,212,0.027837259100642386,ok
+vehicle_sensit,1.0,217,0.0786632744275596,ok
+japanesevowels,1.0,220,0.0010857763300760048,ok
+ipums_la_99-small,1.0,372,0.15384615384615385,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,320,0.0023474178403756207,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,4.677268475206109e-05,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.30221535291087065,ok
+puma32h,1.0,263,0.07380073800738007,ok
+mv,1.0,271,0.0,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,297,0.2857142857142857,ok
+pc2,1.0,286,0.5,ok
+click_prediction_small,1.0,293,0.32793522267206476,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,300,0.045060658578856105,ok
+mc1,1.0,413,0.19999999999999996,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.010638297872340385,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.026066350710900466,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.13888888888888884,ok
+sylva_agnostic,1.0,379,0.04870129870129869,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,400,0.050605060506050625,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.0,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.04640735343571345,ok
+bioresponse,1.0,433,0.19444444444444442,ok
+amazon_employee_access,1.0,437,0.021655490821149814,ok
+higgs,1.0,439,0.2614270449958447,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.19047619047619047,ok
+ova_endometrium,1.0,459,0.009009009009009028,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
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diff --git a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/precision_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_binary.classification_sparse/algorithm_runs.arff
index bdf3ec4584..df1024b596 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.41666666666666663,ok
-75119,1.0,4,0.004484304932735439,ok
-75212,1.0,5,0.227979274611399,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.0273972602739726,ok
-75092,1.0,12,0.3829787234042553,ok
-75239,1.0,13,0.0,ok
-75215,1.0,287,0.030666027791087735,ok
-75171,1.0,17,0.1593323216995448,ok
-75227,1.0,151,0.15127701375245584,ok
-75233,1.0,101,0.0389467910038398,ok
-75182,1.0,284,0.1542769857433809,ok
-253,1.0,23,?,not_applicable
-75157,1.0,265,0.47933884297520657,ok
-75124,1.0,317,0.4112149532710281,ok
-75222,1.0,27,0.10344827586206895,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,259,0.11928429423459241,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.31188118811881194,ok
-75143,1.0,273,0.007960199004975133,ok
-75196,1.0,35,0.028301886792452824,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,46,0.44999999999999996,ok
-75249,1.0,164,0.01041666666666663,ok
-75113,1.0,269,0.02464788732394363,ok
-75126,1.0,51,0.013698630136986356,ok
-251,1.0,53,?,not_applicable
-75184,1.0,142,0.07741027445460946,ok
-75234,1.0,57,0.027996500437445282,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.08320251177394034,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.15498154981549817,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.0,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.07012750455373407,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.023455119530897628,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.038461538461538436,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,87,0.1806640625,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,0.25528700906344415,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,0.07191176470588234,ok
-75099,1.0,136,0.32499999999999996,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.11283604695191218,ok
-233,1.0,107,0.004081632653061273,ok
-75161,1.0,109,0.05884092253104667,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,324,0.5714285714285714,ok
-261,1.0,141,0.2678571428571429,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,121,0.012626262626262652,ok
-75093,1.0,123,0.3954802259887006,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,134,0.17279999999999995,ok
-75139,1.0,313,0.01411909146715773,ok
-75146,1.0,140,0.0851393188854489,ok
-75189,1.0,148,0.009679150534749104,ok
-75163,1.0,150,0.04609595484477891,ok
-2350,1.0,153,0.381578947368421,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.1460674157303371,ok
-75095,1.0,230,0.02941176470588236,ok
-75108,1.0,167,0.0,ok
-75117,1.0,170,0.027837259100642386,ok
-75191,1.0,175,0.0786632744275596,ok
-75226,1.0,264,0.0028766630708377816,ok
-75244,1.0,180,0.39534883720930236,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,219,0.004705882352941226,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.30221535291087065,ok
-75153,1.0,215,0.07380073800738007,ok
-75173,1.0,217,0.11082802547770698,ok
-75187,1.0,218,0.014297729184188368,ok
-75195,1.0,223,0.0,ok
-75225,1.0,238,0.2857142857142857,ok
-75100,1.0,232,0.9411764705882353,ok
-75132,1.0,236,0.45614035087719296,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.045060658578856105,ok
-75133,1.0,243,0.2857142857142857,ok
-75121,1.0,244,0.002049180327868827,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,255,0.013015184381778733,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,4.677268475206109e-05,ok
-75125,1.0,296,0.02631578947368418,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,300,0.15841584158415845,ok
-75103,1.0,305,0.0490196078431373,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.05411255411255411,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.124934106483922,ok
-75105,1.0,336,0.9444444444444444,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,344,0.055772342248025075,ok
-75156,1.0,348,0.19444444444444442,ok
-75097,1.0,351,0.021655490821149814,ok
-75101,1.0,352,0.2686696268957961,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,359,0.25,ok
-75120,1.0,368,0.009009009009009028,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.41666666666666663,ok
+ova_omentum,1.0,4,0.004484304932735439,ok
+colleges_usnews,1.0,5,0.227979274611399,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.0273972602739726,ok
+pc4,1.0,12,0.3829787234042553,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,287,0.030666027791087735,ok
+puma8nh,1.0,17,0.1593323216995448,ok
+phoneme,1.0,151,0.15127701375245584,ok
+cpu_act,1.0,101,0.0389467910038398,ok
+house_8l,1.0,284,0.1542769857433809,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,265,0.47933884297520657,ok
+bank-marketing,1.0,317,0.4112149532710281,ok
+analcatdata_halloffame,1.0,27,0.10344827586206895,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,259,0.11928429423459241,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.31188118811881194,ok
+analcatdata_supreme,1.0,273,0.007960199004975133,ok
+colleges_aaup,1.0,35,0.028301886792452824,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,46,0.44999999999999996,ok
+hypothyroid,1.0,164,0.01041666666666663,ok
+sylva_prior,1.0,269,0.02464788732394363,ok
+ova_ovary,1.0,51,0.013698630136986356,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,142,0.07741027445460946,ok
+ringnorm,1.0,57,0.027996500437445282,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.08320251177394034,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.15498154981549817,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.0,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.07012750455373407,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.023455119530897628,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.038461538461538436,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,0.1806640625,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,0.25528700906344415,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,0.07191176470588234,ok
+kc1,1.0,136,0.32499999999999996,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.11283604695191218,ok
+kr-vs-kp,1.0,107,0.004081632653061273,ok
+fried,1.0,109,0.05884092253104667,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,324,0.5714285714285714,ok
+credit-g,1.0,141,0.2678571428571429,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,121,0.012626262626262652,ok
+jm1,1.0,123,0.3954802259887006,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,134,0.17279999999999995,ok
+pol,1.0,313,0.01411909146715773,ok
+ailerons,1.0,140,0.0851393188854489,ok
+codrna,1.0,148,0.009679150534749104,ok
+delta_ailerons,1.0,150,0.04609595484477891,ok
+imdb.drama,1.0,153,0.381578947368421,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.1460674157303371,ok
+wilt,1.0,230,0.02941176470588236,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,170,0.027837259100642386,ok
+vehicle_sensit,1.0,175,0.0786632744275596,ok
+japanesevowels,1.0,264,0.0028766630708377816,ok
+ipums_la_99-small,1.0,180,0.39534883720930236,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,219,0.004705882352941226,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.30221535291087065,ok
+puma32h,1.0,215,0.07380073800738007,ok
+delta_elevators,1.0,217,0.11082802547770698,ok
+twonorm,1.0,218,0.014297729184188368,ok
+mv,1.0,223,0.0,ok
+ozone-level-8hr,1.0,238,0.2857142857142857,ok
+pc2,1.0,232,0.9411764705882353,ok
+click_prediction_small,1.0,236,0.45614035087719296,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.045060658578856105,ok
+mc1,1.0,243,0.2857142857142857,ok
+ova_prostate,1.0,244,0.002049180327868827,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,255,0.013015184381778733,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,4.677268475206109e-05,ok
+ova_colon,1.0,296,0.02631578947368418,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.15841584158415845,ok
+sylva_agnostic,1.0,305,0.0490196078431373,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.05411255411255411,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.124934106483922,ok
+kddcup09_appetency,1.0,336,0.9444444444444444,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.055772342248025075,ok
+bioresponse,1.0,348,0.19444444444444442,ok
+amazon_employee_access,1.0,351,0.021655490821149814,ok
+higgs,1.0,352,0.2686696268957961,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,359,0.25,ok
+ova_endometrium,1.0,368,0.009009009009009028,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
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diff --git a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/algorithm_runs.arff
index f565c325e1..3cb0f2a678 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/algorithm_runs.arff
index 88af4cb738..ccbdde4983 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+mfeat-fourier,1.0,355,0.11393257180845939,ok
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+walking-activity,1.0,90,0.40713168296327573,ok
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+ova_breast,1.0,120,0.025999815276623206,ok
+jm1,1.0,123,0.27987774110562413,ok
+page-blocks,1.0,124,0.08981079293009486,ok
+letter,1.0,127,0.03668897049504183,ok
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,134,0.10929763779527557,ok
+pol,1.0,313,0.011425700506237702,ok
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+isolet,1.0,234,0.03193312139874205,ok
+ova_kidney,1.0,185,0.01585035190954187,ok
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+fbis.wc,1.0,199,0.11081611090572108,ok
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+airlines,1.0,207,0.3269076625527081,ok
+puma32h,1.0,215,0.08252351440428352,ok
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+twonorm,1.0,218,0.015927795158734215,ok
+mv,1.0,223,0.0008226691042048095,ok
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+click_prediction_small,1.0,236,0.2502429401729753,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.0432529647835832,ok
+mc1,1.0,243,0.14558499908307354,ok
+ova_prostate,1.0,244,0.0010245901639344135,ok
+mnist_784,1.0,249,0.015323942139022106,ok
+ova_lung,1.0,254,0.00736842105263158,ok
+segment,1.0,258,0.017602687167904585,ok
+ldpa,1.0,274,0.011272008828087321,ok
+poker-hand,1.0,278,0.38637839174474986,ok
+la1s.wc,1.0,282,0.090630824114872,ok
+abalone,1.0,288,0.3466643975493533,ok
+skin-segmentation,1.0,292,0.0006390566380365392,ok
+ova_colon,1.0,293,0.0388596004439512,ok
+satimage,1.0,316,0.09867175041375076,ok
+qsar-biodeg,1.0,300,0.14803383172325324,ok
+sylva_agnostic,1.0,305,0.026084961437320198,ok
+mfeat-factors,1.0,307,0.009016818248217762,ok
+one-hundred-plants-shape,1.0,312,0.30051182151182165,ok
+kdd_ipums_la_97-small,1.0,321,0.027056277056277,ok
+new3s.wc,1.0,326,0.07960382461246107,ok
+la2s.wc,1.0,329,0.08796975050993261,ok
+magictelescope,1.0,331,0.12218388356851961,ok
+kddcup09_appetency,1.0,336,0.47568624363617285,ok
+one-hundred-plants-margin,1.0,339,0.15283680965499136,ok
+adult,1.0,343,0.17890523337060993,ok
+bioresponse,1.0,345,0.20614525139664797,ok
+amazon_employee_access,1.0,350,0.13952651281418404,ok
+higgs,1.0,352,0.27652595563904026,ok
+oh0.wc,1.0,353,0.06598985708786065,ok
+kddcup09_churn,1.0,359,0.1607316185391895,ok
+ova_endometrium,1.0,367,0.21402805611222453,ok
+covertype,1.0,370,0.04627847762245774,ok
diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/algorithm_runs.arff
index f565c325e1..3cb0f2a678 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+adult,1.0,428,0.17660977535412825,ok
+bioresponse,1.0,430,0.20614525139664797,ok
+amazon_employee_access,1.0,435,0.13952651281418404,ok
+higgs,1.0,438,0.2697499561023171,ok
+oh0.wc,1.0,443,0.06598985708786065,ok
+kddcup09_churn,1.0,449,0.13082884710410658,ok
+ova_endometrium,1.0,458,0.17873910127431258,ok
+covertype,1.0,462,0.04627847762245774,ok
diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/algorithm_runs.arff
index 88af4cb738..ccbdde4983 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/algorithm_runs.arff
index 634a83e5c7..ff0fb2bf4e 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/algorithm_runs.arff
index 4ab2e22d87..361e9f7ea5 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ipums_la_99-small,1.0,180,0.06374228923920489,ok
+semeion,1.0,182,0.030476190476190435,ok
+isolet,1.0,234,0.032258064516129004,ok
+ova_kidney,1.0,185,0.00982318271119842,ok
+kr-vs-k,1.0,190,0.14257939079714843,ok
+gesturephasesegmentationprocessed,1.0,196,0.3050951503990178,ok
+fbis.wc,1.0,200,0.13423645320197042,ok
+mfeat-morphological,1.0,203,0.2727272727272727,ok
+yeast,1.0,206,0.39672801635991817,ok
+airlines,1.0,209,0.3295748219061102,ok
+puma32h,1.0,215,0.08250092489826122,ok
+delta_elevators,1.0,216,0.11910828025477704,ok
+twonorm,1.0,218,0.01597051597051602,ok
+mv,1.0,223,0.000668995763026814,ok
+ozone-level-8hr,1.0,238,0.05023923444976075,ok
+pc2,1.0,232,0.00379609544468551,ok
+click_prediction_small,1.0,236,0.04472579479110339,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.04281949934123852,ok
+mc1,1.0,332,0.005443483829650986,ok
+ova_prostate,1.0,244,0.0019646365422396617,ok
+mnist_784,1.0,249,0.015194805194805205,ok
+ova_lung,1.0,254,0.013752455795677854,ok
+segment,1.0,258,0.018372703412073532,ok
+ldpa,1.0,275,0.005367351065198589,ok
+poker-hand,1.0,278,0.2653110698532455,ok
+la1s.wc,1.0,282,0.0832544938505203,ok
+abalone,1.0,289,0.3425253991291727,ok
+skin-segmentation,1.0,292,0.00034624326062226984,ok
+ova_colon,1.0,293,0.03339882121807469,ok
+satimage,1.0,316,0.08345120226308345,ok
+qsar-biodeg,1.0,300,0.14367816091954022,ok
+sylva_agnostic,1.0,306,0.005894736842105286,ok
+mfeat-factors,1.0,307,0.009090909090909038,ok
+one-hundred-plants-shape,1.0,312,0.30492424242424243,ok
+kdd_ipums_la_97-small,1.0,321,0.021588946459412783,ok
+new3s.wc,1.0,326,0.09511731135066581,ok
+la2s.wc,1.0,329,0.07495069033530577,ok
+magictelescope,1.0,331,0.1210962396430848,ok
+kddcup09_appetency,1.0,334,0.018121212121212094,ok
+one-hundred-plants-margin,1.0,339,0.16666666666666663,ok
+adult,1.0,343,0.14450580132779056,ok
+bioresponse,1.0,345,0.20533548908649957,ok
+amazon_employee_access,1.0,350,0.049569962082678276,ok
+higgs,1.0,352,0.27596118185189766,ok
+oh0.wc,1.0,357,0.0696969696969697,ok
+kddcup09_churn,1.0,359,0.07163636363636361,ok
+ova_endometrium,1.0,367,0.035363457760314354,ok
+covertype,1.0,371,0.031804645001121346,ok
diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/algorithm_runs.arff
index 634a83e5c7..ff0fb2bf4e 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75177,1.0,13,0.008038585209003246,ok
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/algorithm_runs.arff
index 4ab2e22d87..361e9f7ea5 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_multiclass.classification_dense/algorithm_runs.arff
index 9a2e1a5829..176aba9752 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.41666666666666663,ok
-75119,1.0,4,0.0022883295194507935,ok
-75139,1.0,321,0.01167793484941615,ok
-75212,1.0,7,0.227979274611399,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,425,0.026666666666666616,ok
-75092,1.0,52,0.34883720930232553,ok
-75239,1.0,15,0.0,ok
-75173,1.0,264,0.10553410553410558,ok
-75215,1.0,269,0.02467343976777936,ok
-75171,1.0,20,0.1593323216995448,ok
-75112,1.0,42,0.11276127612761278,ok
-75227,1.0,190,0.15127701375245584,ok
-75233,1.0,128,0.03593145384190155,ok
-75182,1.0,138,0.14901165737455646,ok
-253,1.0,27,?,not_applicable
-75157,1.0,331,0.4285714285714286,ok
-75187,1.0,267,0.011824324324324342,ok
-75124,1.0,31,0.3571428571428571,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,33,0.10344827586206895,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.11234817813765186,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.297752808988764,ok
-75143,1.0,340,0.007960199004975133,ok
-75196,1.0,44,0.028301886792452824,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,55,0.44999999999999996,ok
-75249,1.0,204,0.01041666666666663,ok
-75113,1.0,335,0.02464788732394363,ok
-75126,1.0,62,0.013698630136986356,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.03386960203217615,ok
-75234,1.0,70,0.027687296416938123,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.08320251177394034,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,329,0.1372180451127819,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,84,0.0,ok
-75146,1.0,178,0.0851393188854489,ok
-244,1.0,89,?,not_applicable
-75141,1.0,90,0.051406401551891356,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.013513513513513487,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.013698630136986356,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,108,0.16874400767018216,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,114,0.25528700906344415,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.06557867944303042,ok
-75099,1.0,124,0.0,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.10056497175141244,ok
-233,1.0,136,0.002044989775051076,ok
-75161,1.0,139,0.05600709324663811,ok
-75176,1.0,328,0.013371788148925035,ok
-262,1.0,146,?,not_applicable
-75129,1.0,339,0.0,ok
-261,1.0,179,0.2678571428571429,ok
-75114,1.0,155,0.012626262626262652,ok
-75093,1.0,157,0.3197278911564626,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,169,0.12364425162689807,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.009679150534749104,ok
-75163,1.0,189,0.04433962264150948,ok
-2350,1.0,192,0.381578947368421,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,424,0.09756097560975607,ok
-75095,1.0,284,0.02941176470588236,ok
-75108,1.0,207,0.0,ok
-75117,1.0,212,0.027837259100642386,ok
-75191,1.0,217,0.0786632744275596,ok
-75226,1.0,220,0.0010857763300760048,ok
-75244,1.0,372,0.15384615384615385,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,320,0.0023474178403756207,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,4.677268475206109e-05,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.30221535291087065,ok
-75153,1.0,263,0.07380073800738007,ok
-75195,1.0,271,0.0,ok
-266,1.0,277,?,not_applicable
-75225,1.0,297,0.2857142857142857,ok
-75100,1.0,286,0.5,ok
-75132,1.0,293,0.32793522267206476,ok
-75210,1.0,298,0.0,ok
-273,1.0,300,0.045060658578856105,ok
-75133,1.0,413,0.19999999999999996,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.010638297872340385,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.026066350710900466,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.13888888888888884,ok
-75103,1.0,379,0.04870129870129869,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,400,0.050605060506050625,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.0,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.04640735343571345,ok
-75156,1.0,433,0.19444444444444442,ok
-75097,1.0,437,0.021655490821149814,ok
-75101,1.0,439,0.2614270449958447,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.19047619047619047,ok
-75120,1.0,459,0.009009009009009028,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.41666666666666663,ok
+ova_omentum,1.0,4,0.0022883295194507935,ok
+pol,1.0,321,0.01167793484941615,ok
+colleges_usnews,1.0,7,0.227979274611399,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,425,0.026666666666666616,ok
+pc4,1.0,52,0.34883720930232553,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.10553410553410558,ok
+phishingwebsites,1.0,269,0.02467343976777936,ok
+puma8nh,1.0,20,0.1593323216995448,ok
+magictelescope,1.0,42,0.11276127612761278,ok
+phoneme,1.0,190,0.15127701375245584,ok
+cpu_act,1.0,128,0.03593145384190155,ok
+house_8l,1.0,138,0.14901165737455646,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,331,0.4285714285714286,ok
+twonorm,1.0,267,0.011824324324324342,ok
+bank-marketing,1.0,31,0.3571428571428571,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,0.10344827586206895,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.11234817813765186,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.297752808988764,ok
+analcatdata_supreme,1.0,340,0.007960199004975133,ok
+colleges_aaup,1.0,44,0.028301886792452824,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,55,0.44999999999999996,ok
+hypothyroid,1.0,204,0.01041666666666663,ok
+sylva_prior,1.0,335,0.02464788732394363,ok
+ova_ovary,1.0,62,0.013698630136986356,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.03386960203217615,ok
+ringnorm,1.0,70,0.027687296416938123,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.08320251177394034,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,329,0.1372180451127819,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,0.0,ok
+ailerons,1.0,178,0.0851393188854489,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,0.051406401551891356,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.013513513513513487,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.013698630136986356,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,108,0.16874400767018216,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,0.25528700906344415,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.06557867944303042,ok
+kc1,1.0,124,0.0,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.10056497175141244,ok
+kr-vs-kp,1.0,136,0.002044989775051076,ok
+fried,1.0,139,0.05600709324663811,ok
+houses,1.0,328,0.013371788148925035,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,339,0.0,ok
+credit-g,1.0,179,0.2678571428571429,ok
+ova_breast,1.0,155,0.012626262626262652,ok
+jm1,1.0,157,0.3197278911564626,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,169,0.12364425162689807,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.009679150534749104,ok
+delta_ailerons,1.0,189,0.04433962264150948,ok
+imdb.drama,1.0,192,0.381578947368421,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,424,0.09756097560975607,ok
+wilt,1.0,284,0.02941176470588236,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,212,0.027837259100642386,ok
+vehicle_sensit,1.0,217,0.0786632744275596,ok
+japanesevowels,1.0,220,0.0010857763300760048,ok
+ipums_la_99-small,1.0,372,0.15384615384615385,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,320,0.0023474178403756207,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,4.677268475206109e-05,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.30221535291087065,ok
+puma32h,1.0,263,0.07380073800738007,ok
+mv,1.0,271,0.0,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,297,0.2857142857142857,ok
+pc2,1.0,286,0.5,ok
+click_prediction_small,1.0,293,0.32793522267206476,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,300,0.045060658578856105,ok
+mc1,1.0,413,0.19999999999999996,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.010638297872340385,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.026066350710900466,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.13888888888888884,ok
+sylva_agnostic,1.0,379,0.04870129870129869,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,400,0.050605060506050625,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.0,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.04640735343571345,ok
+bioresponse,1.0,433,0.19444444444444442,ok
+amazon_employee_access,1.0,437,0.021655490821149814,ok
+higgs,1.0,439,0.2614270449958447,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.19047619047619047,ok
+ova_endometrium,1.0,459,0.009009009009009028,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
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-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
-288,1.0,3e-05,2e-05,0.00033,5e-05,3e-05,0.00592,0.00492,4e-05,0.00071,5e-05,0.00039,2e-05,4e-05,4e-05,0.00015,0.00014,7e-05,3e-05,8e-05,4e-05,0.00029,3e-05,1e-05,7e-05,0.00018,0.00084,1e-05,1e-05,0.00024,0.00047,0.00011,0.00052,9e-05,8e-05,0.0001,0.00025,0.00076,0.00027,0.00012,0.00012,0.00025,0.0028
-3043,1.0,2e-05,1e-05,0.00013,2e-05,1e-05,0.00173,0.00137,2e-05,0.00027,2e-05,0.00013,1e-05,3e-05,3e-05,7e-05,7e-05,3e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00022,1e-05,1e-05,6e-05,0.00011,4e-05,0.00068,0.00012,0.00014,0.00015,0.00028,0.00049,6e-05,7e-05,0.00011,0.00025,0.00084
-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
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-75097,1.0,3e-05,2e-05,0.00078,3e-05,2e-05,0.02319,0.02025,2e-05,0.0024,2e-05,0.00059,1e-05,3e-05,3e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00028,4e-05,1e-05,6e-05,0.00017,0.00051,1e-05,1e-05,0.0001,0.00026,0.00012,0.00051,7e-05,9e-05,0.00014,0.0002,0.00126,0.00021,0.00021,0.00026,0.00058,0.0149
-75098,1.0,4e-05,1e-05,0.0023,2e-05,2e-05,0.22445,0.08459,6e-05,0.06702,8e-05,0.07298,1e-05,0.00014,0.00016,0.00021,0.00015,0.00012,1e-05,0.00014,2e-05,0.0002,2e-05,1e-05,4e-05,0.00014,0.00046,0.0,0.0,0.00014,0.00025,6e-05,0.00054,9e-05,0.0001,0.00012,0.00024,0.00066,0.00019,0.0001,0.00013,0.00024,0.02063
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diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/algorithm_runs.arff
index bdf3ec4584..df1024b596 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75119,1.0,4,0.004484304932735439,ok
-75212,1.0,5,0.227979274611399,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.0273972602739726,ok
-75092,1.0,12,0.3829787234042553,ok
-75239,1.0,13,0.0,ok
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-75233,1.0,101,0.0389467910038398,ok
-75182,1.0,284,0.1542769857433809,ok
-253,1.0,23,?,not_applicable
-75157,1.0,265,0.47933884297520657,ok
-75124,1.0,317,0.4112149532710281,ok
-75222,1.0,27,0.10344827586206895,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,259,0.11928429423459241,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.31188118811881194,ok
-75143,1.0,273,0.007960199004975133,ok
-75196,1.0,35,0.028301886792452824,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,46,0.44999999999999996,ok
-75249,1.0,164,0.01041666666666663,ok
-75113,1.0,269,0.02464788732394363,ok
-75126,1.0,51,0.013698630136986356,ok
-251,1.0,53,?,not_applicable
-75184,1.0,142,0.07741027445460946,ok
-75234,1.0,57,0.027996500437445282,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.08320251177394034,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.15498154981549817,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.0,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.07012750455373407,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.023455119530897628,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.038461538461538436,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,87,0.1806640625,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,0.25528700906344415,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,0.07191176470588234,ok
-75099,1.0,136,0.32499999999999996,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.11283604695191218,ok
-233,1.0,107,0.004081632653061273,ok
-75161,1.0,109,0.05884092253104667,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,324,0.5714285714285714,ok
-261,1.0,141,0.2678571428571429,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,121,0.012626262626262652,ok
-75093,1.0,123,0.3954802259887006,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,134,0.17279999999999995,ok
-75139,1.0,313,0.01411909146715773,ok
-75146,1.0,140,0.0851393188854489,ok
-75189,1.0,148,0.009679150534749104,ok
-75163,1.0,150,0.04609595484477891,ok
-2350,1.0,153,0.381578947368421,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.1460674157303371,ok
-75095,1.0,230,0.02941176470588236,ok
-75108,1.0,167,0.0,ok
-75117,1.0,170,0.027837259100642386,ok
-75191,1.0,175,0.0786632744275596,ok
-75226,1.0,264,0.0028766630708377816,ok
-75244,1.0,180,0.39534883720930236,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,219,0.004705882352941226,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.30221535291087065,ok
-75153,1.0,215,0.07380073800738007,ok
-75173,1.0,217,0.11082802547770698,ok
-75187,1.0,218,0.014297729184188368,ok
-75195,1.0,223,0.0,ok
-75225,1.0,238,0.2857142857142857,ok
-75100,1.0,232,0.9411764705882353,ok
-75132,1.0,236,0.45614035087719296,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.045060658578856105,ok
-75133,1.0,243,0.2857142857142857,ok
-75121,1.0,244,0.002049180327868827,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,255,0.013015184381778733,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,4.677268475206109e-05,ok
-75125,1.0,296,0.02631578947368418,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,300,0.15841584158415845,ok
-75103,1.0,305,0.0490196078431373,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.05411255411255411,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.124934106483922,ok
-75105,1.0,336,0.9444444444444444,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,344,0.055772342248025075,ok
-75156,1.0,348,0.19444444444444442,ok
-75097,1.0,351,0.021655490821149814,ok
-75101,1.0,352,0.2686696268957961,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,359,0.25,ok
-75120,1.0,368,0.009009009009009028,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.41666666666666663,ok
+ova_omentum,1.0,4,0.004484304932735439,ok
+colleges_usnews,1.0,5,0.227979274611399,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.0273972602739726,ok
+pc4,1.0,12,0.3829787234042553,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,287,0.030666027791087735,ok
+puma8nh,1.0,17,0.1593323216995448,ok
+phoneme,1.0,151,0.15127701375245584,ok
+cpu_act,1.0,101,0.0389467910038398,ok
+house_8l,1.0,284,0.1542769857433809,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,265,0.47933884297520657,ok
+bank-marketing,1.0,317,0.4112149532710281,ok
+analcatdata_halloffame,1.0,27,0.10344827586206895,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,259,0.11928429423459241,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.31188118811881194,ok
+analcatdata_supreme,1.0,273,0.007960199004975133,ok
+colleges_aaup,1.0,35,0.028301886792452824,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,46,0.44999999999999996,ok
+hypothyroid,1.0,164,0.01041666666666663,ok
+sylva_prior,1.0,269,0.02464788732394363,ok
+ova_ovary,1.0,51,0.013698630136986356,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,142,0.07741027445460946,ok
+ringnorm,1.0,57,0.027996500437445282,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.08320251177394034,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.15498154981549817,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.0,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.07012750455373407,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.023455119530897628,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.038461538461538436,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,0.1806640625,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,0.25528700906344415,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,0.07191176470588234,ok
+kc1,1.0,136,0.32499999999999996,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.11283604695191218,ok
+kr-vs-kp,1.0,107,0.004081632653061273,ok
+fried,1.0,109,0.05884092253104667,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,324,0.5714285714285714,ok
+credit-g,1.0,141,0.2678571428571429,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,121,0.012626262626262652,ok
+jm1,1.0,123,0.3954802259887006,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,134,0.17279999999999995,ok
+pol,1.0,313,0.01411909146715773,ok
+ailerons,1.0,140,0.0851393188854489,ok
+codrna,1.0,148,0.009679150534749104,ok
+delta_ailerons,1.0,150,0.04609595484477891,ok
+imdb.drama,1.0,153,0.381578947368421,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.1460674157303371,ok
+wilt,1.0,230,0.02941176470588236,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,170,0.027837259100642386,ok
+vehicle_sensit,1.0,175,0.0786632744275596,ok
+japanesevowels,1.0,264,0.0028766630708377816,ok
+ipums_la_99-small,1.0,180,0.39534883720930236,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,219,0.004705882352941226,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.30221535291087065,ok
+puma32h,1.0,215,0.07380073800738007,ok
+delta_elevators,1.0,217,0.11082802547770698,ok
+twonorm,1.0,218,0.014297729184188368,ok
+mv,1.0,223,0.0,ok
+ozone-level-8hr,1.0,238,0.2857142857142857,ok
+pc2,1.0,232,0.9411764705882353,ok
+click_prediction_small,1.0,236,0.45614035087719296,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.045060658578856105,ok
+mc1,1.0,243,0.2857142857142857,ok
+ova_prostate,1.0,244,0.002049180327868827,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,255,0.013015184381778733,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,4.677268475206109e-05,ok
+ova_colon,1.0,296,0.02631578947368418,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.15841584158415845,ok
+sylva_agnostic,1.0,305,0.0490196078431373,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.05411255411255411,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.124934106483922,ok
+kddcup09_appetency,1.0,336,0.9444444444444444,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.055772342248025075,ok
+bioresponse,1.0,348,0.19444444444444442,ok
+amazon_employee_access,1.0,351,0.021655490821149814,ok
+higgs,1.0,352,0.2686696268957961,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,359,0.25,ok
+ova_endometrium,1.0,368,0.009009009009009028,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
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+ipums_la_99-small,1.0,3e-05,2e-05,0.0004,3e-05,2e-05,0.0173,0.01298,4e-05,0.00267,4e-05,0.00174,1e-05,7e-05,9e-05,0.00024,0.00027,8e-05,2e-05,0.00013,3e-05,0.00045,7e-05,2e-05,0.00011,0.00025,0.00077,6e-05,2e-05,0.00021,0.00034,0.00013,0.00077,0.00014,0.00013,0.00026,0.00023,0.00044,7e-05,8e-05,0.0001,0.00019,0.00649
+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/algorithm_runs.arff
index fd2afc0c6a..d851a888e3 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
-288,1.0,3e-05,2e-05,0.00033,5e-05,3e-05,0.00592,0.00492,4e-05,0.00071,5e-05,0.00039,2e-05,4e-05,4e-05,0.00015,0.00014,7e-05,3e-05,8e-05,4e-05,0.00029,3e-05,1e-05,7e-05,0.00018,0.00084,1e-05,1e-05,0.00024,0.00047,0.00011,0.00052,9e-05,8e-05,0.0001,0.00025,0.00076,0.00027,0.00012,0.00012,0.00025,0.0028
-3043,1.0,2e-05,1e-05,0.00013,2e-05,1e-05,0.00173,0.00137,2e-05,0.00027,2e-05,0.00013,1e-05,3e-05,3e-05,7e-05,7e-05,3e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00022,1e-05,1e-05,6e-05,0.00011,4e-05,0.00068,0.00012,0.00014,0.00015,0.00028,0.00049,6e-05,7e-05,0.00011,0.00025,0.00084
-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
-75092,1.0,1e-05,1e-05,7e-05,1e-05,1e-05,0.00086,0.00067,1e-05,0.00015,1e-05,7e-05,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00016,2e-05,1e-05,4e-05,9e-05,0.0005,0.0,0.0,0.00014,0.00028,7e-05,0.00057,9e-05,0.0001,0.00012,0.00026,0.00045,7e-05,9e-05,0.0001,0.0002,0.00058
-75093,1.0,4e-05,4e-05,0.00049,3e-05,2e-05,0.00845,0.0071,3e-05,0.00079,3e-05,0.00063,1e-05,3e-05,3e-05,8e-05,0.00014,4e-05,2e-05,9e-05,5e-05,0.00031,3e-05,1e-05,6e-05,0.00022,0.00068,0.0,1e-05,0.0002,0.00037,9e-05,0.00066,0.00011,8e-05,0.00014,0.00034,0.00043,7e-05,8e-05,9e-05,0.00019,0.00465
-75095,1.0,1e-05,1e-05,0.0001,2e-05,1e-05,0.00205,0.00187,1e-05,0.00017,2e-05,5e-05,1e-05,3e-05,2e-05,5e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00046,0.0,0.0,0.00014,0.00025,6e-05,0.00038,8e-05,6e-05,8e-05,0.00016,0.00041,6e-05,7e-05,9e-05,0.00019,0.00119
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/algorithm_runs.arff
index 94702a454e..93e4dab8e6 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_samples_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+wall-robot-navigation,1.0,1.7067919449664923,0.4105579868708972,0.25,0.05579868708971553,0.1492903085996621,0.006564551422319475,152.33333333333334,13.76956558227539,2.346758103856697,-1.6145207422400454,4.524616106763882,-5.026071102226095,5.026071102226095,3.1780538303479458,8.204124932574041,0.0,4.0,24.0,0.0,3656.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,3.779214382171631,1.515954251983203,0.004355928860604763,1.0657977665170062,0.0,0.0,0.0,0.0,0.0
+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/algorithm_runs.arff
index fd2afc0c6a..d851a888e3 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
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diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/algorithm_runs.arff
index 94702a454e..93e4dab8e6 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
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diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2120,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2122,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
-2123,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_samples_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/algorithm_runs.arff
index 96a3893388..60d54bd7f9 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+yeast,1.0,254,0.396716822841897,ok
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+segment,1.0,322,0.018180780762088622,ok
+ozone-level-8hr,1.0,332,0.05273716211437873,ok
+pc2,1.0,446,0.004756223222451839,ok
+click_prediction_small,1.0,293,0.0571930337165214,ok
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+spambase,1.0,301,0.040225604324583664,ok
+mc1,1.0,413,0.005392856833778992,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,311,0.0152001837468414,ok
+ova_lung,1.0,317,0.013549788026057219,ok
+cardiotocography,1.0,337,0.0,ok
+ldpa,1.0,342,0.005361604403697817,ok
+poker-hand,1.0,346,0.004757688405629512,ok
+la1s.wc,1.0,352,0.08317391099432714,ok
+abalone,1.0,362,0.2997633452392743,ok
+ova_colon,1.0,370,0.029593182863833833,ok
+satimage,1.0,392,0.08124302727562538,ok
+qsar-biodeg,1.0,374,0.1187819284802043,ok
+sylva_agnostic,1.0,380,0.005399083293820106,ok
+one-hundred-plants-shape,1.0,387,0.2527553675280948,ok
+kdd_ipums_la_97-small,1.0,399,0.0204207134258948,ok
+new3s.wc,1.0,405,0.09211497349737496,ok
+la2s.wc,1.0,408,0.07523390528311624,ok
+kddcup09_appetency,1.0,415,0.017734400799313876,ok
+one-hundred-plants-margin,1.0,422,0.12976723402859758,ok
+adult,1.0,429,0.14107714062375432,ok
+bioresponse,1.0,430,0.2055938181670377,ok
+amazon_employee_access,1.0,435,0.05939963063826015,ok
+higgs,1.0,438,0.2694014779536278,ok
+oh0.wc,1.0,447,0.06672095335990003,ok
+kddcup09_churn,1.0,449,0.07978518113963218,ok
+ova_endometrium,1.0,458,0.03629372831619715,ok
+covertype,1.0,462,0.02926843414927016,ok
diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/algorithm_runs.arff
index c59d5e88ed..5c96108e87 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75092,1.0,31,0.06467966224063781,ok
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+skin-segmentation,1.0,2e-05,1e-05,0.00785,2e-05,1e-05,0.31031,0.27854,2e-05,0.01161,3e-05,0.02022,1e-05,4e-05,3e-05,9e-05,0.00024,6e-05,2e-05,9e-05,2e-05,0.00062,7e-05,3e-05,0.00017,0.00035,0.0008,1e-05,1e-05,0.00028,0.00043,8e-05,0.00043,8e-05,7e-05,9e-05,0.0002,0.00044,6e-05,8e-05,9e-05,0.00021,0.14028
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+nursery,1.0,1e-05,1e-05,0.00029,1e-05,1e-05,0.00461,0.00415,1e-05,0.00035,1e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.0004,6e-05,6e-05,8e-05,0.0002,0.00039,6e-05,6e-05,8e-05,0.00019,0.00265
+ipums_la_99-small,1.0,3e-05,2e-05,0.0004,3e-05,2e-05,0.0173,0.01298,4e-05,0.00267,4e-05,0.00174,1e-05,7e-05,9e-05,0.00024,0.00027,8e-05,2e-05,0.00013,3e-05,0.00045,7e-05,2e-05,0.00011,0.00025,0.00077,6e-05,2e-05,0.00021,0.00034,0.00013,0.00077,0.00014,0.00013,0.00026,0.00023,0.00044,7e-05,8e-05,0.0001,0.00019,0.00649
+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/algorithm_runs.arff
index 96a3893388..60d54bd7f9 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/algorithm_runs.arff
index c59d5e88ed..5c96108e87 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ova_kidney,1.0,185,0.009857921438566342,ok
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+ova_prostate,1.0,244,0.001960610647685823,ok
+mnist_784,1.0,249,0.0152001837468414,ok
+ova_lung,1.0,254,0.013549788026057219,ok
+segment,1.0,258,0.018180780762088622,ok
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+abalone,1.0,288,0.34313561549230787,ok
+skin-segmentation,1.0,292,0.00034611989806010435,ok
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+satimage,1.0,316,0.084079929894191,ok
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+mfeat-factors,1.0,307,0.008974510474064168,ok
+one-hundred-plants-shape,1.0,312,0.27105922276376826,ok
+kdd_ipums_la_97-small,1.0,321,0.0204207134258948,ok
+new3s.wc,1.0,326,0.09211497349737496,ok
+la2s.wc,1.0,329,0.07523390528311624,ok
+magictelescope,1.0,331,0.12134689730841464,ok
+kddcup09_appetency,1.0,336,0.023834781720897036,ok
+one-hundred-plants-margin,1.0,339,0.12976723402859758,ok
+adult,1.0,344,0.14107714062375432,ok
+bioresponse,1.0,345,0.2055938181670377,ok
+amazon_employee_access,1.0,350,0.05939963063826015,ok
+higgs,1.0,352,0.2761500872716729,ok
+oh0.wc,1.0,357,0.06672095335990003,ok
+kddcup09_churn,1.0,359,0.08433952482848384,ok
+ova_endometrium,1.0,368,0.03827569446429968,ok
+covertype,1.0,371,0.031839255505337394,ok
diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/r2_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/r2_regression_dense/algorithm_runs.arff
index cb9164820c..4f21f6dc31 100644
--- a/autosklearn/metalearning/files/r2_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/r2_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-4796,1.0,2,0.9558562020966205,ok
-4893,1.0,5,0.33083289037496466,ok
-4769,1.0,9,0.1604811265188203,ok
-4885,1.0,13,0.04118056839097084,ok
-5024,1.0,17,0.6711957287362825,ok
-2306,1.0,15,0.053390348329932835,ok
-4892,1.0,68,0.01224223499581889,ok
-4883,1.0,19,0.017053566229309536,ok
-2307,1.0,22,0.08220130028875894,ok
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+pol,1.0,1,0.008574506336195942,ok
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+2dplanes,1.0,15,0.053390348329932835,ok
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+cpu_small,1.0,19,0.017053566229309536,ok
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+mtp,1.0,38,0.43951967069636,ok
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+yprop_4_1,1.0,59,0.9123537782706421,ok
+quake,1.0,62,0.9647667040759655,ok
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diff --git a/autosklearn/metalearning/files/r2_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/r2_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/r2_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/r2_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+mv,1.0,1e-05,1e-05,2e-05,1e-05,0.02342,0.02131,1e-05,0.00151,2e-05,0.00064,1e-05,2e-05,2e-05,6e-05,6e-05,2e-05,1e-05,4e-05,2e-05,0.00024,1e-05,1e-05,5e-05,0.00013,5e-05,0.00065,0.0001,0.00012,0.00014,0.00029,0.00075,0.00015,0.00012,0.00016,0.00033
+mtp,1.0,1e-05,1e-05,1e-05,1e-05,0.00696,0.00386,2e-05,0.00165,2e-05,0.00149,1e-05,5e-05,3e-05,7e-05,0.0001,3e-05,1e-05,6e-05,2e-05,0.00047,0.0,0.0,0.00012,0.00027,8e-05,0.00055,8e-05,0.00013,0.00013,0.0002,0.00081,0.00013,0.00014,0.00018,0.00035
+yprop_4_1,1.0,1e-05,1e-05,2e-05,1e-05,0.02423,0.0123,3e-05,0.00628,6e-05,0.00575,1e-05,8e-05,6e-05,0.00024,0.00016,7e-05,1e-05,0.0001,2e-05,0.00082,1e-05,1e-05,0.00023,0.00044,0.00014,0.00103,0.00014,0.00017,0.00031,0.00042,0.00099,0.00014,0.00018,0.0002,0.00048
+topo_2_1,1.0,2e-05,1e-05,2e-05,1e-05,0.03581,0.0194,4e-05,0.00921,5e-05,0.00729,1e-05,8e-05,0.0001,0.00013,0.00016,8e-05,2e-05,0.00012,3e-05,0.00083,1e-05,1e-05,0.00023,0.00045,0.00015,0.00103,0.00015,0.00019,0.0003,0.00039,0.0009,0.00016,0.00015,0.00019,0.0004
+space_ga,1.0,2e-05,2e-05,3e-05,2e-05,0.00597,0.00541,3e-05,0.0005,3e-05,0.00014,1e-05,5e-05,5e-05,0.00014,0.00022,7e-05,2e-05,0.0001,3e-05,0.0031,1e-05,1e-05,0.00113,0.00174,0.0002,0.00113,0.00022,0.00019,0.00023,0.00049,0.00086,0.00013,0.00015,0.00026,0.00033
+bank32nh,1.0,2e-05,1e-05,3e-05,1e-05,0.01016,0.00811,2e-05,0.00138,2e-05,0.00073,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,2e-05,6e-05,3e-05,0.00083,1e-05,1e-05,0.00022,0.00043,0.00017,0.00079,0.00011,0.00012,0.00016,0.00039,0.00104,0.00012,0.00013,0.00022,0.00058
+cpu_small,1.0,1e-05,1e-05,3e-05,3e-05,0.00448,0.00395,1e-05,0.0004,1e-05,0.00017,1e-05,2e-05,2e-05,7e-05,8e-05,3e-05,1e-05,4e-05,2e-05,0.00042,0.0,0.0,0.00011,0.00023,7e-05,0.00179,0.00025,0.00035,0.00044,0.00075,0.00072,0.00011,0.00012,0.00016,0.00033
+fried,1.0,2e-05,1e-05,3e-05,1e-05,0.04525,0.04018,2e-05,0.00396,2e-05,0.00116,1e-05,5e-05,7e-05,9e-05,0.00015,6e-05,1e-05,0.00013,7e-05,0.00092,1e-05,1e-05,0.00032,0.00045,0.00014,0.00082,0.00012,0.00013,0.00017,0.0004,0.00076,0.00011,0.00012,0.00016,0.00036
+cpu_act,1.0,1e-05,1e-05,2e-05,1e-05,0.00802,0.00665,2e-05,0.00093,2e-05,0.00048,1e-05,3e-05,3e-05,7e-05,0.0001,6e-05,1e-05,5e-05,2e-05,0.00112,0.0,1e-05,0.00034,0.00066,0.00011,0.00041,8e-05,7e-05,8e-05,0.00018,0.00046,6e-05,7e-05,9e-05,0.00025
+house_16h,1.0,3e-05,2e-05,4e-05,2e-05,0.02994,0.02648,3e-05,0.00238,4e-05,0.00116,1e-05,4e-05,5e-05,8e-05,0.00011,5e-05,2e-05,0.0001,4e-05,0.00089,1e-05,1e-05,0.00026,0.00049,0.00012,0.00077,0.00013,0.00012,0.00016,0.00036,0.00092,0.00019,0.00013,0.00017,0.00042
+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
+era,1.0,2e-05,2e-05,1e-05,1e-05,0.00067,0.00056,1e-05,0.0001,1e-05,3e-05,0.0,5e-05,2e-05,4e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00044,0.0,0.0,0.00013,0.00023,7e-05,0.00146,0.00027,0.0002,0.00037,0.00062,0.0012,0.00018,0.00025,0.00042,0.00035
diff --git a/autosklearn/metalearning/files/r2_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/r2_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/r2_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/r2_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+pol,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+2dplanes,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_8l,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma8nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma32h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+topo_2_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+bank32nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_16h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+swd,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+era,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
diff --git a/autosklearn/metalearning/files/r2_regression_dense/feature_values.arff b/autosklearn/metalearning/files/r2_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/r2_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/r2_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
-2280,1.0,0.0010851871947911015,921.5,-1.1797564029693604,-1.190689817070961,-1.1985208988189697,0.0060950440303903395,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.008798676542937756,-0.0038526186399394646,-0.0407424159348011,0.015143119053091186,0.0,0.0,0.0,0.0,0.0
-2288,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
-2289,1.0,0.0007005253940455342,1427.5,3.8708541701186707,0.5770136333416925,-0.5455377101898193,1.514098932219528,-7.263679941530166,7.263679941530166,1.791759469228055,9.05543941075822,0.0,6.0,0.0,8565.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.1560402661561966,-0.016865503663818043,-0.2020374983549118,0.12720079030991352,0.0,0.0,0.0,0.0,0.0
-2292,1.0,0.0035555555555555557,281.25,145.91824340820312,35.029844325087716,-0.08190560340881348,37.38114065131407,-5.63924395351863,5.63924395351863,3.871201010907891,9.51044496442652,0.0,48.0,0.0,13500.0,0.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,11.55811595916748,4.7866563223875485,0.312971293926239,2.954179637242707,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/r2_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/r2_regression_sparse/algorithm_runs.arff
index cb9164820c..4f21f6dc31 100644
--- a/autosklearn/metalearning/files/r2_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/r2_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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+pol,1.0,1,0.008574506336195942,ok
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+house_16h,1.0,5,0.33083289037496466,ok
+ailerons,1.0,9,0.1604811265188203,ok
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+era,1.0,17,0.6711957287362825,ok
+2dplanes,1.0,15,0.053390348329932835,ok
+cpu_act,1.0,68,0.01224223499581889,ok
+cpu_small,1.0,19,0.017053566229309536,ok
+elevators,1.0,22,0.08220130028875894,ok
+kin8nm,1.0,24,0.0731932711533756,ok
+house_8l,1.0,51,0.297433454454646,ok
+delta_elevators,1.0,30,0.328161502364143,ok
+space_ga,1.0,34,0.23639599175635295,ok
+cpu_small,1.0,48,0.017053566229309536,ok
+wine_quality,1.0,36,0.4519019555408781,ok
+mtp,1.0,38,0.43951967069636,ok
+puma8nh,1.0,42,0.31212101707514894,ok
+swd,1.0,45,0.6279675012330521,ok
+bank32nh,1.0,52,0.46781728570028536,ok
+cpu_act,1.0,57,0.01224223499581889,ok
+yprop_4_1,1.0,59,0.9123537782706421,ok
+quake,1.0,62,0.9647667040759655,ok
+mv,1.0,66,7.570837416426279e-06,ok
+puma32h,1.0,70,0.04668363368407369,ok
diff --git a/autosklearn/metalearning/files/r2_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/r2_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/r2_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/r2_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/r2_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/r2_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/r2_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/r2_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/r2_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/r2_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/r2_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/r2_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+mtp,1.0,0.050436953807740326,19.826732673267326,2023.5899658203125,78.89800691269137,-0.3645970821380615,269.96031674038045,-2.9870311621012546,2.9870311621012546,5.308267697401205,8.29529885950246,0.0,202.0,0.0,4005.0,0.0,0.0,202.0,0.0,0.0,0.0,0.0,0.0,41.17897415161133,2.253734525578963,-36.846744537353516,7.063697262194517,0.0,0.0,0.0,0.0,0.0
+yprop_4_1,1.0,0.03139069534767384,31.856573705179283,7991.003811837606,642.1047528984591,-0.8172917366027832,1337.1404483968322,-3.4612437564885066,3.461243756488507,5.5254529391317835,8.98669669562029,0.0,251.0,0.0,7996.0,0.0,0.0,251.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,15.124316601668054,-44.16343307495117,19.170129417009754,0.0,0.0,0.0,0.0,0.0
+topo_2_1,1.0,0.03326663331665833,30.06015037593985,7991.003811837606,463.5706836305616,-0.18612432479858398,1325.5833172784367,-3.403200386838592,3.4032003868385914,5.583496308781699,8.98669669562029,0.0,266.0,0.0,7996.0,0.0,0.0,266.0,0.0,0.0,0.0,0.0,0.0,89.40361785888672,9.274567123598837,-2.195953845977783,17.747106637392935,0.0,0.0,0.0,0.0,0.0
+space_ga,1.0,0.002145922746781116,466.0,0.8862950801849365,0.45250606536865234,-0.651503324508667,0.5315639913043118,-6.144185634125646,6.144185634125646,1.791759469228055,7.935945103353701,0.0,6.0,0.0,2796.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.5836177468299866,0.19801302642251054,-0.7145333290100098,0.45392537178033815,0.0,0.0,0.0,0.0,0.0
+bank32nh,1.0,0.004340748779164406,230.375,8.398560523986816,0.8951264098286629,-1.3067413568496704,3.2451089643474926,-5.439708415989988,5.439708415989988,3.4657359027997265,8.905444318789714,0.0,32.0,0.0,7372.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,2.1736176013946533,0.617036843628739,-0.022607745602726936,0.8860650474358256,0.0,0.0,0.0,0.0,0.0
+cpu_small,1.0,0.0016277807921866521,614.3333333333334,323.7693923069449,79.67254878426856,0.9639408588409424,105.42530803556463,-6.420537669001714,6.420537669001714,2.4849066497880004,8.905444318789714,0.0,12.0,0.0,7372.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,14.269277572631836,5.179579322536786,-0.7831974029541016,4.424204515765703,0.0,0.0,0.0,0.0,0.0
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+cpu_act,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
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+swd,1.0,0.011111111111111112,90.0,-1.0762021359915683,-1.3324955659833357,-1.9520033311864657,0.2528537963602448,-4.499809670330265,4.499809670330265,2.302585092994046,6.802394763324311,0.0,10.0,0.0,900.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.33015167713165283,0.019484431575983764,-0.31836414337158203,0.19549899975606772,0.0,0.0,0.0,0.0,0.0
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diff --git a/autosklearn/metalearning/files/recall_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_binary.classification_dense/algorithm_runs.arff
index f64886d029..7bf53fb7cc 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,382,0.4290171606864275,ok
-75119,1.0,3,0.0,ok
-75139,1.0,5,0.01590214067278284,ok
-75212,1.0,71,0.2304147465437788,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,425,0.060975609756097615,ok
-75092,1.0,38,0.019230769230769273,ok
-75239,1.0,15,0.0,ok
-75173,1.0,265,0.12,ok
-75215,1.0,359,0.015063168124392567,ok
-75171,1.0,19,0.15907393577296491,ok
-75112,1.0,23,0.2061383417315621,ok
-75227,1.0,190,0.1130268199233716,ok
-75233,1.0,102,0.028221512247071368,ok
-75182,1.0,26,0.15116811726981216,ok
-253,1.0,27,?,not_applicable
-75157,1.0,87,0.3113207547169812,ok
-75187,1.0,267,0.018425460636515956,ok
-75124,1.0,240,0.1920529801324503,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,183,0.0714285714285714,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.1329479768786127,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,41,0.138728323699422,ok
-75143,1.0,43,0.0009920634920634885,ok
-75196,1.0,44,0.0,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,57,0.0,ok
-75249,1.0,58,0.020408163265306145,ok
-75113,1.0,59,0.0,ok
-75126,1.0,61,0.01118568232662187,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,0.16125290023201855,ok
-75234,1.0,67,0.003278688524590123,ok
-258,1.0,73,?,not_applicable
-75166,1.0,283,0.05275056518462695,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.09671179883945846,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,229,0.1071428571428571,ok
-75146,1.0,88,0.09169811320754717,ok
-244,1.0,89,?,not_applicable
-75141,1.0,90,0.003669724770642202,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,213,0.023307933662034985,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.08536585365853655,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,109,0.12230874942739345,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,453,0.17639751552795035,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,121,0.06426355443935594,ok
-75099,1.0,125,0.11650485436893199,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.13590844062947072,ok
-233,1.0,134,0.0020408163265306367,ok
-75161,1.0,139,0.058408121229954424,ok
-75176,1.0,328,0.01335428122545168,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.15384615384615385,ok
-261,1.0,148,0.2727272727272727,ok
-75114,1.0,153,0.007518796992481258,ok
-75093,1.0,231,0.3338323353293413,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,170,0.2821543408360129,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.015934587263492728,ok
-75163,1.0,354,0.07427536231884058,ok
-2350,1.0,191,0.4111598574170551,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.011627906976744207,ok
-75095,1.0,284,0.012048192771084376,ok
-75108,1.0,207,0.0,ok
-75117,1.0,211,0.0064102564102563875,ok
-75191,1.0,217,0.1774941995359629,ok
-75226,1.0,219,0.0,ok
-75244,1.0,241,0.05641025641025643,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,0.004683840749414525,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,365,0.0002960423808039403,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,256,0.37264115290620037,ok
-75153,1.0,263,0.0870827285921626,ok
-75195,1.0,274,0.00037537537537535304,ok
-266,1.0,277,?,not_applicable
-75225,1.0,332,0.04166666666666663,ok
-75100,1.0,446,0.2857142857142857,ok
-75132,1.0,296,0.2324414715719063,ok
-75210,1.0,298,0.0,ok
-273,1.0,302,0.05254237288135588,ok
-75133,1.0,414,0.2272727272727273,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.0,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,370,0.0072289156626506035,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,377,0.10084033613445376,ok
-75103,1.0,380,0.0,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,398,0.0,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,418,0.2642140468227425,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,427,0.053580206455841384,ok
-75156,1.0,430,0.16913946587537088,ok
-75097,1.0,434,0.0,ok
-75101,1.0,438,0.24362907031618686,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,451,0.07815126050420174,ok
-75120,1.0,458,0.002044989775051076,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,382,0.4290171606864275,ok
+ova_omentum,1.0,3,0.0,ok
+pol,1.0,5,0.01590214067278284,ok
+colleges_usnews,1.0,71,0.2304147465437788,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,425,0.060975609756097615,ok
+pc4,1.0,38,0.019230769230769273,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,265,0.12,ok
+phishingwebsites,1.0,359,0.015063168124392567,ok
+puma8nh,1.0,19,0.15907393577296491,ok
+magictelescope,1.0,23,0.2061383417315621,ok
+phoneme,1.0,190,0.1130268199233716,ok
+cpu_act,1.0,102,0.028221512247071368,ok
+house_8l,1.0,26,0.15116811726981216,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,87,0.3113207547169812,ok
+twonorm,1.0,267,0.018425460636515956,ok
+bank-marketing,1.0,240,0.1920529801324503,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,183,0.0714285714285714,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.1329479768786127,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,0.138728323699422,ok
+analcatdata_supreme,1.0,43,0.0009920634920634885,ok
+colleges_aaup,1.0,44,0.0,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,57,0.0,ok
+hypothyroid,1.0,58,0.020408163265306145,ok
+sylva_prior,1.0,59,0.0,ok
+ova_ovary,1.0,61,0.01118568232662187,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,0.16125290023201855,ok
+ringnorm,1.0,67,0.003278688524590123,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,283,0.05275056518462695,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.09671179883945846,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,229,0.1071428571428571,ok
+ailerons,1.0,88,0.09169811320754717,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,0.003669724770642202,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,213,0.023307933662034985,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.08536585365853655,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,109,0.12230874942739345,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,453,0.17639751552795035,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,121,0.06426355443935594,ok
+kc1,1.0,125,0.11650485436893199,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.13590844062947072,ok
+kr-vs-kp,1.0,134,0.0020408163265306367,ok
+fried,1.0,139,0.058408121229954424,ok
+houses,1.0,328,0.01335428122545168,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.15384615384615385,ok
+credit-g,1.0,148,0.2727272727272727,ok
+ova_breast,1.0,153,0.007518796992481258,ok
+jm1,1.0,231,0.3338323353293413,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,170,0.2821543408360129,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.015934587263492728,ok
+delta_ailerons,1.0,354,0.07427536231884058,ok
+imdb.drama,1.0,191,0.4111598574170551,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.011627906976744207,ok
+wilt,1.0,284,0.012048192771084376,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,211,0.0064102564102563875,ok
+vehicle_sensit,1.0,217,0.1774941995359629,ok
+japanesevowels,1.0,219,0.0,ok
+ipums_la_99-small,1.0,241,0.05641025641025643,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,0.004683840749414525,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,365,0.0002960423808039403,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,256,0.37264115290620037,ok
+puma32h,1.0,263,0.0870827285921626,ok
+mv,1.0,274,0.00037537537537535304,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,332,0.04166666666666663,ok
+pc2,1.0,446,0.2857142857142857,ok
+click_prediction_small,1.0,296,0.2324414715719063,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,302,0.05254237288135588,ok
+mc1,1.0,414,0.2272727272727273,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.0,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,370,0.0072289156626506035,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,377,0.10084033613445376,ok
+sylva_agnostic,1.0,380,0.0,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,0.0,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,418,0.2642140468227425,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,427,0.053580206455841384,ok
+bioresponse,1.0,430,0.16913946587537088,ok
+amazon_employee_access,1.0,434,0.0,ok
+higgs,1.0,438,0.24362907031618686,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,451,0.07815126050420174,ok
+ova_endometrium,1.0,458,0.002044989775051076,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
-288,1.0,3e-05,2e-05,0.00033,5e-05,3e-05,0.00592,0.00492,4e-05,0.00071,5e-05,0.00039,2e-05,4e-05,4e-05,0.00015,0.00014,7e-05,3e-05,8e-05,4e-05,0.00029,3e-05,1e-05,7e-05,0.00018,0.00084,1e-05,1e-05,0.00024,0.00047,0.00011,0.00052,9e-05,8e-05,0.0001,0.00025,0.00076,0.00027,0.00012,0.00012,0.00025,0.0028
-3043,1.0,2e-05,1e-05,0.00013,2e-05,1e-05,0.00173,0.00137,2e-05,0.00027,2e-05,0.00013,1e-05,3e-05,3e-05,7e-05,7e-05,3e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00022,1e-05,1e-05,6e-05,0.00011,4e-05,0.00068,0.00012,0.00014,0.00015,0.00028,0.00049,6e-05,7e-05,0.00011,0.00025,0.00084
-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
-75092,1.0,1e-05,1e-05,7e-05,1e-05,1e-05,0.00086,0.00067,1e-05,0.00015,1e-05,7e-05,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00016,2e-05,1e-05,4e-05,9e-05,0.0005,0.0,0.0,0.00014,0.00028,7e-05,0.00057,9e-05,0.0001,0.00012,0.00026,0.00045,7e-05,9e-05,0.0001,0.0002,0.00058
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diff --git a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/recall_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_binary.classification_sparse/algorithm_runs.arff
index 7dee887737..e90c3e2267 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,308,0.4290171606864275,ok
-75119,1.0,3,0.0,ok
-75212,1.0,58,0.2304147465437788,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,340,0.060975609756097615,ok
-75092,1.0,31,0.038461538461538436,ok
-75239,1.0,13,0.0,ok
-75215,1.0,15,0.01603498542274051,ok
-75171,1.0,16,0.15907393577296491,ok
-75227,1.0,151,0.12068965517241381,ok
-75233,1.0,83,0.028221512247071368,ok
-75182,1.0,22,0.15116811726981216,ok
-253,1.0,23,?,not_applicable
-75157,1.0,70,0.3113207547169812,ok
-75124,1.0,194,0.23178807947019864,ok
-75222,1.0,144,0.1428571428571429,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,260,0.1368015414258189,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.138728323699422,ok
-75143,1.0,34,0.001984126984126977,ok
-75196,1.0,35,0.0,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,48,0.0,ok
-75249,1.0,49,0.020408163265306145,ok
-75113,1.0,50,0.0,ok
-75126,1.0,51,0.01342281879194629,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.16125290023201855,ok
-75234,1.0,56,0.02622950819672132,ok
-258,1.0,60,?,not_applicable
-75166,1.0,229,0.05275056518462695,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.11025145067698261,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,186,0.1071428571428571,ok
-244,1.0,71,?,not_applicable
-75141,1.0,131,0.044036697247706424,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,171,0.029134917077543676,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.08536585365853655,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.12230874942739345,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.17639751552795035,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.06500221598463585,ok
-75099,1.0,98,0.11650485436893199,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,103,0.13841201716738194,ok
-233,1.0,107,0.0020408163265306367,ok
-75161,1.0,109,0.06341032808592029,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,114,0.21153846153846156,ok
-261,1.0,115,0.2727272727272727,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,120,0.010025062656641603,ok
-75093,1.0,187,0.3338323353293413,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,135,0.2821543408360129,ok
-75139,1.0,313,0.017737003058103995,ok
-75146,1.0,140,0.09396226415094344,ok
-75189,1.0,145,0.014883444028948256,ok
-75163,1.0,150,0.07699275362318836,ok
-2350,1.0,155,0.4004661365505895,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.10465116279069764,ok
-75095,1.0,230,0.012048192771084376,ok
-75108,1.0,167,0.0,ok
-75117,1.0,169,0.0064102564102563875,ok
-75191,1.0,175,0.1774941995359629,ok
-75226,1.0,177,0.0017998560115191076,ok
-75244,1.0,195,0.08205128205128209,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,0.004683840749414525,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,208,0.37264115290620037,ok
-75153,1.0,215,0.0870827285921626,ok
-75173,1.0,217,0.12250000000000005,ok
-75187,1.0,218,0.018425460636515956,ok
-75195,1.0,223,0.0011261261261261701,ok
-75225,1.0,266,0.04166666666666663,ok
-75100,1.0,356,0.5714285714285714,ok
-75132,1.0,237,0.2324414715719063,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.06271186440677967,ok
-75133,1.0,333,0.2272727272727273,ok
-75121,1.0,244,0.0,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.0,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,292,0.0002960423808039403,ok
-75125,1.0,293,0.009638554216867434,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,303,0.18487394957983194,ok
-75103,1.0,306,0.0,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,0.0,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.23957856161245994,ok
-75105,1.0,336,0.2642140468227425,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,343,0.05661150253973457,ok
-75156,1.0,345,0.16913946587537088,ok
-75097,1.0,349,0.0,ok
-75101,1.0,352,0.24994100991033508,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,361,0.3294117647058824,ok
-75120,1.0,367,0.002044989775051076,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,308,0.4290171606864275,ok
+ova_omentum,1.0,3,0.0,ok
+colleges_usnews,1.0,58,0.2304147465437788,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,340,0.060975609756097615,ok
+pc4,1.0,31,0.038461538461538436,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,15,0.01603498542274051,ok
+puma8nh,1.0,16,0.15907393577296491,ok
+phoneme,1.0,151,0.12068965517241381,ok
+cpu_act,1.0,83,0.028221512247071368,ok
+house_8l,1.0,22,0.15116811726981216,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,70,0.3113207547169812,ok
+bank-marketing,1.0,194,0.23178807947019864,ok
+analcatdata_halloffame,1.0,144,0.1428571428571429,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,260,0.1368015414258189,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.138728323699422,ok
+analcatdata_supreme,1.0,34,0.001984126984126977,ok
+colleges_aaup,1.0,35,0.0,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,48,0.0,ok
+hypothyroid,1.0,49,0.020408163265306145,ok
+sylva_prior,1.0,50,0.0,ok
+ova_ovary,1.0,51,0.01342281879194629,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.16125290023201855,ok
+ringnorm,1.0,56,0.02622950819672132,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,229,0.05275056518462695,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.11025145067698261,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,186,0.1071428571428571,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,131,0.044036697247706424,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,171,0.029134917077543676,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.08536585365853655,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.12230874942739345,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.17639751552795035,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.06500221598463585,ok
+kc1,1.0,98,0.11650485436893199,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,0.13841201716738194,ok
+kr-vs-kp,1.0,107,0.0020408163265306367,ok
+fried,1.0,109,0.06341032808592029,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,0.21153846153846156,ok
+credit-g,1.0,115,0.2727272727272727,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,120,0.010025062656641603,ok
+jm1,1.0,187,0.3338323353293413,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,135,0.2821543408360129,ok
+pol,1.0,313,0.017737003058103995,ok
+ailerons,1.0,140,0.09396226415094344,ok
+codrna,1.0,145,0.014883444028948256,ok
+delta_ailerons,1.0,150,0.07699275362318836,ok
+imdb.drama,1.0,155,0.4004661365505895,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.10465116279069764,ok
+wilt,1.0,230,0.012048192771084376,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,169,0.0064102564102563875,ok
+vehicle_sensit,1.0,175,0.1774941995359629,ok
+japanesevowels,1.0,177,0.0017998560115191076,ok
+ipums_la_99-small,1.0,195,0.08205128205128209,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,0.004683840749414525,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,208,0.37264115290620037,ok
+puma32h,1.0,215,0.0870827285921626,ok
+delta_elevators,1.0,217,0.12250000000000005,ok
+twonorm,1.0,218,0.018425460636515956,ok
+mv,1.0,223,0.0011261261261261701,ok
+ozone-level-8hr,1.0,266,0.04166666666666663,ok
+pc2,1.0,356,0.5714285714285714,ok
+click_prediction_small,1.0,237,0.2324414715719063,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.06271186440677967,ok
+mc1,1.0,333,0.2272727272727273,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.0,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,292,0.0002960423808039403,ok
+ova_colon,1.0,293,0.009638554216867434,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,303,0.18487394957983194,ok
+sylva_agnostic,1.0,306,0.0,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,0.0,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.23957856161245994,ok
+kddcup09_appetency,1.0,336,0.2642140468227425,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,343,0.05661150253973457,ok
+bioresponse,1.0,345,0.16913946587537088,ok
+amazon_employee_access,1.0,349,0.0,ok
+higgs,1.0,352,0.24994100991033508,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,361,0.3294117647058824,ok
+ova_endometrium,1.0,367,0.002044989775051076,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
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diff --git a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/algorithm_runs.arff
index af74b42460..a7f81b05eb 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/algorithm_runs.arff
index 73b0d1dc62..85bd9d0b68 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+one-hundred-plants-margin,1.0,339,0.1626984126984128,ok
+adult,1.0,344,0.16851840850367505,ok
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+oh0.wc,1.0,357,0.07357976617051032,ok
+kddcup09_churn,1.0,361,0.33397433434510315,ok
+ova_endometrium,1.0,368,0.1501022494887525,ok
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/algorithm_runs.arff
index af74b42460..a7f81b05eb 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+kddcup09_appetency,1.0,418,0.2578602336574871,ok
+one-hundred-plants-margin,1.0,422,0.1626984126984128,ok
+adult,1.0,429,0.16851840850367505,ok
+bioresponse,1.0,430,0.20890365833733027,ok
+amazon_employee_access,1.0,437,0.22022348051074758,ok
+higgs,1.0,438,0.2704266856889155,ok
+oh0.wc,1.0,447,0.07357976617051032,ok
+kddcup09_churn,1.0,451,0.33189297926878125,ok
+ova_endometrium,1.0,459,0.1501022494887525,ok
+covertype,1.0,461,0.048015971884640574,ok
diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/algorithm_runs.arff
index 73b0d1dc62..85bd9d0b68 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/algorithm_runs.arff
index f4de6858fa..bf255a8fc2 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/algorithm_runs.arff
index b935e142cb..ad1898b056 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ipums_la_99-small,1.0,180,0.06374228923920489,ok
+semeion,1.0,182,0.030476190476190435,ok
+isolet,1.0,234,0.032258064516129004,ok
+ova_kidney,1.0,185,0.00982318271119842,ok
+kr-vs-k,1.0,190,0.14257939079714843,ok
+gesturephasesegmentationprocessed,1.0,196,0.3050951503990178,ok
+fbis.wc,1.0,200,0.13423645320197042,ok
+mfeat-morphological,1.0,203,0.2727272727272727,ok
+yeast,1.0,206,0.39672801635991817,ok
+airlines,1.0,209,0.3295748219061102,ok
+puma32h,1.0,215,0.08250092489826122,ok
+delta_elevators,1.0,216,0.11910828025477704,ok
+twonorm,1.0,218,0.01597051597051602,ok
+mv,1.0,223,0.000668995763026814,ok
+ozone-level-8hr,1.0,238,0.05023923444976075,ok
+pc2,1.0,232,0.00379609544468551,ok
+click_prediction_small,1.0,236,0.04472579479110339,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.04281949934123852,ok
+mc1,1.0,332,0.005443483829650986,ok
+ova_prostate,1.0,244,0.0019646365422396617,ok
+mnist_784,1.0,249,0.015194805194805205,ok
+ova_lung,1.0,254,0.013752455795677854,ok
+segment,1.0,258,0.018372703412073532,ok
+ldpa,1.0,275,0.005367351065198589,ok
+poker-hand,1.0,278,0.2653110698532455,ok
+la1s.wc,1.0,282,0.0832544938505203,ok
+abalone,1.0,289,0.3425253991291727,ok
+skin-segmentation,1.0,292,0.00034624326062226984,ok
+ova_colon,1.0,293,0.03339882121807469,ok
+satimage,1.0,316,0.08345120226308345,ok
+qsar-biodeg,1.0,300,0.14367816091954022,ok
+sylva_agnostic,1.0,306,0.005894736842105286,ok
+mfeat-factors,1.0,307,0.009090909090909038,ok
+one-hundred-plants-shape,1.0,312,0.30492424242424243,ok
+kdd_ipums_la_97-small,1.0,321,0.021588946459412783,ok
+new3s.wc,1.0,326,0.09511731135066581,ok
+la2s.wc,1.0,329,0.07495069033530577,ok
+magictelescope,1.0,331,0.1210962396430848,ok
+kddcup09_appetency,1.0,334,0.018121212121212094,ok
+one-hundred-plants-margin,1.0,339,0.16666666666666663,ok
+adult,1.0,343,0.14450580132779056,ok
+bioresponse,1.0,345,0.20533548908649957,ok
+amazon_employee_access,1.0,350,0.049569962082678276,ok
+higgs,1.0,352,0.27596118185189766,ok
+oh0.wc,1.0,357,0.0696969696969697,ok
+kddcup09_churn,1.0,359,0.07163636363636361,ok
+ova_endometrium,1.0,367,0.035363457760314354,ok
+covertype,1.0,371,0.031804645001121346,ok
diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/algorithm_runs.arff
index f4de6858fa..bf255a8fc2 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75178,1.0,11,0.7428689826645487,ok
-75177,1.0,13,0.008038585209003246,ok
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/algorithm_runs.arff
index b935e142cb..ad1898b056 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_multiclass.classification_dense/algorithm_runs.arff
index f64886d029..7bf53fb7cc 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,382,0.4290171606864275,ok
-75119,1.0,3,0.0,ok
-75139,1.0,5,0.01590214067278284,ok
-75212,1.0,71,0.2304147465437788,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,425,0.060975609756097615,ok
-75092,1.0,38,0.019230769230769273,ok
-75239,1.0,15,0.0,ok
-75173,1.0,265,0.12,ok
-75215,1.0,359,0.015063168124392567,ok
-75171,1.0,19,0.15907393577296491,ok
-75112,1.0,23,0.2061383417315621,ok
-75227,1.0,190,0.1130268199233716,ok
-75233,1.0,102,0.028221512247071368,ok
-75182,1.0,26,0.15116811726981216,ok
-253,1.0,27,?,not_applicable
-75157,1.0,87,0.3113207547169812,ok
-75187,1.0,267,0.018425460636515956,ok
-75124,1.0,240,0.1920529801324503,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,183,0.0714285714285714,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,325,0.1329479768786127,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,41,0.138728323699422,ok
-75143,1.0,43,0.0009920634920634885,ok
-75196,1.0,44,0.0,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,57,0.0,ok
-75249,1.0,58,0.020408163265306145,ok
-75113,1.0,59,0.0,ok
-75126,1.0,61,0.01118568232662187,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,0.16125290023201855,ok
-75234,1.0,67,0.003278688524590123,ok
-258,1.0,73,?,not_applicable
-75166,1.0,283,0.05275056518462695,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.09671179883945846,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,229,0.1071428571428571,ok
-75146,1.0,88,0.09169811320754717,ok
-244,1.0,89,?,not_applicable
-75141,1.0,90,0.003669724770642202,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,213,0.023307933662034985,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.08536585365853655,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,109,0.12230874942739345,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,453,0.17639751552795035,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,121,0.06426355443935594,ok
-75099,1.0,125,0.11650485436893199,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,259,0.13590844062947072,ok
-233,1.0,134,0.0020408163265306367,ok
-75161,1.0,139,0.058408121229954424,ok
-75176,1.0,328,0.01335428122545168,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.15384615384615385,ok
-261,1.0,148,0.2727272727272727,ok
-75114,1.0,153,0.007518796992481258,ok
-75093,1.0,231,0.3338323353293413,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,170,0.2821543408360129,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.015934587263492728,ok
-75163,1.0,354,0.07427536231884058,ok
-2350,1.0,191,0.4111598574170551,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.011627906976744207,ok
-75095,1.0,284,0.012048192771084376,ok
-75108,1.0,207,0.0,ok
-75117,1.0,211,0.0064102564102563875,ok
-75191,1.0,217,0.1774941995359629,ok
-75226,1.0,219,0.0,ok
-75244,1.0,241,0.05641025641025643,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,0.004683840749414525,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,365,0.0002960423808039403,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,256,0.37264115290620037,ok
-75153,1.0,263,0.0870827285921626,ok
-75195,1.0,274,0.00037537537537535304,ok
-266,1.0,277,?,not_applicable
-75225,1.0,332,0.04166666666666663,ok
-75100,1.0,446,0.2857142857142857,ok
-75132,1.0,296,0.2324414715719063,ok
-75210,1.0,298,0.0,ok
-273,1.0,302,0.05254237288135588,ok
-75133,1.0,414,0.2272727272727273,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.0,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,370,0.0072289156626506035,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,377,0.10084033613445376,ok
-75103,1.0,380,0.0,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,398,0.0,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,418,0.2642140468227425,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,427,0.053580206455841384,ok
-75156,1.0,430,0.16913946587537088,ok
-75097,1.0,434,0.0,ok
-75101,1.0,438,0.24362907031618686,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,451,0.07815126050420174,ok
-75120,1.0,458,0.002044989775051076,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,382,0.4290171606864275,ok
+ova_omentum,1.0,3,0.0,ok
+pol,1.0,5,0.01590214067278284,ok
+colleges_usnews,1.0,71,0.2304147465437788,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,425,0.060975609756097615,ok
+pc4,1.0,38,0.019230769230769273,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,265,0.12,ok
+phishingwebsites,1.0,359,0.015063168124392567,ok
+puma8nh,1.0,19,0.15907393577296491,ok
+magictelescope,1.0,23,0.2061383417315621,ok
+phoneme,1.0,190,0.1130268199233716,ok
+cpu_act,1.0,102,0.028221512247071368,ok
+house_8l,1.0,26,0.15116811726981216,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,87,0.3113207547169812,ok
+twonorm,1.0,267,0.018425460636515956,ok
+bank-marketing,1.0,240,0.1920529801324503,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,183,0.0714285714285714,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,325,0.1329479768786127,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,0.138728323699422,ok
+analcatdata_supreme,1.0,43,0.0009920634920634885,ok
+colleges_aaup,1.0,44,0.0,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,57,0.0,ok
+hypothyroid,1.0,58,0.020408163265306145,ok
+sylva_prior,1.0,59,0.0,ok
+ova_ovary,1.0,61,0.01118568232662187,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,0.16125290023201855,ok
+ringnorm,1.0,67,0.003278688524590123,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,283,0.05275056518462695,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.09671179883945846,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,229,0.1071428571428571,ok
+ailerons,1.0,88,0.09169811320754717,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,0.003669724770642202,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,213,0.023307933662034985,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.08536585365853655,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,109,0.12230874942739345,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,453,0.17639751552795035,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,121,0.06426355443935594,ok
+kc1,1.0,125,0.11650485436893199,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,259,0.13590844062947072,ok
+kr-vs-kp,1.0,134,0.0020408163265306367,ok
+fried,1.0,139,0.058408121229954424,ok
+houses,1.0,328,0.01335428122545168,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.15384615384615385,ok
+credit-g,1.0,148,0.2727272727272727,ok
+ova_breast,1.0,153,0.007518796992481258,ok
+jm1,1.0,231,0.3338323353293413,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,170,0.2821543408360129,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.015934587263492728,ok
+delta_ailerons,1.0,354,0.07427536231884058,ok
+imdb.drama,1.0,191,0.4111598574170551,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.011627906976744207,ok
+wilt,1.0,284,0.012048192771084376,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,211,0.0064102564102563875,ok
+vehicle_sensit,1.0,217,0.1774941995359629,ok
+japanesevowels,1.0,219,0.0,ok
+ipums_la_99-small,1.0,241,0.05641025641025643,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,0.004683840749414525,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,365,0.0002960423808039403,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,256,0.37264115290620037,ok
+puma32h,1.0,263,0.0870827285921626,ok
+mv,1.0,274,0.00037537537537535304,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,332,0.04166666666666663,ok
+pc2,1.0,446,0.2857142857142857,ok
+click_prediction_small,1.0,296,0.2324414715719063,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,302,0.05254237288135588,ok
+mc1,1.0,414,0.2272727272727273,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.0,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,370,0.0072289156626506035,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,377,0.10084033613445376,ok
+sylva_agnostic,1.0,380,0.0,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,0.0,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,418,0.2642140468227425,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,427,0.053580206455841384,ok
+bioresponse,1.0,430,0.16913946587537088,ok
+amazon_employee_access,1.0,434,0.0,ok
+higgs,1.0,438,0.24362907031618686,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,451,0.07815126050420174,ok
+ova_endometrium,1.0,458,0.002044989775051076,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
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-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
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-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
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-75097,1.0,3e-05,2e-05,0.00078,3e-05,2e-05,0.02319,0.02025,2e-05,0.0024,2e-05,0.00059,1e-05,3e-05,3e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00028,4e-05,1e-05,6e-05,0.00017,0.00051,1e-05,1e-05,0.0001,0.00026,0.00012,0.00051,7e-05,9e-05,0.00014,0.0002,0.00126,0.00021,0.00021,0.00026,0.00058,0.0149
-75098,1.0,4e-05,1e-05,0.0023,2e-05,2e-05,0.22445,0.08459,6e-05,0.06702,8e-05,0.07298,1e-05,0.00014,0.00016,0.00021,0.00015,0.00012,1e-05,0.00014,2e-05,0.0002,2e-05,1e-05,4e-05,0.00014,0.00046,0.0,0.0,0.00014,0.00025,6e-05,0.00054,9e-05,0.0001,0.00012,0.00024,0.00066,0.00019,0.0001,0.00013,0.00024,0.02063
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diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/algorithm_runs.arff
index 7dee887737..e90c3e2267 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75119,1.0,3,0.0,ok
-75212,1.0,58,0.2304147465437788,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,340,0.060975609756097615,ok
-75092,1.0,31,0.038461538461538436,ok
-75239,1.0,13,0.0,ok
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-75233,1.0,83,0.028221512247071368,ok
-75182,1.0,22,0.15116811726981216,ok
-253,1.0,23,?,not_applicable
-75157,1.0,70,0.3113207547169812,ok
-75124,1.0,194,0.23178807947019864,ok
-75222,1.0,144,0.1428571428571429,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,260,0.1368015414258189,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,33,0.138728323699422,ok
-75143,1.0,34,0.001984126984126977,ok
-75196,1.0,35,0.0,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,48,0.0,ok
-75249,1.0,49,0.020408163265306145,ok
-75113,1.0,50,0.0,ok
-75126,1.0,51,0.01342281879194629,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.16125290023201855,ok
-75234,1.0,56,0.02622950819672132,ok
-258,1.0,60,?,not_applicable
-75166,1.0,229,0.05275056518462695,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.11025145067698261,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,186,0.1071428571428571,ok
-244,1.0,71,?,not_applicable
-75141,1.0,131,0.044036697247706424,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,171,0.029134917077543676,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.08536585365853655,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.12230874942739345,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.17639751552795035,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.06500221598463585,ok
-75099,1.0,98,0.11650485436893199,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,103,0.13841201716738194,ok
-233,1.0,107,0.0020408163265306367,ok
-75161,1.0,109,0.06341032808592029,ok
-75176,1.0,110,0.014139827179890041,ok
-262,1.0,113,?,not_applicable
-75129,1.0,114,0.21153846153846156,ok
-261,1.0,115,0.2727272727272727,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,120,0.010025062656641603,ok
-75093,1.0,187,0.3338323353293413,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,135,0.2821543408360129,ok
-75139,1.0,313,0.017737003058103995,ok
-75146,1.0,140,0.09396226415094344,ok
-75189,1.0,145,0.014883444028948256,ok
-75163,1.0,150,0.07699275362318836,ok
-2350,1.0,155,0.4004661365505895,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.10465116279069764,ok
-75095,1.0,230,0.012048192771084376,ok
-75108,1.0,167,0.0,ok
-75117,1.0,169,0.0064102564102563875,ok
-75191,1.0,175,0.1774941995359629,ok
-75226,1.0,177,0.0017998560115191076,ok
-75244,1.0,195,0.08205128205128209,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,0.004683840749414525,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,208,0.37264115290620037,ok
-75153,1.0,215,0.0870827285921626,ok
-75173,1.0,217,0.12250000000000005,ok
-75187,1.0,218,0.018425460636515956,ok
-75195,1.0,223,0.0011261261261261701,ok
-75225,1.0,266,0.04166666666666663,ok
-75100,1.0,356,0.5714285714285714,ok
-75132,1.0,237,0.2324414715719063,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.06271186440677967,ok
-75133,1.0,333,0.2272727272727273,ok
-75121,1.0,244,0.0,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.0,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,292,0.0002960423808039403,ok
-75125,1.0,293,0.009638554216867434,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,303,0.18487394957983194,ok
-75103,1.0,306,0.0,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,0.0,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.23957856161245994,ok
-75105,1.0,336,0.2642140468227425,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,343,0.05661150253973457,ok
-75156,1.0,345,0.16913946587537088,ok
-75097,1.0,349,0.0,ok
-75101,1.0,352,0.24994100991033508,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,361,0.3294117647058824,ok
-75120,1.0,367,0.002044989775051076,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,308,0.4290171606864275,ok
+ova_omentum,1.0,3,0.0,ok
+colleges_usnews,1.0,58,0.2304147465437788,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,340,0.060975609756097615,ok
+pc4,1.0,31,0.038461538461538436,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,15,0.01603498542274051,ok
+puma8nh,1.0,16,0.15907393577296491,ok
+phoneme,1.0,151,0.12068965517241381,ok
+cpu_act,1.0,83,0.028221512247071368,ok
+house_8l,1.0,22,0.15116811726981216,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,70,0.3113207547169812,ok
+bank-marketing,1.0,194,0.23178807947019864,ok
+analcatdata_halloffame,1.0,144,0.1428571428571429,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,260,0.1368015414258189,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,0.138728323699422,ok
+analcatdata_supreme,1.0,34,0.001984126984126977,ok
+colleges_aaup,1.0,35,0.0,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,48,0.0,ok
+hypothyroid,1.0,49,0.020408163265306145,ok
+sylva_prior,1.0,50,0.0,ok
+ova_ovary,1.0,51,0.01342281879194629,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.16125290023201855,ok
+ringnorm,1.0,56,0.02622950819672132,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,229,0.05275056518462695,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.11025145067698261,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,186,0.1071428571428571,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,131,0.044036697247706424,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,171,0.029134917077543676,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.08536585365853655,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.12230874942739345,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.17639751552795035,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.06500221598463585,ok
+kc1,1.0,98,0.11650485436893199,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,0.13841201716738194,ok
+kr-vs-kp,1.0,107,0.0020408163265306367,ok
+fried,1.0,109,0.06341032808592029,ok
+houses,1.0,110,0.014139827179890041,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,0.21153846153846156,ok
+credit-g,1.0,115,0.2727272727272727,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,120,0.010025062656641603,ok
+jm1,1.0,187,0.3338323353293413,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,135,0.2821543408360129,ok
+pol,1.0,313,0.017737003058103995,ok
+ailerons,1.0,140,0.09396226415094344,ok
+codrna,1.0,145,0.014883444028948256,ok
+delta_ailerons,1.0,150,0.07699275362318836,ok
+imdb.drama,1.0,155,0.4004661365505895,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.10465116279069764,ok
+wilt,1.0,230,0.012048192771084376,ok
+musk,1.0,167,0.0,ok
+ova_uterus,1.0,169,0.0064102564102563875,ok
+vehicle_sensit,1.0,175,0.1774941995359629,ok
+japanesevowels,1.0,177,0.0017998560115191076,ok
+ipums_la_99-small,1.0,195,0.08205128205128209,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,0.004683840749414525,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,208,0.37264115290620037,ok
+puma32h,1.0,215,0.0870827285921626,ok
+delta_elevators,1.0,217,0.12250000000000005,ok
+twonorm,1.0,218,0.018425460636515956,ok
+mv,1.0,223,0.0011261261261261701,ok
+ozone-level-8hr,1.0,266,0.04166666666666663,ok
+pc2,1.0,356,0.5714285714285714,ok
+click_prediction_small,1.0,237,0.2324414715719063,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.06271186440677967,ok
+mc1,1.0,333,0.2272727272727273,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.0,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,292,0.0002960423808039403,ok
+ova_colon,1.0,293,0.009638554216867434,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,303,0.18487394957983194,ok
+sylva_agnostic,1.0,306,0.0,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,0.0,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.23957856161245994,ok
+kddcup09_appetency,1.0,336,0.2642140468227425,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,343,0.05661150253973457,ok
+bioresponse,1.0,345,0.16913946587537088,ok
+amazon_employee_access,1.0,349,0.0,ok
+higgs,1.0,352,0.24994100991033508,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,361,0.3294117647058824,ok
+ova_endometrium,1.0,367,0.002044989775051076,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+one-hundred-plants-texture,1.0,6.620420668885037,0.013059701492537313,0.01,0.005597014925373134,0.0017703248006382775,0.05970149253731343,16.75,115.78911590576172,15.754332467913628,0.9003109931945801,18.061812803398542,-2.8183982582710754,2.8183982582710754,4.1588830833596715,6.977281341630747,0.0,100.0,64.0,0.0,1072.0,0.0,0.0,64.0,0.0,0.0,0.0,0.0,0.0,8.885228157043457,3.1392695950344205,0.9206903576850891,1.4797961507751884,0.0,0.0,0.0,0.0,0.0
+qsar-biodeg,1.0,0.9201702027239149,0.6647807637906648,0.5,0.3352192362093352,0.16478076379066478,0.05799151343705799,17.24390243902439,585.4510498046875,41.48030315044416,-0.2529125213623047,95.17568446650067,-2.847458599192265,2.8474585991922647,3.713572066704308,6.561030665896573,0.0,2.0,41.0,0.0,707.0,0.0,0.0,41.0,0.0,0.0,0.0,0.0,0.0,23.23834228515625,3.832647103316537,-1.5003634691238403,4.508387764393873,0.0,0.0,0.0,0.0,0.0
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+ringnorm,1.0,0.9998393017810485,0.5074626865671642,0.5,0.4925373134328358,0.007462686567164201,0.004033884630899556,247.9,1.9309582710266113,1.5332300662994385,1.3253521919250488,0.13647900129618118,-5.513025439041145,5.513025439041145,2.995732273553991,8.508757712595136,0.0,2.0,20.0,0.0,4958.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,-0.1076231524348259,-0.23315090499818325,-0.33683285117149353,0.052567253463639066,0.0,0.0,0.0,0.0,0.0
+wall-robot-navigation,1.0,1.7067919449664923,0.4105579868708972,0.25,0.05579868708971553,0.1492903085996621,0.006564551422319475,152.33333333333334,13.76956558227539,2.346758103856697,-1.6145207422400454,4.524616106763882,-5.026071102226095,5.026071102226095,3.1780538303479458,8.204124932574041,0.0,4.0,24.0,0.0,3656.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,3.779214382171631,1.515954251983203,0.004355928860604763,1.0657977665170062,0.0,0.0,0.0,0.0,0.0
+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
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+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/algorithm_runs.arff
index 4176a9b9a8..c801f51140 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
-266,1.0,3e-05,2e-05,0.0001,1e-05,1e-05,0.00129,0.0011,1e-05,0.00014,1e-05,7e-05,1e-05,2e-05,2e-05,5e-05,8e-05,3e-05,1e-05,5e-05,1e-05,0.00028,2e-05,1e-05,8e-05,0.00016,0.00083,1e-05,1e-05,0.00027,0.00045,0.0001,0.00053,8e-05,9e-05,0.00017,0.0002,0.00043,7e-05,7e-05,9e-05,0.0002,0.00078
-273,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00259,0.00201,1e-05,0.00038,1e-05,0.00023,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,6e-05,2e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00042,0.0,0.0,0.00012,0.00024,5e-05,0.00047,7e-05,9e-05,0.0001,0.00021,0.00054,7e-05,0.00012,0.00011,0.00024,0.00123
-275,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00218,0.00154,1e-05,0.00047,2e-05,0.0002,1e-05,2e-05,2e-05,7e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.00034,2e-05,1e-05,7e-05,0.00019,5e-05,0.00055,9e-05,9e-05,0.00015,0.00023,0.00053,8e-05,9e-05,0.00014,0.00021,0.00089
-288,1.0,3e-05,2e-05,0.00033,5e-05,3e-05,0.00592,0.00492,4e-05,0.00071,5e-05,0.00039,2e-05,4e-05,4e-05,0.00015,0.00014,7e-05,3e-05,8e-05,4e-05,0.00029,3e-05,1e-05,7e-05,0.00018,0.00084,1e-05,1e-05,0.00024,0.00047,0.00011,0.00052,9e-05,8e-05,0.0001,0.00025,0.00076,0.00027,0.00012,0.00012,0.00025,0.0028
-3043,1.0,2e-05,1e-05,0.00013,2e-05,1e-05,0.00173,0.00137,2e-05,0.00027,2e-05,0.00013,1e-05,3e-05,3e-05,7e-05,7e-05,3e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00022,1e-05,1e-05,6e-05,0.00011,4e-05,0.00068,0.00012,0.00014,0.00015,0.00028,0.00049,6e-05,7e-05,0.00011,0.00025,0.00084
-75090,1.0,2e-05,1e-05,0.00014,3e-05,2e-05,0.01282,0.00498,9e-05,0.00437,0.00011,0.00368,1e-05,8e-05,8e-05,0.0002,0.00019,0.00014,1e-05,0.00019,2e-05,0.0002,2e-05,1e-05,5e-05,0.00012,0.00062,0.0,0.0,0.00017,0.00035,9e-05,0.00107,0.00018,0.00021,0.00024,0.00043,0.00213,0.00027,0.00026,0.00059,0.00101,0.00178
-75092,1.0,1e-05,1e-05,7e-05,1e-05,1e-05,0.00086,0.00067,1e-05,0.00015,1e-05,7e-05,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00016,2e-05,1e-05,4e-05,9e-05,0.0005,0.0,0.0,0.00014,0.00028,7e-05,0.00057,9e-05,0.0001,0.00012,0.00026,0.00045,7e-05,9e-05,0.0001,0.0002,0.00058
-75093,1.0,4e-05,4e-05,0.00049,3e-05,2e-05,0.00845,0.0071,3e-05,0.00079,3e-05,0.00063,1e-05,3e-05,3e-05,8e-05,0.00014,4e-05,2e-05,9e-05,5e-05,0.00031,3e-05,1e-05,6e-05,0.00022,0.00068,0.0,1e-05,0.0002,0.00037,9e-05,0.00066,0.00011,8e-05,0.00014,0.00034,0.00043,7e-05,8e-05,9e-05,0.00019,0.00465
-75095,1.0,1e-05,1e-05,0.0001,2e-05,1e-05,0.00205,0.00187,1e-05,0.00017,2e-05,5e-05,1e-05,3e-05,2e-05,5e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00046,0.0,0.0,0.00014,0.00025,6e-05,0.00038,8e-05,6e-05,8e-05,0.00016,0.00041,6e-05,7e-05,9e-05,0.00019,0.00119
-75096,1.0,1e-05,1e-05,0.02128,2e-05,1e-05,0.38077,0.34553,1e-05,0.02603,1e-05,0.00924,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,3e-05,2e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00067,1e-05,1e-05,0.00021,0.00036,9e-05,0.0004,6e-05,6e-05,8e-05,0.00019,0.00046,6e-05,7e-05,9e-05,0.00024,0.44323
-75097,1.0,3e-05,2e-05,0.00078,3e-05,2e-05,0.02319,0.02025,2e-05,0.0024,2e-05,0.00059,1e-05,3e-05,3e-05,7e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00028,4e-05,1e-05,6e-05,0.00017,0.00051,1e-05,1e-05,0.0001,0.00026,0.00012,0.00051,7e-05,9e-05,0.00014,0.0002,0.00126,0.00021,0.00021,0.00026,0.00058,0.0149
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diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/algorithm_runs.arff
index 3d31fb4274..a4bfded567 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
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diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_samples_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+semeion,1.0,3.3208751934243548,0.10486891385767791,0.1,0.09363295880149813,0.003810297743328803,0.2397003745318352,4.171875,22.422517776489258,-0.9225467168815645,-1.9997756481170654,1.9352856443240884,-1.4283655750405777,1.4283655750405777,5.545177444479562,6.97354301952014,0.0,10.0,256.0,0.0,1068.0,0.0,0.0,256.0,0.0,0.0,0.0,0.0,0.0,4.94191312789917,0.8186543448100565,-0.6194983720779419,0.6381679017395948,0.0,0.0,0.0,0.0,0.0
+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/algorithm_runs.arff
index 4176a9b9a8..c801f51140 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75139,1.0,5,?,not_applicable
-75212,1.0,6,?,not_applicable
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,?,not_applicable
-75092,1.0,14,?,not_applicable
-75239,1.0,15,?,not_applicable
-75173,1.0,17,?,not_applicable
-75215,1.0,18,?,not_applicable
-75171,1.0,19,?,not_applicable
-75112,1.0,23,?,not_applicable
-75227,1.0,24,?,not_applicable
-75233,1.0,25,?,not_applicable
-75182,1.0,26,?,not_applicable
-253,1.0,27,?,not_applicable
-75157,1.0,29,?,not_applicable
-75187,1.0,30,?,not_applicable
-75124,1.0,31,?,not_applicable
-75090,1.0,32,?,not_applicable
-75222,1.0,33,?,not_applicable
-75231,1.0,34,?,not_applicable
-75185,1.0,37,?,not_applicable
-2123,1.0,39,?,not_applicable
-75150,1.0,41,?,not_applicable
-75143,1.0,43,?,not_applicable
-75196,1.0,44,?,not_applicable
-75188,1.0,49,?,not_applicable
-75248,1.0,54,?,not_applicable
-75249,1.0,58,?,not_applicable
-75113,1.0,59,?,not_applicable
-75126,1.0,60,?,not_applicable
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,66,?,not_applicable
-75234,1.0,67,?,not_applicable
-258,1.0,73,?,not_applicable
-75166,1.0,76,?,not_applicable
-75168,1.0,77,?,not_applicable
-75148,1.0,80,?,not_applicable
-75235,1.0,81,?,not_applicable
-75159,1.0,84,?,not_applicable
-75146,1.0,88,?,not_applicable
-244,1.0,89,?,not_applicable
-75141,1.0,90,?,not_applicable
-75221,1.0,92,?,not_applicable
-75219,1.0,95,?,not_applicable
-75202,1.0,96,?,not_applicable
-3043,1.0,98,?,not_applicable
-75205,1.0,103,?,not_applicable
-75174,1.0,106,?,not_applicable
-75250,1.0,111,?,not_applicable
-75179,1.0,114,?,not_applicable
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,?,not_applicable
-75099,1.0,123,?,not_applicable
-75243,1.0,126,?,not_applicable
-75175,1.0,132,?,not_applicable
-233,1.0,134,?,not_applicable
-75161,1.0,139,?,not_applicable
-75176,1.0,143,?,not_applicable
-262,1.0,146,?,not_applicable
-75129,1.0,147,?,not_applicable
-261,1.0,148,?,not_applicable
-75114,1.0,152,?,not_applicable
-75093,1.0,157,?,not_applicable
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,?,not_applicable
-75107,1.0,167,?,not_applicable
-75181,1.0,175,?,not_applicable
-75189,1.0,184,?,not_applicable
-75163,1.0,189,?,not_applicable
-2350,1.0,191,?,not_applicable
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,201,?,not_applicable
-75095,1.0,203,?,not_applicable
-75108,1.0,207,?,not_applicable
-75117,1.0,211,?,not_applicable
-75191,1.0,216,?,not_applicable
-75226,1.0,219,?,not_applicable
-75244,1.0,222,?,not_applicable
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,228,?,not_applicable
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,248,?,not_applicable
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,?,not_applicable
-75153,1.0,260,?,not_applicable
-75195,1.0,271,?,not_applicable
-266,1.0,277,?,not_applicable
-75225,1.0,279,?,not_applicable
-75100,1.0,286,?,not_applicable
-75132,1.0,293,?,not_applicable
-75210,1.0,298,?,not_applicable
-273,1.0,300,?,not_applicable
-75133,1.0,303,?,not_applicable
-75121,1.0,304,?,not_applicable
-75098,1.0,310,?,not_applicable
-75115,1.0,315,?,not_applicable
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,367,?,not_applicable
-2120,1.0,371,?,not_applicable
-75232,1.0,374,?,not_applicable
-75103,1.0,378,?,not_applicable
-75230,1.0,386,?,not_applicable
-75240,1.0,398,?,not_applicable
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,?,not_applicable
-75154,1.0,420,?,not_applicable
-2117,1.0,426,?,not_applicable
-75156,1.0,430,?,not_applicable
-75097,1.0,434,?,not_applicable
-75101,1.0,438,?,not_applicable
-75172,1.0,443,?,not_applicable
-75106,1.0,448,?,not_applicable
-75120,1.0,456,?,not_applicable
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+pol,1.0,5,?,not_applicable
+colleges_usnews,1.0,6,?,not_applicable
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,?,not_applicable
+pc4,1.0,14,?,not_applicable
+steel-plates-fault,1.0,15,?,not_applicable
+delta_elevators,1.0,17,?,not_applicable
+phishingwebsites,1.0,18,?,not_applicable
+puma8nh,1.0,19,?,not_applicable
+magictelescope,1.0,23,?,not_applicable
+phoneme,1.0,24,?,not_applicable
+cpu_act,1.0,25,?,not_applicable
+house_8l,1.0,26,?,not_applicable
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,?,not_applicable
+twonorm,1.0,30,?,not_applicable
+bank-marketing,1.0,31,?,not_applicable
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,33,?,not_applicable
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,?,not_applicable
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,41,?,not_applicable
+analcatdata_supreme,1.0,43,?,not_applicable
+colleges_aaup,1.0,44,?,not_applicable
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,?,not_applicable
+hypothyroid,1.0,58,?,not_applicable
+sylva_prior,1.0,59,?,not_applicable
+ova_ovary,1.0,60,?,not_applicable
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,66,?,not_applicable
+ringnorm,1.0,67,?,not_applicable
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,76,?,not_applicable
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,80,?,not_applicable
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,84,?,not_applicable
+ailerons,1.0,88,?,not_applicable
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,90,?,not_applicable
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,95,?,not_applicable
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,98,?,not_applicable
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,?,not_applicable
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,114,?,not_applicable
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,?,not_applicable
+kc1,1.0,123,?,not_applicable
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,132,?,not_applicable
+kr-vs-kp,1.0,134,?,not_applicable
+fried,1.0,139,?,not_applicable
+houses,1.0,143,?,not_applicable
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,?,not_applicable
+credit-g,1.0,148,?,not_applicable
+ova_breast,1.0,152,?,not_applicable
+jm1,1.0,157,?,not_applicable
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,?,not_applicable
+kddcup09_upselling,1.0,167,?,not_applicable
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,184,?,not_applicable
+delta_ailerons,1.0,189,?,not_applicable
+imdb.drama,1.0,191,?,not_applicable
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,201,?,not_applicable
+wilt,1.0,203,?,not_applicable
+musk,1.0,207,?,not_applicable
+ova_uterus,1.0,211,?,not_applicable
+vehicle_sensit,1.0,216,?,not_applicable
+japanesevowels,1.0,219,?,not_applicable
+ipums_la_99-small,1.0,222,?,not_applicable
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,228,?,not_applicable
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,248,?,not_applicable
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,?,not_applicable
+puma32h,1.0,260,?,not_applicable
+mv,1.0,271,?,not_applicable
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,?,not_applicable
+pc2,1.0,286,?,not_applicable
+click_prediction_small,1.0,293,?,not_applicable
+visualizing_soil,1.0,298,?,not_applicable
+spambase,1.0,300,?,not_applicable
+mc1,1.0,303,?,not_applicable
+ova_prostate,1.0,304,?,not_applicable
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,?,not_applicable
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,367,?,not_applicable
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,?,not_applicable
+sylva_agnostic,1.0,378,?,not_applicable
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,398,?,not_applicable
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,?,not_applicable
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,426,?,not_applicable
+bioresponse,1.0,430,?,not_applicable
+amazon_employee_access,1.0,434,?,not_applicable
+higgs,1.0,438,?,not_applicable
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,448,?,not_applicable
+ova_endometrium,1.0,456,?,not_applicable
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
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diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/algorithm_runs.arff
index 3d31fb4274..a4bfded567 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,?,not_applicable
-75119,1.0,2,?,not_applicable
-75212,1.0,5,?,not_applicable
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,?,not_applicable
-75092,1.0,12,?,not_applicable
-75239,1.0,13,?,not_applicable
-75215,1.0,15,?,not_applicable
-75171,1.0,16,?,not_applicable
-75227,1.0,20,?,not_applicable
-75233,1.0,21,?,not_applicable
-75182,1.0,22,?,not_applicable
-253,1.0,23,?,not_applicable
-75157,1.0,25,?,not_applicable
-75124,1.0,26,?,not_applicable
-75222,1.0,27,?,not_applicable
-75231,1.0,28,?,not_applicable
-75185,1.0,30,?,not_applicable
-2123,1.0,32,?,not_applicable
-75150,1.0,33,?,not_applicable
-75143,1.0,34,?,not_applicable
-75196,1.0,35,?,not_applicable
-75188,1.0,40,?,not_applicable
-75248,1.0,45,?,not_applicable
-75249,1.0,49,?,not_applicable
-75113,1.0,50,?,not_applicable
-75126,1.0,51,?,not_applicable
-251,1.0,53,?,not_applicable
-75184,1.0,54,?,not_applicable
-75234,1.0,55,?,not_applicable
-258,1.0,60,?,not_applicable
-75166,1.0,62,?,not_applicable
-75168,1.0,63,?,not_applicable
-75148,1.0,66,?,not_applicable
-75235,1.0,67,?,not_applicable
-75159,1.0,68,?,not_applicable
-244,1.0,71,?,not_applicable
-75141,1.0,72,?,not_applicable
-75221,1.0,74,?,not_applicable
-75219,1.0,76,?,not_applicable
-75202,1.0,77,?,not_applicable
-3043,1.0,79,?,not_applicable
-75205,1.0,84,?,not_applicable
-75174,1.0,87,?,not_applicable
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,91,?,not_applicable
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,94,?,not_applicable
-75099,1.0,98,?,not_applicable
-75243,1.0,99,?,not_applicable
-75175,1.0,103,?,not_applicable
-233,1.0,104,?,not_applicable
-75161,1.0,108,?,not_applicable
-75176,1.0,110,?,not_applicable
-262,1.0,113,?,not_applicable
-75129,1.0,114,?,not_applicable
-261,1.0,115,?,not_applicable
-75090,1.0,116,?,not_applicable
-75114,1.0,118,?,not_applicable
-75093,1.0,123,?,not_applicable
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,?,not_applicable
-75107,1.0,133,?,not_applicable
-75139,1.0,137,?,not_applicable
-75146,1.0,138,?,not_applicable
-75189,1.0,145,?,not_applicable
-75163,1.0,150,?,not_applicable
-2350,1.0,152,?,not_applicable
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,?,not_applicable
-75095,1.0,163,?,not_applicable
-75108,1.0,167,?,not_applicable
-75117,1.0,169,?,not_applicable
-75191,1.0,174,?,not_applicable
-75226,1.0,177,?,not_applicable
-75244,1.0,180,?,not_applicable
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,185,?,not_applicable
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,?,not_applicable
-75153,1.0,212,?,not_applicable
-75173,1.0,216,?,not_applicable
-75187,1.0,218,?,not_applicable
-75195,1.0,221,?,not_applicable
-75225,1.0,226,?,not_applicable
-75100,1.0,232,?,not_applicable
-75132,1.0,236,?,not_applicable
-75210,1.0,239,?,not_applicable
-273,1.0,241,?,not_applicable
-75133,1.0,243,?,not_applicable
-75121,1.0,244,?,not_applicable
-75098,1.0,248,?,not_applicable
-75115,1.0,253,?,not_applicable
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,290,?,not_applicable
-75125,1.0,293,?,not_applicable
-2120,1.0,297,?,not_applicable
-75232,1.0,300,?,not_applicable
-75103,1.0,304,?,not_applicable
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,320,?,not_applicable
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,?,not_applicable
-75105,1.0,334,?,not_applicable
-75154,1.0,338,?,not_applicable
-2117,1.0,341,?,not_applicable
-75156,1.0,345,?,not_applicable
-75097,1.0,349,?,not_applicable
-75101,1.0,352,?,not_applicable
-75172,1.0,353,?,not_applicable
-75106,1.0,358,?,not_applicable
-75120,1.0,365,?,not_applicable
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,?,not_applicable
+ova_omentum,1.0,2,?,not_applicable
+colleges_usnews,1.0,5,?,not_applicable
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,?,not_applicable
+pc4,1.0,12,?,not_applicable
+steel-plates-fault,1.0,13,?,not_applicable
+phishingwebsites,1.0,15,?,not_applicable
+puma8nh,1.0,16,?,not_applicable
+phoneme,1.0,20,?,not_applicable
+cpu_act,1.0,21,?,not_applicable
+house_8l,1.0,22,?,not_applicable
+cmc,1.0,23,?,not_applicable
+quake,1.0,25,?,not_applicable
+bank-marketing,1.0,26,?,not_applicable
+analcatdata_halloffame,1.0,27,?,not_applicable
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,?,not_applicable
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,33,?,not_applicable
+analcatdata_supreme,1.0,34,?,not_applicable
+colleges_aaup,1.0,35,?,not_applicable
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,?,not_applicable
+hypothyroid,1.0,49,?,not_applicable
+sylva_prior,1.0,50,?,not_applicable
+ova_ovary,1.0,51,?,not_applicable
+car,1.0,53,?,not_applicable
+elevators,1.0,54,?,not_applicable
+ringnorm,1.0,55,?,not_applicable
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,62,?,not_applicable
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,66,?,not_applicable
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,?,not_applicable
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,72,?,not_applicable
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,76,?,not_applicable
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,79,?,not_applicable
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,87,?,not_applicable
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,91,?,not_applicable
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,94,?,not_applicable
+kc1,1.0,98,?,not_applicable
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,103,?,not_applicable
+kr-vs-kp,1.0,104,?,not_applicable
+fried,1.0,108,?,not_applicable
+houses,1.0,110,?,not_applicable
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,114,?,not_applicable
+credit-g,1.0,115,?,not_applicable
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,?,not_applicable
+jm1,1.0,123,?,not_applicable
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,?,not_applicable
+kddcup09_upselling,1.0,133,?,not_applicable
+pol,1.0,137,?,not_applicable
+ailerons,1.0,138,?,not_applicable
+codrna,1.0,145,?,not_applicable
+delta_ailerons,1.0,150,?,not_applicable
+imdb.drama,1.0,152,?,not_applicable
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,?,not_applicable
+wilt,1.0,163,?,not_applicable
+musk,1.0,167,?,not_applicable
+ova_uterus,1.0,169,?,not_applicable
+vehicle_sensit,1.0,174,?,not_applicable
+japanesevowels,1.0,177,?,not_applicable
+ipums_la_99-small,1.0,180,?,not_applicable
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,185,?,not_applicable
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,?,not_applicable
+puma32h,1.0,212,?,not_applicable
+delta_elevators,1.0,216,?,not_applicable
+twonorm,1.0,218,?,not_applicable
+mv,1.0,221,?,not_applicable
+ozone-level-8hr,1.0,226,?,not_applicable
+pc2,1.0,232,?,not_applicable
+click_prediction_small,1.0,236,?,not_applicable
+visualizing_soil,1.0,239,?,not_applicable
+spambase,1.0,241,?,not_applicable
+mc1,1.0,243,?,not_applicable
+ova_prostate,1.0,244,?,not_applicable
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,?,not_applicable
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,290,?,not_applicable
+ova_colon,1.0,293,?,not_applicable
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,?,not_applicable
+sylva_agnostic,1.0,304,?,not_applicable
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,320,?,not_applicable
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,?,not_applicable
+kddcup09_appetency,1.0,334,?,not_applicable
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,341,?,not_applicable
+bioresponse,1.0,345,?,not_applicable
+amazon_employee_access,1.0,349,?,not_applicable
+higgs,1.0,352,?,not_applicable
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,?,not_applicable
+ova_endometrium,1.0,365,?,not_applicable
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
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diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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-2123,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_samples_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/algorithm_runs.arff
index 0ea97209d1..1e73eb7435 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+one-hundred-plants-margin,1.0,422,0.16666666666666663,ok
+adult,1.0,428,0.13954209840541043,ok
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+kddcup09_churn,1.0,450,0.07127272727272727,ok
+ova_endometrium,1.0,458,0.03143418467583492,ok
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/algorithm_runs.arff
index 402934b928..9ad8ac3e72 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75092,1.0,12,0.08523908523908519,ok
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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+skin-segmentation,1.0,2e-05,1e-05,0.00785,2e-05,1e-05,0.31031,0.27854,2e-05,0.01161,3e-05,0.02022,1e-05,4e-05,3e-05,9e-05,0.00024,6e-05,2e-05,9e-05,2e-05,0.00062,7e-05,3e-05,0.00017,0.00035,0.0008,1e-05,1e-05,0.00028,0.00043,8e-05,0.00043,8e-05,7e-05,9e-05,0.0002,0.00044,6e-05,8e-05,9e-05,0.00021,0.14028
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+nursery,1.0,1e-05,1e-05,0.00029,1e-05,1e-05,0.00461,0.00415,1e-05,0.00035,1e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00018,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.0004,6e-05,6e-05,8e-05,0.0002,0.00039,6e-05,6e-05,8e-05,0.00019,0.00265
+ipums_la_99-small,1.0,3e-05,2e-05,0.0004,3e-05,2e-05,0.0173,0.01298,4e-05,0.00267,4e-05,0.00174,1e-05,7e-05,9e-05,0.00024,0.00027,8e-05,2e-05,0.00013,3e-05,0.00045,7e-05,2e-05,0.00011,0.00025,0.00077,6e-05,2e-05,0.00021,0.00034,0.00013,0.00077,0.00014,0.00013,0.00026,0.00023,0.00044,7e-05,8e-05,0.0001,0.00019,0.00649
+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/algorithm_runs.arff
index 0ea97209d1..1e73eb7435 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/algorithm_runs.arff
index 402934b928..9ad8ac3e72 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
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+ova_kidney,1.0,185,0.00982318271119842,ok
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+fbis.wc,1.0,200,0.13423645320197042,ok
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+airlines,1.0,209,0.3295748219061102,ok
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+mv,1.0,223,0.000668995763026814,ok
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+spambase,1.0,241,0.04281949934123852,ok
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+ova_prostate,1.0,244,0.0019646365422396617,ok
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+ova_lung,1.0,254,0.013752455795677854,ok
+segment,1.0,258,0.018372703412073532,ok
+ldpa,1.0,275,0.005367351065198589,ok
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+la1s.wc,1.0,282,0.0832544938505203,ok
+abalone,1.0,289,0.3425253991291727,ok
+skin-segmentation,1.0,292,0.00034624326062226984,ok
+ova_colon,1.0,293,0.03339882121807469,ok
+satimage,1.0,316,0.08345120226308345,ok
+qsar-biodeg,1.0,300,0.14367816091954022,ok
+sylva_agnostic,1.0,306,0.005894736842105286,ok
+mfeat-factors,1.0,307,0.009090909090909038,ok
+one-hundred-plants-shape,1.0,312,0.30492424242424243,ok
+kdd_ipums_la_97-small,1.0,321,0.021588946459412783,ok
+new3s.wc,1.0,326,0.09511731135066581,ok
+la2s.wc,1.0,329,0.07495069033530577,ok
+magictelescope,1.0,331,0.1210962396430848,ok
+kddcup09_appetency,1.0,334,0.018121212121212094,ok
+one-hundred-plants-margin,1.0,339,0.16666666666666663,ok
+adult,1.0,343,0.14450580132779056,ok
+bioresponse,1.0,345,0.20533548908649957,ok
+amazon_employee_access,1.0,350,0.049569962082678276,ok
+higgs,1.0,352,0.27596118185189766,ok
+oh0.wc,1.0,357,0.0696969696969697,ok
+kddcup09_churn,1.0,359,0.07163636363636361,ok
+ova_endometrium,1.0,367,0.035363457760314354,ok
+covertype,1.0,371,0.031804645001121346,ok
diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
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diff --git a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/algorithm_runs.arff
index 079687669c..392b90b396 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.48914415175333126,ok
-75119,1.0,2,0.03586776859504137,ok
-75139,1.0,321,0.000592063689743072,ok
-75212,1.0,397,0.17037648900095648,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.0007976155493052417,ok
-75092,1.0,52,0.04872691411152952,ok
-75239,1.0,15,0.0,ok
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-75215,1.0,269,0.003011411213182491,ok
-75171,1.0,21,0.08390184823006619,ok
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-75233,1.0,102,0.014237583502759277,ok
-75182,1.0,356,0.052365535678483566,ok
-253,1.0,27,?,not_applicable
-75157,1.0,29,0.4139033018867925,ok
-75187,1.0,267,0.001194541081475875,ok
-75124,1.0,395,0.08288524266086794,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,285,0.032916666666666594,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,37,0.0492198320581817,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.20365148738192596,ok
-75143,1.0,43,0.0009815096251266642,ok
-75196,1.0,45,0.00010402219140082103,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.13847340668404695,ok
-75249,1.0,204,0.00027157459842586107,ok
-75113,1.0,59,0.00035914702581374414,ok
-75126,1.0,63,0.01998989680305996,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.05192249912367086,ok
-75234,1.0,68,0.0024341981701589965,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.027273444208829156,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.05714372744025953,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,85,0.07428995337007216,ok
-75146,1.0,88,0.03902390737018924,ok
-244,1.0,89,?,not_applicable
-75141,1.0,163,0.008309207869546142,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.003017615815757768,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.0007976155493052417,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,106,0.046689314765498646,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,238,0.10433997211841184,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.01486433691665967,ok
-75099,1.0,171,0.13256035161374957,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,253,0.03438767711211699,ok
-233,1.0,137,7.236937328125581e-05,ok
-75161,1.0,139,0.010965392944143892,ok
-75176,1.0,143,0.0008155640317971669,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.1410533311181258,ok
-261,1.0,221,0.20118938300756473,ok
-75114,1.0,152,0.01289587605377085,ok
-75093,1.0,230,0.24427512963129827,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,167,0.13454992985733727,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.0039052183844204835,ok
-75163,1.0,189,0.02211436849684123,ok
-2350,1.0,191,0.41524352522082464,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.013125739061884079,ok
-75095,1.0,203,0.0069040205766888185,ok
-75108,1.0,207,0.0,ok
-75117,1.0,212,0.05331457160725439,ok
-75191,1.0,216,0.07801659888081602,ok
-75226,1.0,219,7.70861710237547e-05,ok
-75244,1.0,222,0.10109230957560011,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,319,0.002741760438681573,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,4.241221283507457e-06,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.2750824723734884,ok
-75153,1.0,263,0.022855656269682556,ok
-75195,1.0,271,2.2912493125026856e-08,ok
-266,1.0,277,?,not_applicable
-75225,1.0,279,0.06236780879864645,ok
-75100,1.0,286,0.12582626953884435,ok
-75132,1.0,293,0.27152591159294626,ok
-75210,1.0,298,0.0,ok
-273,1.0,300,0.01124981735827002,ok
-75133,1.0,303,0.03146345753569224,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.028559516364394355,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.021532940271725254,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.07496972588161899,ok
-75103,1.0,380,0.0010392963174684633,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.007972654303551208,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.16475344537756154,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.08514254760590934,ok
-75156,1.0,430,0.13042017382504711,ok
-75097,1.0,434,0.14857355521175386,ok
-75101,1.0,438,0.1892655265868073,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.2627889170037707,ok
-75120,1.0,456,0.05153374233128838,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.48914415175333126,ok
+ova_omentum,1.0,2,0.03586776859504137,ok
+pol,1.0,321,0.000592063689743072,ok
+colleges_usnews,1.0,397,0.17037648900095648,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.0007976155493052417,ok
+pc4,1.0,52,0.04872691411152952,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.04976298701298698,ok
+phishingwebsites,1.0,269,0.003011411213182491,ok
+puma8nh,1.0,21,0.08390184823006619,ok
+magictelescope,1.0,410,0.056506595005561766,ok
+phoneme,1.0,24,0.03564418557308702,ok
+cpu_act,1.0,102,0.014237583502759277,ok
+house_8l,1.0,356,0.052365535678483566,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,0.4139033018867925,ok
+twonorm,1.0,267,0.001194541081475875,ok
+bank-marketing,1.0,395,0.08288524266086794,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,285,0.032916666666666594,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,0.0492198320581817,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.20365148738192596,ok
+analcatdata_supreme,1.0,43,0.0009815096251266642,ok
+colleges_aaup,1.0,45,0.00010402219140082103,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.13847340668404695,ok
+hypothyroid,1.0,204,0.00027157459842586107,ok
+sylva_prior,1.0,59,0.00035914702581374414,ok
+ova_ovary,1.0,63,0.01998989680305996,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.05192249912367086,ok
+ringnorm,1.0,68,0.0024341981701589965,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.027273444208829156,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.05714372744025953,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,85,0.07428995337007216,ok
+ailerons,1.0,88,0.03902390737018924,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,163,0.008309207869546142,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.003017615815757768,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.0007976155493052417,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,0.046689314765498646,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,238,0.10433997211841184,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.01486433691665967,ok
+kc1,1.0,171,0.13256035161374957,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,253,0.03438767711211699,ok
+kr-vs-kp,1.0,137,7.236937328125581e-05,ok
+fried,1.0,139,0.010965392944143892,ok
+houses,1.0,143,0.0008155640317971669,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.1410533311181258,ok
+credit-g,1.0,221,0.20118938300756473,ok
+ova_breast,1.0,152,0.01289587605377085,ok
+jm1,1.0,230,0.24427512963129827,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,167,0.13454992985733727,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.0039052183844204835,ok
+delta_ailerons,1.0,189,0.02211436849684123,ok
+imdb.drama,1.0,191,0.41524352522082464,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.013125739061884079,ok
+wilt,1.0,203,0.0069040205766888185,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,212,0.05331457160725439,ok
+vehicle_sensit,1.0,216,0.07801659888081602,ok
+japanesevowels,1.0,219,7.70861710237547e-05,ok
+ipums_la_99-small,1.0,222,0.10109230957560011,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,319,0.002741760438681573,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,4.241221283507457e-06,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.2750824723734884,ok
+puma32h,1.0,263,0.022855656269682556,ok
+mv,1.0,271,2.2912493125026856e-08,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,0.06236780879864645,ok
+pc2,1.0,286,0.12582626953884435,ok
+click_prediction_small,1.0,293,0.27152591159294626,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,300,0.01124981735827002,ok
+mc1,1.0,303,0.03146345753569224,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.028559516364394355,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.021532940271725254,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.07496972588161899,ok
+sylva_agnostic,1.0,380,0.0010392963174684633,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.007972654303551208,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.16475344537756154,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.08514254760590934,ok
+bioresponse,1.0,430,0.13042017382504711,ok
+amazon_employee_access,1.0,434,0.14857355521175386,ok
+higgs,1.0,438,0.1892655265868073,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.2627889170037707,ok
+ova_endometrium,1.0,456,0.05153374233128838,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
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+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_values.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/algorithm_runs.arff
index c3d3504dc1..53dca733b9 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75119,1.0,3,0.037231404958677605,ok
-75212,1.0,319,0.17037648900095648,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.0007976155493052417,ok
-75092,1.0,31,0.04980276134122297,ok
-75239,1.0,13,0.0,ok
-75215,1.0,220,0.003553397998912078,ok
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-75227,1.0,20,0.038193399995746224,ok
-75233,1.0,73,0.01712363249104465,ok
-75182,1.0,284,0.05561145788299382,ok
-253,1.0,23,?,not_applicable
-75157,1.0,172,0.4265841194968554,ok
-75124,1.0,317,0.08288524266086794,ok
-75222,1.0,231,0.032916666666666705,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,30,0.04999071532856669,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,59,0.20495559001832797,ok
-75143,1.0,273,0.0010478482173009729,ok
-75196,1.0,37,0.00010402219140082103,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.1405612507916869,ok
-75249,1.0,164,0.00027157459842586107,ok
-75113,1.0,50,0.00035914702581374414,ok
-75126,1.0,52,0.01998989680305996,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.05192249912367086,ok
-75234,1.0,56,0.004611494191194221,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.027273444208829156,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.06679967711966373,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.11615091140313694,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.008309207869546142,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.00501200567492921,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.0007976155493052417,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.05050614765799111,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.10877419185936166,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.015018578376675529,ok
-75099,1.0,136,0.16903371818420365,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.041282912611327105,ok
-233,1.0,107,7.236937328125581e-05,ok
-75161,1.0,109,0.011912347235347065,ok
-75176,1.0,110,0.0008155640317971669,ok
-262,1.0,113,?,not_applicable
-75129,1.0,272,0.14215401229440106,ok
-261,1.0,179,0.20118938300756473,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,118,0.01289587605377085,ok
-75093,1.0,187,0.2537896163896557,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,135,0.13495286025254738,ok
-75139,1.0,137,0.0006315469024589238,ok
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-75163,1.0,150,0.02211436849684123,ok
-2350,1.0,152,0.41524352522082464,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.01986598344501389,ok
-75095,1.0,163,0.0069040205766888185,ok
-75108,1.0,168,0.0,ok
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-75226,1.0,177,0.00012941990181059015,ok
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-75236,1.0,181,?,not_applicable
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-75116,1.0,256,0.003055920488947317,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.2750824723734884,ok
-75153,1.0,215,0.022855656269682556,ok
-75173,1.0,217,0.050985389610389786,ok
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-75100,1.0,232,0.15938253363403054,ok
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-273,1.0,241,0.011658021624780912,ok
-75133,1.0,243,0.03146345753569224,ok
-75121,1.0,244,0.0,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.03695017719407956,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,4.241221283507457e-06,ok
-75125,1.0,294,0.028966931556011266,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,300,0.07775861436277565,ok
-75103,1.0,306,0.0010392963174684633,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.007972654303551208,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.05830771036972615,ok
-75105,1.0,334,0.16475344537756154,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,344,0.085290931483747,ok
-75156,1.0,348,0.13308842519145536,ok
-75097,1.0,349,0.14857355521175386,ok
-75101,1.0,352,0.1980053598723278,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,358,0.2669621656631299,ok
-75120,1.0,365,0.05153374233128838,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.48914415175333126,ok
+ova_omentum,1.0,3,0.037231404958677605,ok
+colleges_usnews,1.0,319,0.17037648900095648,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.0007976155493052417,ok
+pc4,1.0,31,0.04980276134122297,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,220,0.003553397998912078,ok
+puma8nh,1.0,17,0.08407705667336118,ok
+phoneme,1.0,20,0.038193399995746224,ok
+cpu_act,1.0,73,0.01712363249104465,ok
+house_8l,1.0,284,0.05561145788299382,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,172,0.4265841194968554,ok
+bank-marketing,1.0,317,0.08288524266086794,ok
+analcatdata_halloffame,1.0,231,0.032916666666666705,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,0.04999071532856669,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,59,0.20495559001832797,ok
+analcatdata_supreme,1.0,273,0.0010478482173009729,ok
+colleges_aaup,1.0,37,0.00010402219140082103,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.1405612507916869,ok
+hypothyroid,1.0,164,0.00027157459842586107,ok
+sylva_prior,1.0,50,0.00035914702581374414,ok
+ova_ovary,1.0,52,0.01998989680305996,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.05192249912367086,ok
+ringnorm,1.0,56,0.004611494191194221,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.027273444208829156,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.06679967711966373,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.11615091140313694,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.008309207869546142,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.00501200567492921,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.0007976155493052417,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.05050614765799111,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.10877419185936166,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.015018578376675529,ok
+kc1,1.0,136,0.16903371818420365,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.041282912611327105,ok
+kr-vs-kp,1.0,107,7.236937328125581e-05,ok
+fried,1.0,109,0.011912347235347065,ok
+houses,1.0,110,0.0008155640317971669,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,272,0.14215401229440106,ok
+credit-g,1.0,179,0.20118938300756473,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,0.01289587605377085,ok
+jm1,1.0,187,0.2537896163896557,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,135,0.13495286025254738,ok
+pol,1.0,137,0.0006315469024589238,ok
+ailerons,1.0,139,0.04063053064162947,ok
+codrna,1.0,145,0.0025315308375581935,ok
+delta_ailerons,1.0,150,0.02211436849684123,ok
+imdb.drama,1.0,152,0.41524352522082464,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.01986598344501389,ok
+wilt,1.0,163,0.0069040205766888185,ok
+musk,1.0,168,0.0,ok
+ova_uterus,1.0,193,0.054773816968938904,ok
+vehicle_sensit,1.0,174,0.07801659888081602,ok
+japanesevowels,1.0,177,0.00012941990181059015,ok
+ipums_la_99-small,1.0,298,0.10177688635272186,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,256,0.003055920488947317,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.2750824723734884,ok
+puma32h,1.0,215,0.022855656269682556,ok
+delta_elevators,1.0,217,0.050985389610389786,ok
+twonorm,1.0,218,0.001194541081475875,ok
+mv,1.0,223,3.8951238356954576e-07,ok
+ozone-level-8hr,1.0,226,0.06530245346869723,ok
+pc2,1.0,232,0.15938253363403054,ok
+click_prediction_small,1.0,237,0.30124427895247907,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.011658021624780912,ok
+mc1,1.0,243,0.03146345753569224,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.03695017719407956,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,4.241221283507457e-06,ok
+ova_colon,1.0,294,0.028966931556011266,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.07775861436277565,ok
+sylva_agnostic,1.0,306,0.0010392963174684633,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.007972654303551208,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.05830771036972615,ok
+kddcup09_appetency,1.0,334,0.16475344537756154,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.085290931483747,ok
+bioresponse,1.0,348,0.13308842519145536,ok
+amazon_employee_access,1.0,349,0.14857355521175386,ok
+higgs,1.0,352,0.1980053598723278,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,0.2669621656631299,ok
+ova_endometrium,1.0,365,0.05153374233128838,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
-252,1.0,2e-05,1e-05,0.00018,2e-05,1e-05,0.00231,0.00174,2e-05,0.0004,3e-05,0.00023,1e-05,4e-05,4e-05,9e-05,0.00013,4e-05,1e-05,6e-05,2e-05,0.00029,4e-05,2e-05,6e-05,0.00016,0.00088,1e-05,1e-05,0.00023,0.00053,0.00011,0.00115,0.00017,0.00018,0.00024,0.00055,0.00166,0.0002,0.0002,0.00034,0.00092,0.0012
-253,1.0,2e-05,1e-05,0.00015,3e-05,2e-05,0.00177,0.00155,2e-05,0.00021,3e-05,7e-05,1e-05,4e-05,3e-05,9e-05,0.00012,5e-05,3e-05,8e-05,4e-05,0.00025,3e-05,1e-05,6e-05,0.00014,0.0006,1e-05,1e-05,0.00011,0.00034,0.00012,0.00065,7e-05,0.00011,0.00017,0.0003,0.00049,7e-05,9e-05,0.00013,0.0002,0.00094
-254,1.0,2e-05,2e-05,0.00022,3e-05,2e-05,0.00625,0.00531,2e-05,0.00067,2e-05,0.00032,1e-05,3e-05,3e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00026,3e-05,1e-05,7e-05,0.00015,0.0004,2e-05,1e-05,0.0001,0.0002,8e-05,0.00115,0.00027,0.00016,0.0004,0.00032,0.00217,0.00024,0.00016,0.00023,0.00155,0.00346
-258,1.0,2e-05,1e-05,0.00043,2e-05,1e-05,0.00614,0.00454,2e-05,0.00093,3e-05,0.00073,1e-05,4e-05,4e-05,9e-05,0.00011,4e-05,1e-05,7e-05,3e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.00077,0.0,1e-05,0.00021,0.00045,0.0001,0.00042,6e-05,7e-05,0.0001,0.00019,0.00042,6e-05,7e-05,9e-05,0.00019,0.00257
-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
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diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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-2119,1.0,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok,ok
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diff --git a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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+skin-segmentation,1.0,0.7378736147990802,0.7918800894091566,0.5,0.20811991059084348,0.29188008940915655,1.8271625991997027e-05,54729.666666666664,-0.5975548261535093,-0.7926032911766772,-0.9140236377716064,0.13929334047064063,-10.910161193614513,10.910161193614513,1.0986122886681098,12.008773482282624,0.0,2.0,3.0,0.0,164189.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,-0.039879728108644485,-0.3348021370669206,-0.6223916411399841,0.2378660138627058,0.0,0.0,0.0,0.0,0.0
+steel-plates-fault,1.0,0.9443547030267275,0.6379707916986933,0.5,0.3620292083013067,0.1379707916986933,0.02536510376633359,39.42424242424242,30.96304702758789,5.229958094222913,-1.8830041885375977,9.159290860687747,-3.674380917046025,3.674380917046025,3.4965075614664802,7.170888478512505,0.0,2.0,33.0,0.0,1301.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,5.591684341430664,1.5151810998266393,-0.8763390183448792,1.68213778251707,0.0,0.0,0.0,0.0,0.0
+kdd_ipums_la_97-small,1.0,0.9473321982231081,0.6342759940463534,0.5,0.3657240059536466,0.13427599404635338,0.01275781416117372,78.38333333333334,1911.103482572295,38.512800597597035,-3.0,145.76440092342054,-4.361611319722948,4.361611319722948,4.0943445622221,8.455955881945048,27.0,2.0,60.0,17.0,4703.0,4703.0,29447.0,33.0,0.2833333333333333,1.0,0.10435537600113402,0.8181818181818182,1.2222222222222223,43.144344696960424,3.913912678196276,-22.79380338813253,4.943976022970944,173.0,22.59259259259259,1.0,43.77997111758117,610.0
+nursery,1.0,1.7118844784475225,0.33529140750979036,0.25,0.024648698456576825,0.13045500689907696,0.0009214466712739,1085.25,0.37898291200086787,-0.9656219973073414,-1.9999312246360998,0.7132002663612025,-6.989565654179703,6.989565654179703,2.0794415416798357,9.06900719585954,8.0,4.0,8.0,0.0,8682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5423951867147632,0.9342552225820131,-0.008293091335592482,0.40192683634075954,5.0,3.375,2.0,0.8569568250501305,27.0
+ipums_la_99-small,1.0,0.33901826511567296,0.9370570367870401,0.5,0.06294296321295983,0.43705703678704017,0.009449881876476544,105.82142857142857,1180.200844451951,40.51648623113333,-3.0,132.43484378998235,-4.661753037398361,4.661753037398361,4.02535169073515,8.68710472813351,41.0,2.0,56.0,14.0,5926.0,5926.0,23694.0,15.0,0.25,1.0,0.0713984378766694,2.7333333333333334,0.36585365853658536,34.38314768097812,3.7769009011075547,-8.659484722748674,5.307279668054912,16.0,5.975609756097561,1.0,3.692363938923924,245.0
+ipums_la_98-small,1.0,0.4971128374263667,0.8909272183449651,0.5,0.1090727816550349,0.39092721834496513,0.010967098703888335,91.18181818181819,5010.000199441565,104.23108191482348,-3.0,468.735807382562,-4.512855515163565,4.512855515163565,4.007333185232471,8.520188700396035,39.0,2.0,55.0,12.0,5015.0,4938.0,21515.0,16.0,0.21818181818181817,0.9846460618145564,0.07800235656666364,2.4375,0.41025641025641024,70.79548149028699,4.06998328231248,-50.04498375424548,9.467860234489164,14.0,5.769230769230769,1.0,3.407845687351005,225.0
+hypothyroid,1.0,0.3891675492147647,0.9236550632911392,0.5,0.07634493670886076,0.4236550632911392,0.011471518987341773,87.17241379310344,416.3357123975682,46.57141260912883,-3.0,84.69777944086748,-4.467887925280274,4.467887925280274,3.367295829986474,7.8351837552667485,22.0,2.0,29.0,7.0,2528.0,2528.0,4109.0,7.0,0.2413793103448276,1.0,0.056048123090353556,3.142857142857143,0.3181818181818182,20.453256767506936,0.8884855226401125,-20.453256767506936,6.7466910388456185,5.0,2.0454545454545454,1.0,0.7056443043754556,45.0
+walking-activity,1.0,3.992354626842552,0.146342438507591,0.04545454545454545,0.005796927628356971,0.03949259311161838,3.997881123004808e-05,25013.25,2.1476065760596077,1.4719570787187288,0.3045189380645752,0.6973345081454226,-10.127160963449944,10.127160963449944,1.3862943611198906,11.513455324569835,0.0,22.0,4.0,0.0,100053.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.2135857343673706,0.3996680751442909,-0.3896799087524414,0.7616029272290122,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/algorithm_runs.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/algorithm_runs.arff
index 079687669c..392b90b396 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/algorithm_runs.arff
@@ -7,135 +7,135 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
-75192,1.0,1,0.48914415175333126,ok
-75119,1.0,2,0.03586776859504137,ok
-75139,1.0,321,0.000592063689743072,ok
-75212,1.0,397,0.17037648900095648,ok
-246,1.0,8,?,not_applicable
-252,1.0,9,?,not_applicable
-75178,1.0,10,?,not_applicable
-75177,1.0,13,0.0007976155493052417,ok
-75092,1.0,52,0.04872691411152952,ok
-75239,1.0,15,0.0,ok
-75173,1.0,264,0.04976298701298698,ok
-75215,1.0,269,0.003011411213182491,ok
-75171,1.0,21,0.08390184823006619,ok
-75112,1.0,410,0.056506595005561766,ok
-75227,1.0,24,0.03564418557308702,ok
-75233,1.0,102,0.014237583502759277,ok
-75182,1.0,356,0.052365535678483566,ok
-253,1.0,27,?,not_applicable
-75157,1.0,29,0.4139033018867925,ok
-75187,1.0,267,0.001194541081475875,ok
-75124,1.0,395,0.08288524266086794,ok
-75090,1.0,32,?,not_applicable
-75222,1.0,285,0.032916666666666594,ok
-75231,1.0,34,?,not_applicable
-75185,1.0,37,0.0492198320581817,ok
-2123,1.0,39,?,not_applicable
-75150,1.0,72,0.20365148738192596,ok
-75143,1.0,43,0.0009815096251266642,ok
-75196,1.0,45,0.00010402219140082103,ok
-75188,1.0,49,?,not_applicable
-75248,1.0,54,0.13847340668404695,ok
-75249,1.0,204,0.00027157459842586107,ok
-75113,1.0,59,0.00035914702581374414,ok
-75126,1.0,63,0.01998989680305996,ok
-288,1.0,64,?,not_applicable
-251,1.0,65,?,not_applicable
-75184,1.0,156,0.05192249912367086,ok
-75234,1.0,68,0.0024341981701589965,ok
-258,1.0,73,?,not_applicable
-75166,1.0,281,0.027273444208829156,ok
-75168,1.0,77,?,not_applicable
-75148,1.0,276,0.05714372744025953,ok
-75235,1.0,81,?,not_applicable
-75159,1.0,85,0.07428995337007216,ok
-75146,1.0,88,0.03902390737018924,ok
-244,1.0,89,?,not_applicable
-75141,1.0,163,0.008309207869546142,ok
-75221,1.0,92,?,not_applicable
-75219,1.0,101,0.003017615815757768,ok
-75202,1.0,96,?,not_applicable
-3043,1.0,99,0.0007976155493052417,ok
-75205,1.0,103,?,not_applicable
-75174,1.0,106,0.046689314765498646,ok
-75250,1.0,111,?,not_applicable
-75179,1.0,238,0.10433997211841184,ok
-275,1.0,115,?,not_applicable
-242,1.0,116,?,not_applicable
-75207,1.0,117,?,not_applicable
-75142,1.0,118,0.01486433691665967,ok
-75099,1.0,171,0.13256035161374957,ok
-75243,1.0,126,?,not_applicable
-75175,1.0,253,0.03438767711211699,ok
-233,1.0,137,7.236937328125581e-05,ok
-75161,1.0,139,0.010965392944143892,ok
-75176,1.0,143,0.0008155640317971669,ok
-262,1.0,146,?,not_applicable
-75129,1.0,147,0.1410533311181258,ok
-261,1.0,221,0.20118938300756473,ok
-75114,1.0,152,0.01289587605377085,ok
-75093,1.0,230,0.24427512963129827,ok
-260,1.0,158,?,not_applicable
-236,1.0,160,?,not_applicable
-254,1.0,166,0.0,ok
-75107,1.0,167,0.13454992985733727,ok
-75181,1.0,175,?,not_applicable
-75189,1.0,187,0.0039052183844204835,ok
-75163,1.0,189,0.02211436849684123,ok
-2350,1.0,191,0.41524352522082464,ok
-2122,1.0,195,?,not_applicable
-75110,1.0,198,?,not_applicable
-75213,1.0,394,0.013125739061884079,ok
-75095,1.0,203,0.0069040205766888185,ok
-75108,1.0,207,0.0,ok
-75117,1.0,212,0.05331457160725439,ok
-75191,1.0,216,0.07801659888081602,ok
-75226,1.0,219,7.70861710237547e-05,ok
-75244,1.0,222,0.10109230957560011,ok
-75236,1.0,223,?,not_applicable
-75169,1.0,227,?,not_applicable
-75116,1.0,319,0.002741760438681573,ok
-75223,1.0,235,?,not_applicable
-75109,1.0,242,?,not_applicable
-75197,1.0,245,?,not_applicable
-75237,1.0,364,4.241221283507457e-06,ok
-248,1.0,250,?,not_applicable
-2119,1.0,254,?,not_applicable
-75127,1.0,255,0.2750824723734884,ok
-75153,1.0,263,0.022855656269682556,ok
-75195,1.0,271,2.2912493125026856e-08,ok
-266,1.0,277,?,not_applicable
-75225,1.0,279,0.06236780879864645,ok
-75100,1.0,286,0.12582626953884435,ok
-75132,1.0,293,0.27152591159294626,ok
-75210,1.0,298,0.0,ok
-273,1.0,300,0.01124981735827002,ok
-75133,1.0,303,0.03146345753569224,ok
-75121,1.0,304,0.0,ok
-75098,1.0,310,?,not_applicable
-75115,1.0,315,0.028559516364394355,ok
-75217,1.0,337,?,not_applicable
-75134,1.0,341,?,not_applicable
-75096,1.0,346,?,not_applicable
-75203,1.0,350,?,not_applicable
-75123,1.0,360,?,not_applicable
-75125,1.0,369,0.021532940271725254,ok
-2120,1.0,371,?,not_applicable
-75232,1.0,374,0.07496972588161899,ok
-75103,1.0,380,0.0010392963174684633,ok
-75230,1.0,386,?,not_applicable
-75240,1.0,399,0.007972654303551208,ok
-75198,1.0,404,?,not_applicable
-75201,1.0,407,?,not_applicable
-75105,1.0,415,0.16475344537756154,ok
-75154,1.0,420,?,not_applicable
-2117,1.0,429,0.08514254760590934,ok
-75156,1.0,430,0.13042017382504711,ok
-75097,1.0,434,0.14857355521175386,ok
-75101,1.0,438,0.1892655265868073,ok
-75172,1.0,443,?,not_applicable
-75106,1.0,449,0.2627889170037707,ok
-75120,1.0,456,0.05153374233128838,ok
-75193,1.0,461,?,not_applicable
+pollen,1.0,1,0.48914415175333126,ok
+ova_omentum,1.0,2,0.03586776859504137,ok
+pol,1.0,321,0.000592063689743072,ok
+colleges_usnews,1.0,397,0.17037648900095648,ok
+mfeat-karhunen,1.0,8,?,not_applicable
+mfeat-zernike,1.0,9,?,not_applicable
+spoken-arabic-digit,1.0,10,?,not_applicable
+thyroid_sick,1.0,13,0.0007976155493052417,ok
+pc4,1.0,52,0.04872691411152952,ok
+steel-plates-fault,1.0,15,0.0,ok
+delta_elevators,1.0,264,0.04976298701298698,ok
+phishingwebsites,1.0,269,0.003011411213182491,ok
+puma8nh,1.0,21,0.08390184823006619,ok
+magictelescope,1.0,410,0.056506595005561766,ok
+phoneme,1.0,24,0.03564418557308702,ok
+cpu_act,1.0,102,0.014237583502759277,ok
+house_8l,1.0,356,0.052365535678483566,ok
+cmc,1.0,27,?,not_applicable
+quake,1.0,29,0.4139033018867925,ok
+twonorm,1.0,267,0.001194541081475875,ok
+bank-marketing,1.0,395,0.08288524266086794,ok
+gina_prior2,1.0,32,?,not_applicable
+analcatdata_halloffame,1.0,285,0.032916666666666594,ok
+one-hundred-plants-texture,1.0,34,?,not_applicable
+wind,1.0,37,0.0492198320581817,ok
+baseball,1.0,39,?,not_applicable
+rmftsa_sleepdata,1.0,72,0.20365148738192596,ok
+analcatdata_supreme,1.0,43,0.0009815096251266642,ok
+colleges_aaup,1.0,45,0.00010402219140082103,ok
+wap.wc,1.0,49,?,not_applicable
+ipums_la_98-small,1.0,54,0.13847340668404695,ok
+hypothyroid,1.0,204,0.00027157459842586107,ok
+sylva_prior,1.0,59,0.00035914702581374414,ok
+ova_ovary,1.0,63,0.01998989680305996,ok
+waveform-5000,1.0,64,?,not_applicable
+car,1.0,65,?,not_applicable
+elevators,1.0,156,0.05192249912367086,ok
+ringnorm,1.0,68,0.0024341981701589965,ok
+optdigits,1.0,73,?,not_applicable
+kin8nm,1.0,281,0.027273444208829156,ok
+re0.wc,1.0,77,?,not_applicable
+space_ga,1.0,276,0.05714372744025953,ok
+wall-robot-navigation,1.0,81,?,not_applicable
+pc1,1.0,85,0.07428995337007216,ok
+ailerons,1.0,88,0.03902390737018924,ok
+mfeat-fourier,1.0,89,?,not_applicable
+bank8fm,1.0,163,0.008309207869546142,ok
+first-order-theorem-proving,1.0,92,?,not_applicable
+eeg-eye-state,1.0,101,0.003017615815757768,ok
+re1.wc,1.0,96,?,not_applicable
+sick,1.0,99,0.0007976155493052417,ok
+ohscal.wc,1.0,103,?,not_applicable
+house_16h,1.0,106,0.046689314765498646,ok
+walking-activity,1.0,111,?,not_applicable
+bank32nh,1.0,238,0.10433997211841184,ok
+splice,1.0,115,?,not_applicable
+mfeat-factors,1.0,116,?,not_applicable
+oh10.wc,1.0,117,?,not_applicable
+2dplanes,1.0,118,0.01486433691665967,ok
+kc1,1.0,171,0.13256035161374957,ok
+nursery,1.0,126,?,not_applicable
+cal_housing,1.0,253,0.03438767711211699,ok
+kr-vs-kp,1.0,137,7.236937328125581e-05,ok
+fried,1.0,139,0.010965392944143892,ok
+houses,1.0,143,0.0008155640317971669,ok
+pendigits,1.0,146,?,not_applicable
+pc3,1.0,147,0.1410533311181258,ok
+credit-g,1.0,221,0.20118938300756473,ok
+ova_breast,1.0,152,0.01289587605377085,ok
+jm1,1.0,230,0.24427512963129827,ok
+page-blocks,1.0,158,?,not_applicable
+letter,1.0,160,?,not_applicable
+mushroom,1.0,166,0.0,ok
+kddcup09_upselling,1.0,167,0.13454992985733727,ok
+tamilnadu-electricity,1.0,175,?,not_applicable
+codrna,1.0,187,0.0039052183844204835,ok
+delta_ailerons,1.0,189,0.02211436849684123,ok
+imdb.drama,1.0,191,0.41524352522082464,ok
+kropt,1.0,195,?,not_applicable
+chess,1.0,198,?,not_applicable
+socmob,1.0,394,0.013125739061884079,ok
+wilt,1.0,203,0.0069040205766888185,ok
+musk,1.0,207,0.0,ok
+ova_uterus,1.0,212,0.05331457160725439,ok
+vehicle_sensit,1.0,216,0.07801659888081602,ok
+japanesevowels,1.0,219,7.70861710237547e-05,ok
+ipums_la_99-small,1.0,222,0.10109230957560011,ok
+semeion,1.0,223,?,not_applicable
+isolet,1.0,227,?,not_applicable
+ova_kidney,1.0,319,0.002741760438681573,ok
+kr-vs-k,1.0,235,?,not_applicable
+gesturephasesegmentationprocessed,1.0,242,?,not_applicable
+fbis.wc,1.0,245,?,not_applicable
+skin-segmentation,1.0,364,4.241221283507457e-06,ok
+mfeat-morphological,1.0,250,?,not_applicable
+yeast,1.0,254,?,not_applicable
+airlines,1.0,255,0.2750824723734884,ok
+puma32h,1.0,263,0.022855656269682556,ok
+mv,1.0,271,2.2912493125026856e-08,ok
+segment,1.0,277,?,not_applicable
+ozone-level-8hr,1.0,279,0.06236780879864645,ok
+pc2,1.0,286,0.12582626953884435,ok
+click_prediction_small,1.0,293,0.27152591159294626,ok
+visualizing_soil,1.0,298,0.0,ok
+spambase,1.0,300,0.01124981735827002,ok
+mc1,1.0,303,0.03146345753569224,ok
+ova_prostate,1.0,304,0.0,ok
+mnist_784,1.0,310,?,not_applicable
+ova_lung,1.0,315,0.028559516364394355,ok
+cardiotocography,1.0,337,?,not_applicable
+ldpa,1.0,341,?,not_applicable
+poker-hand,1.0,346,?,not_applicable
+la1s.wc,1.0,350,?,not_applicable
+abalone,1.0,360,?,not_applicable
+ova_colon,1.0,369,0.021532940271725254,ok
+satimage,1.0,371,?,not_applicable
+qsar-biodeg,1.0,374,0.07496972588161899,ok
+sylva_agnostic,1.0,380,0.0010392963174684633,ok
+one-hundred-plants-shape,1.0,386,?,not_applicable
+kdd_ipums_la_97-small,1.0,399,0.007972654303551208,ok
+new3s.wc,1.0,404,?,not_applicable
+la2s.wc,1.0,407,?,not_applicable
+kddcup09_appetency,1.0,415,0.16475344537756154,ok
+one-hundred-plants-margin,1.0,420,?,not_applicable
+adult,1.0,429,0.08514254760590934,ok
+bioresponse,1.0,430,0.13042017382504711,ok
+amazon_employee_access,1.0,434,0.14857355521175386,ok
+higgs,1.0,438,0.1892655265868073,ok
+oh0.wc,1.0,443,?,not_applicable
+kddcup09_churn,1.0,449,0.2627889170037707,ok
+ova_endometrium,1.0,456,0.05153374233128838,ok
+covertype,1.0,461,?,not_applicable
diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_costs.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
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-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
-248,1.0,1e-05,1e-05,9e-05,1e-05,1e-05,0.00105,0.00092,1e-05,0.0001,1e-05,5e-05,0.0,2e-05,2e-05,5e-05,9e-05,2e-05,1e-05,3e-05,1e-05,0.00021,4e-05,1e-05,4e-05,0.00012,0.00054,0.0,1e-05,0.00015,0.0003,8e-05,0.00039,6e-05,6e-05,8e-05,0.00019,0.00045,6e-05,6e-05,8e-05,0.00024,0.0007
-251,1.0,1e-05,0.0,5e-05,1e-05,1e-05,0.00067,0.00057,1e-05,9e-05,1e-05,3e-05,0.0,2e-05,1e-05,3e-05,5e-05,2e-05,1e-05,2e-05,1e-05,0.0001,1e-05,1e-05,3e-05,5e-05,0.00016,0.0,0.0,4e-05,8e-05,3e-05,0.00028,4e-05,5e-05,6e-05,0.00013,0.00034,5e-05,6e-05,9e-05,0.00014,0.00037
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-260,1.0,1e-05,1e-05,0.00018,1e-05,1e-05,0.00247,0.00213,1e-05,0.00027,1e-05,0.00011,1e-05,2e-05,2e-05,7e-05,0.00012,3e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00014,0.00052,0.0,0.0,0.00015,0.00029,7e-05,0.00072,0.00011,0.00012,0.00016,0.00032,0.00075,0.00011,0.00012,0.00017,0.00034,0.0015
-261,1.0,1e-05,1e-05,4e-05,1e-05,1e-05,0.0005,0.00038,1e-05,0.0001,1e-05,4e-05,0.0,2e-05,2e-05,4e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00013,2e-05,1e-05,3e-05,7e-05,0.0002,1e-05,1e-05,5e-05,0.0001,4e-05,0.00038,6e-05,7e-05,8e-05,0.00017,0.00036,6e-05,6e-05,8e-05,0.00016,0.00076
-262,1.0,1e-05,1e-05,0.00056,4e-05,3e-05,0.00847,0.00751,2e-05,0.00067,2e-05,0.00036,3e-05,5e-05,3e-05,8e-05,0.0001,3e-05,1e-05,5e-05,2e-05,0.00025,3e-05,1e-05,6e-05,0.00015,0.0007,1e-05,1e-05,0.0002,0.00039,9e-05,0.00059,8e-05,9e-05,0.00012,0.0003,0.00062,9e-05,0.00011,0.00014,0.00028,0.00477
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diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_runstatus.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_values.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/algorithm_runs.arff
index c3d3504dc1..53dca733b9 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/algorithm_runs.arff
@@ -7,133 +7,133 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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-75119,1.0,3,0.037231404958677605,ok
-75212,1.0,319,0.17037648900095648,ok
-246,1.0,6,?,not_applicable
-252,1.0,7,?,not_applicable
-75178,1.0,8,?,not_applicable
-75177,1.0,11,0.0007976155493052417,ok
-75092,1.0,31,0.04980276134122297,ok
-75239,1.0,13,0.0,ok
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-75233,1.0,73,0.01712363249104465,ok
-75182,1.0,284,0.05561145788299382,ok
-253,1.0,23,?,not_applicable
-75157,1.0,172,0.4265841194968554,ok
-75124,1.0,317,0.08288524266086794,ok
-75222,1.0,231,0.032916666666666705,ok
-75231,1.0,28,?,not_applicable
-75185,1.0,30,0.04999071532856669,ok
-2123,1.0,32,?,not_applicable
-75150,1.0,59,0.20495559001832797,ok
-75143,1.0,273,0.0010478482173009729,ok
-75196,1.0,37,0.00010402219140082103,ok
-75188,1.0,40,?,not_applicable
-75248,1.0,45,0.1405612507916869,ok
-75249,1.0,164,0.00027157459842586107,ok
-75113,1.0,50,0.00035914702581374414,ok
-75126,1.0,52,0.01998989680305996,ok
-251,1.0,53,?,not_applicable
-75184,1.0,122,0.05192249912367086,ok
-75234,1.0,56,0.004611494191194221,ok
-258,1.0,60,?,not_applicable
-75166,1.0,227,0.027273444208829156,ok
-75168,1.0,63,?,not_applicable
-75148,1.0,183,0.06679967711966373,ok
-75235,1.0,67,?,not_applicable
-75159,1.0,68,0.11615091140313694,ok
-244,1.0,71,?,not_applicable
-75141,1.0,129,0.008309207869546142,ok
-75221,1.0,74,?,not_applicable
-75219,1.0,82,0.00501200567492921,ok
-75202,1.0,77,?,not_applicable
-3043,1.0,80,0.0007976155493052417,ok
-75205,1.0,84,?,not_applicable
-75174,1.0,88,0.05050614765799111,ok
-288,1.0,89,?,not_applicable
-75250,1.0,90,?,not_applicable
-75179,1.0,363,0.10877419185936166,ok
-275,1.0,92,?,not_applicable
-75207,1.0,93,?,not_applicable
-75142,1.0,95,0.015018578376675529,ok
-75099,1.0,136,0.16903371818420365,ok
-75243,1.0,99,?,not_applicable
-75175,1.0,211,0.041282912611327105,ok
-233,1.0,107,7.236937328125581e-05,ok
-75161,1.0,109,0.011912347235347065,ok
-75176,1.0,110,0.0008155640317971669,ok
-262,1.0,113,?,not_applicable
-75129,1.0,272,0.14215401229440106,ok
-261,1.0,179,0.20118938300756473,ok
-75090,1.0,116,?,not_applicable
-75114,1.0,118,0.01289587605377085,ok
-75093,1.0,187,0.2537896163896557,ok
-260,1.0,124,?,not_applicable
-236,1.0,126,?,not_applicable
-254,1.0,132,0.0,ok
-75107,1.0,135,0.13495286025254738,ok
-75139,1.0,137,0.0006315469024589238,ok
-75146,1.0,139,0.04063053064162947,ok
-75189,1.0,145,0.0025315308375581935,ok
-75163,1.0,150,0.02211436849684123,ok
-2350,1.0,152,0.41524352522082464,ok
-2122,1.0,156,?,not_applicable
-75110,1.0,159,?,not_applicable
-75213,1.0,162,0.01986598344501389,ok
-75095,1.0,163,0.0069040205766888185,ok
-75108,1.0,168,0.0,ok
-75117,1.0,193,0.054773816968938904,ok
-75191,1.0,174,0.07801659888081602,ok
-75226,1.0,177,0.00012941990181059015,ok
-75244,1.0,298,0.10177688635272186,ok
-75236,1.0,181,?,not_applicable
-75169,1.0,184,?,not_applicable
-75116,1.0,256,0.003055920488947317,ok
-75223,1.0,189,?,not_applicable
-75109,1.0,196,?,not_applicable
-75197,1.0,199,?,not_applicable
-248,1.0,203,?,not_applicable
-2119,1.0,206,?,not_applicable
-75127,1.0,207,0.2750824723734884,ok
-75153,1.0,215,0.022855656269682556,ok
-75173,1.0,217,0.050985389610389786,ok
-75187,1.0,218,0.001194541081475875,ok
-75195,1.0,223,3.8951238356954576e-07,ok
-75225,1.0,226,0.06530245346869723,ok
-75100,1.0,232,0.15938253363403054,ok
-75132,1.0,237,0.30124427895247907,ok
-75210,1.0,239,0.0,ok
-273,1.0,241,0.011658021624780912,ok
-75133,1.0,243,0.03146345753569224,ok
-75121,1.0,244,0.0,ok
-75098,1.0,248,?,not_applicable
-75115,1.0,253,0.03695017719407956,ok
-266,1.0,258,?,not_applicable
-75134,1.0,274,?,not_applicable
-75096,1.0,277,?,not_applicable
-75203,1.0,280,?,not_applicable
-75123,1.0,288,?,not_applicable
-75237,1.0,291,4.241221283507457e-06,ok
-75125,1.0,294,0.028966931556011266,ok
-2120,1.0,297,?,not_applicable
-75232,1.0,300,0.07775861436277565,ok
-75103,1.0,306,0.0010392963174684633,ok
-242,1.0,307,?,not_applicable
-75230,1.0,312,?,not_applicable
-75240,1.0,321,0.007972654303551208,ok
-75198,1.0,325,?,not_applicable
-75201,1.0,328,?,not_applicable
-75112,1.0,331,0.05830771036972615,ok
-75105,1.0,334,0.16475344537756154,ok
-75154,1.0,338,?,not_applicable
-2117,1.0,344,0.085290931483747,ok
-75156,1.0,348,0.13308842519145536,ok
-75097,1.0,349,0.14857355521175386,ok
-75101,1.0,352,0.1980053598723278,ok
-75172,1.0,353,?,not_applicable
-75106,1.0,358,0.2669621656631299,ok
-75120,1.0,365,0.05153374233128838,ok
-75193,1.0,369,?,not_applicable
+pollen,1.0,1,0.48914415175333126,ok
+ova_omentum,1.0,3,0.037231404958677605,ok
+colleges_usnews,1.0,319,0.17037648900095648,ok
+mfeat-karhunen,1.0,6,?,not_applicable
+mfeat-zernike,1.0,7,?,not_applicable
+spoken-arabic-digit,1.0,8,?,not_applicable
+thyroid_sick,1.0,11,0.0007976155493052417,ok
+pc4,1.0,31,0.04980276134122297,ok
+steel-plates-fault,1.0,13,0.0,ok
+phishingwebsites,1.0,220,0.003553397998912078,ok
+puma8nh,1.0,17,0.08407705667336118,ok
+phoneme,1.0,20,0.038193399995746224,ok
+cpu_act,1.0,73,0.01712363249104465,ok
+house_8l,1.0,284,0.05561145788299382,ok
+cmc,1.0,23,?,not_applicable
+quake,1.0,172,0.4265841194968554,ok
+bank-marketing,1.0,317,0.08288524266086794,ok
+analcatdata_halloffame,1.0,231,0.032916666666666705,ok
+one-hundred-plants-texture,1.0,28,?,not_applicable
+wind,1.0,30,0.04999071532856669,ok
+baseball,1.0,32,?,not_applicable
+rmftsa_sleepdata,1.0,59,0.20495559001832797,ok
+analcatdata_supreme,1.0,273,0.0010478482173009729,ok
+colleges_aaup,1.0,37,0.00010402219140082103,ok
+wap.wc,1.0,40,?,not_applicable
+ipums_la_98-small,1.0,45,0.1405612507916869,ok
+hypothyroid,1.0,164,0.00027157459842586107,ok
+sylva_prior,1.0,50,0.00035914702581374414,ok
+ova_ovary,1.0,52,0.01998989680305996,ok
+car,1.0,53,?,not_applicable
+elevators,1.0,122,0.05192249912367086,ok
+ringnorm,1.0,56,0.004611494191194221,ok
+optdigits,1.0,60,?,not_applicable
+kin8nm,1.0,227,0.027273444208829156,ok
+re0.wc,1.0,63,?,not_applicable
+space_ga,1.0,183,0.06679967711966373,ok
+wall-robot-navigation,1.0,67,?,not_applicable
+pc1,1.0,68,0.11615091140313694,ok
+mfeat-fourier,1.0,71,?,not_applicable
+bank8fm,1.0,129,0.008309207869546142,ok
+first-order-theorem-proving,1.0,74,?,not_applicable
+eeg-eye-state,1.0,82,0.00501200567492921,ok
+re1.wc,1.0,77,?,not_applicable
+sick,1.0,80,0.0007976155493052417,ok
+ohscal.wc,1.0,84,?,not_applicable
+house_16h,1.0,88,0.05050614765799111,ok
+waveform-5000,1.0,89,?,not_applicable
+walking-activity,1.0,90,?,not_applicable
+bank32nh,1.0,363,0.10877419185936166,ok
+splice,1.0,92,?,not_applicable
+oh10.wc,1.0,93,?,not_applicable
+2dplanes,1.0,95,0.015018578376675529,ok
+kc1,1.0,136,0.16903371818420365,ok
+nursery,1.0,99,?,not_applicable
+cal_housing,1.0,211,0.041282912611327105,ok
+kr-vs-kp,1.0,107,7.236937328125581e-05,ok
+fried,1.0,109,0.011912347235347065,ok
+houses,1.0,110,0.0008155640317971669,ok
+pendigits,1.0,113,?,not_applicable
+pc3,1.0,272,0.14215401229440106,ok
+credit-g,1.0,179,0.20118938300756473,ok
+gina_prior2,1.0,116,?,not_applicable
+ova_breast,1.0,118,0.01289587605377085,ok
+jm1,1.0,187,0.2537896163896557,ok
+page-blocks,1.0,124,?,not_applicable
+letter,1.0,126,?,not_applicable
+mushroom,1.0,132,0.0,ok
+kddcup09_upselling,1.0,135,0.13495286025254738,ok
+pol,1.0,137,0.0006315469024589238,ok
+ailerons,1.0,139,0.04063053064162947,ok
+codrna,1.0,145,0.0025315308375581935,ok
+delta_ailerons,1.0,150,0.02211436849684123,ok
+imdb.drama,1.0,152,0.41524352522082464,ok
+kropt,1.0,156,?,not_applicable
+chess,1.0,159,?,not_applicable
+socmob,1.0,162,0.01986598344501389,ok
+wilt,1.0,163,0.0069040205766888185,ok
+musk,1.0,168,0.0,ok
+ova_uterus,1.0,193,0.054773816968938904,ok
+vehicle_sensit,1.0,174,0.07801659888081602,ok
+japanesevowels,1.0,177,0.00012941990181059015,ok
+ipums_la_99-small,1.0,298,0.10177688635272186,ok
+semeion,1.0,181,?,not_applicable
+isolet,1.0,184,?,not_applicable
+ova_kidney,1.0,256,0.003055920488947317,ok
+kr-vs-k,1.0,189,?,not_applicable
+gesturephasesegmentationprocessed,1.0,196,?,not_applicable
+fbis.wc,1.0,199,?,not_applicable
+mfeat-morphological,1.0,203,?,not_applicable
+yeast,1.0,206,?,not_applicable
+airlines,1.0,207,0.2750824723734884,ok
+puma32h,1.0,215,0.022855656269682556,ok
+delta_elevators,1.0,217,0.050985389610389786,ok
+twonorm,1.0,218,0.001194541081475875,ok
+mv,1.0,223,3.8951238356954576e-07,ok
+ozone-level-8hr,1.0,226,0.06530245346869723,ok
+pc2,1.0,232,0.15938253363403054,ok
+click_prediction_small,1.0,237,0.30124427895247907,ok
+visualizing_soil,1.0,239,0.0,ok
+spambase,1.0,241,0.011658021624780912,ok
+mc1,1.0,243,0.03146345753569224,ok
+ova_prostate,1.0,244,0.0,ok
+mnist_784,1.0,248,?,not_applicable
+ova_lung,1.0,253,0.03695017719407956,ok
+segment,1.0,258,?,not_applicable
+ldpa,1.0,274,?,not_applicable
+poker-hand,1.0,277,?,not_applicable
+la1s.wc,1.0,280,?,not_applicable
+abalone,1.0,288,?,not_applicable
+skin-segmentation,1.0,291,4.241221283507457e-06,ok
+ova_colon,1.0,294,0.028966931556011266,ok
+satimage,1.0,297,?,not_applicable
+qsar-biodeg,1.0,300,0.07775861436277565,ok
+sylva_agnostic,1.0,306,0.0010392963174684633,ok
+mfeat-factors,1.0,307,?,not_applicable
+one-hundred-plants-shape,1.0,312,?,not_applicable
+kdd_ipums_la_97-small,1.0,321,0.007972654303551208,ok
+new3s.wc,1.0,325,?,not_applicable
+la2s.wc,1.0,328,?,not_applicable
+magictelescope,1.0,331,0.05830771036972615,ok
+kddcup09_appetency,1.0,334,0.16475344537756154,ok
+one-hundred-plants-margin,1.0,338,?,not_applicable
+adult,1.0,344,0.085290931483747,ok
+bioresponse,1.0,348,0.13308842519145536,ok
+amazon_employee_access,1.0,349,0.14857355521175386,ok
+higgs,1.0,352,0.1980053598723278,ok
+oh0.wc,1.0,353,?,not_applicable
+kddcup09_churn,1.0,358,0.2669621656631299,ok
+ova_endometrium,1.0,365,0.05153374233128838,ok
+covertype,1.0,369,?,not_applicable
diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_costs.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_costs.arff
index 8512fd9275..75abfb3198 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_costs.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy NUMERIC
 
 @DATA
-2117,1.0,1e-05,1e-05,0.00076,1e-05,1e-05,0.0203,0.01805,2e-05,0.00163,2e-05,0.00065,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00021,2e-05,1e-05,4e-05,0.00015,0.0005,1e-05,2e-05,9e-05,0.00022,0.00015,0.00047,7e-05,8e-05,0.0001,0.00022,0.00077,8e-05,0.00017,0.00016,0.00035,0.01174
-2119,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00093,0.00082,1e-05,0.0001,1e-05,4e-05,1e-05,2e-05,2e-05,4e-05,6e-05,3e-05,2e-05,3e-05,1e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00046,0.0,0.0,0.00016,0.00024,6e-05,0.00045,7e-05,9e-05,9e-05,0.0002,0.00041,6e-05,7e-05,8e-05,0.0002,0.00046
-2120,1.0,1e-05,1e-05,0.00015,1e-05,1e-05,0.00253,0.00205,1e-05,0.0003,1e-05,0.0002,0.0,2e-05,2e-05,4e-05,7e-05,3e-05,2e-05,3e-05,1e-05,0.00015,2e-05,1e-05,3e-05,0.0001,0.00037,0.0,0.0,0.0001,0.00022,5e-05,0.00054,0.00011,0.00011,0.00011,0.00022,0.00051,8e-05,0.0001,0.00012,0.00021,0.00125
-2122,1.0,1e-05,1e-05,0.00069,1e-05,1e-05,0.01138,0.01061,1e-05,0.00062,1e-05,0.00018,0.0,2e-05,2e-05,5e-05,6e-05,2e-05,1e-05,3e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.00011,0.00022,1e-05,1e-05,5e-05,0.00011,5e-05,0.00045,6e-05,7e-05,9e-05,0.00023,0.00075,0.0001,0.00022,0.00014,0.00029,0.00646
-2123,1.0,1e-05,1e-05,8e-05,1e-05,1e-05,0.00078,0.0006,1e-05,0.00014,2e-05,9e-05,1e-05,4e-05,4e-05,9e-05,0.00012,4e-05,1e-05,5e-05,2e-05,0.00024,4e-05,1e-05,6e-05,0.00013,0.00031,1e-05,1e-05,8e-05,0.00015,6e-05,0.00038,7e-05,6e-05,8e-05,0.00017,0.00038,6e-05,7e-05,9e-05,0.00017,0.0006
-233,1.0,2e-05,2e-05,9e-05,2e-05,1e-05,0.00145,0.00109,2e-05,0.00027,1e-05,0.00013,1e-05,2e-05,2e-05,4e-05,7e-05,2e-05,1e-05,7e-05,3e-05,0.00022,2e-05,1e-05,5e-05,0.00014,0.00024,4e-05,1e-05,6e-05,9e-05,4e-05,0.00034,5e-05,6e-05,7e-05,0.00016,0.00049,6e-05,6e-05,0.00011,0.00027,0.00086
-2350,1.0,2e-05,1e-05,0.00203,2e-05,1e-05,1.07946,1.05309,6e-05,0.02144,9e-05,0.00509,1e-05,7e-05,7e-05,0.00017,0.00018,0.00011,1e-05,0.00019,3e-05,0.00018,2e-05,1e-05,4e-05,0.00012,0.00066,0.0,1e-05,0.00016,0.0004,9e-05,0.0012,0.00022,0.00023,0.00028,0.00047,0.00125,0.00022,0.00024,0.00031,0.00049,0.0495
-236,1.0,3e-05,2e-05,0.00128,2e-05,1e-05,0.01247,0.01146,2e-05,0.00072,2e-05,0.00035,1e-05,3e-05,2e-05,5e-05,8e-05,3e-05,2e-05,5e-05,3e-05,0.00029,2e-05,1e-05,4e-05,0.00021,0.00046,0.0,0.0,0.00012,0.00025,8e-05,0.0005,8e-05,8e-05,0.00011,0.00024,0.00066,9e-05,0.0001,0.00013,0.00034,0.00501
-242,1.0,2e-05,1e-05,0.00019,2e-05,1e-05,0.00702,0.00389,3e-05,0.00209,4e-05,0.00113,1e-05,0.00012,0.00016,0.00032,0.0003,0.00011,1e-05,0.00016,2e-05,0.00072,7e-05,3e-05,0.00021,0.00041,0.00111,1e-05,1e-05,0.00033,0.00062,0.00014,0.00087,0.00014,0.00015,0.00019,0.00038,0.00069,0.0001,0.00012,0.00015,0.00033,0.00197
-244,1.0,1e-05,1e-05,0.00013,2e-05,1e-05,0.0016,0.00109,1e-05,0.00035,2e-05,0.0002,1e-05,3e-05,5e-05,0.0001,8e-05,3e-05,1e-05,4e-05,1e-05,0.0002,2e-05,1e-05,4e-05,0.00012,0.00056,0.0,0.0,0.00016,0.00032,8e-05,0.00097,0.00022,0.00024,0.00017,0.00034,0.00098,0.00018,0.00024,0.00025,0.00032,0.00093
-246,1.0,1e-05,1e-05,0.0001,1e-05,1e-05,0.00123,0.00086,1e-05,0.00024,2e-05,0.00015,0.0,2e-05,2e-05,5e-05,7e-05,3e-05,1e-05,4e-05,1e-05,0.00019,2e-05,1e-05,4e-05,0.00012,0.00045,1e-05,0.0,0.00013,0.00024,7e-05,0.00072,0.00013,0.00012,0.00016,0.00031,0.0007,0.00011,0.00012,0.00015,0.00031,0.00056
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+ipums_la_99-small,1.0,3e-05,2e-05,0.0004,3e-05,2e-05,0.0173,0.01298,4e-05,0.00267,4e-05,0.00174,1e-05,7e-05,9e-05,0.00024,0.00027,8e-05,2e-05,0.00013,3e-05,0.00045,7e-05,2e-05,0.00011,0.00025,0.00077,6e-05,2e-05,0.00021,0.00034,0.00013,0.00077,0.00014,0.00013,0.00026,0.00023,0.00044,7e-05,8e-05,0.0001,0.00019,0.00649
+ipums_la_98-small,1.0,1e-05,1e-05,0.00017,1e-05,1e-05,0.00416,0.00305,1e-05,0.0006,2e-05,0.00054,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,4e-05,1e-05,0.00017,2e-05,1e-05,4e-05,0.0001,0.00029,5e-05,1e-05,6e-05,0.00012,6e-05,0.00081,0.00011,0.00015,0.00016,0.00038,0.0005,7e-05,8e-05,0.00012,0.00024,0.00184
+hypothyroid,1.0,1e-05,1e-05,0.00011,1e-05,1e-05,0.00192,0.00153,1e-05,0.00025,1e-05,0.00017,1e-05,2e-05,2e-05,5e-05,7e-05,2e-05,1e-05,5e-05,3e-05,0.00014,2e-05,1e-05,3e-05,8e-05,0.00029,1e-05,3e-05,6e-05,0.00012,7e-05,0.00041,6e-05,8e-05,0.0001,0.00017,0.00043,6e-05,7e-05,9e-05,0.00019,0.00092
+walking-activity,1.0,1e-05,1e-05,0.00375,1e-05,1e-05,0.04994,0.047,1e-05,0.00247,1e-05,0.00049,1e-05,2e-05,2e-05,6e-05,7e-05,2e-05,1e-05,3e-05,1e-05,0.00022,4e-05,1e-05,4e-05,0.00012,0.00041,0.0,1e-05,0.00011,0.00023,6e-05,0.00076,0.00012,0.00012,0.00019,0.00032,0.00086,0.00012,0.00013,0.00018,0.00043,0.04178
diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_runstatus.arff
index 5fff2dfed3..80cf7d65bb 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_runstatus.arff
@@ -46,135 +46,135 @@
 @ATTRIBUTE ClassEntropy {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_values.arff b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_values.arff
index 736dc64321..0fb92c9489 100644
--- a/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_values.arff
@@ -41,135 +41,135 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/algorithm_runs.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/algorithm_runs.arff
index 7a879d8934..0a6fb7e7e2 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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+swd,1.0,45,0.6297811316471744,ok
+bank32nh,1.0,52,0.08122627798176017,ok
+cpu_act,1.0,57,2.0775071768867686,ok
+yprop_4_1,1.0,59,0.025443684318295388,ok
+quake,1.0,62,0.17733832619563766,ok
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_costs.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_costs.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_runstatus.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_values.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_values.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/algorithm_runs.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/algorithm_runs.arff
index 7a879d8934..0a6fb7e7e2 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/algorithm_runs.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/algorithm_runs.arff
@@ -7,28 +7,28 @@
 @ATTRIBUTE runstatus {ok, timeout, memout, not_applicable, crash, other}
 
 @DATA
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+swd,1.0,45,0.6297811316471744,ok
+bank32nh,1.0,52,0.08122627798176017,ok
+cpu_act,1.0,57,2.0775071768867686,ok
+yprop_4_1,1.0,59,0.025443684318295388,ok
+quake,1.0,62,0.17733832619563766,ok
+mv,1.0,66,0.028494262593490697,ok
+puma32h,1.0,70,0.006464149077948385,ok
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_costs.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_costs.arff
index 2c1c95a875..fa80a06fc9 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_costs.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_costs.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD NUMERIC
 
 @DATA
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+space_ga,1.0,2e-05,2e-05,3e-05,2e-05,0.00597,0.00541,3e-05,0.0005,3e-05,0.00014,1e-05,5e-05,5e-05,0.00014,0.00022,7e-05,2e-05,0.0001,3e-05,0.0031,1e-05,1e-05,0.00113,0.00174,0.0002,0.00113,0.00022,0.00019,0.00023,0.00049,0.00086,0.00013,0.00015,0.00026,0.00033
+bank32nh,1.0,2e-05,1e-05,3e-05,1e-05,0.01016,0.00811,2e-05,0.00138,2e-05,0.00073,1e-05,4e-05,4e-05,8e-05,0.00011,4e-05,2e-05,6e-05,3e-05,0.00083,1e-05,1e-05,0.00022,0.00043,0.00017,0.00079,0.00011,0.00012,0.00016,0.00039,0.00104,0.00012,0.00013,0.00022,0.00058
+cpu_small,1.0,1e-05,1e-05,3e-05,3e-05,0.00448,0.00395,1e-05,0.0004,1e-05,0.00017,1e-05,2e-05,2e-05,7e-05,8e-05,3e-05,1e-05,4e-05,2e-05,0.00042,0.0,0.0,0.00011,0.00023,7e-05,0.00179,0.00025,0.00035,0.00044,0.00075,0.00072,0.00011,0.00012,0.00016,0.00033
+fried,1.0,2e-05,1e-05,3e-05,1e-05,0.04525,0.04018,2e-05,0.00396,2e-05,0.00116,1e-05,5e-05,7e-05,9e-05,0.00015,6e-05,1e-05,0.00013,7e-05,0.00092,1e-05,1e-05,0.00032,0.00045,0.00014,0.00082,0.00012,0.00013,0.00017,0.0004,0.00076,0.00011,0.00012,0.00016,0.00036
+cpu_act,1.0,1e-05,1e-05,2e-05,1e-05,0.00802,0.00665,2e-05,0.00093,2e-05,0.00048,1e-05,3e-05,3e-05,7e-05,0.0001,6e-05,1e-05,5e-05,2e-05,0.00112,0.0,1e-05,0.00034,0.00066,0.00011,0.00041,8e-05,7e-05,8e-05,0.00018,0.00046,6e-05,7e-05,9e-05,0.00025
+house_16h,1.0,3e-05,2e-05,4e-05,2e-05,0.02994,0.02648,3e-05,0.00238,4e-05,0.00116,1e-05,4e-05,5e-05,8e-05,0.00011,5e-05,2e-05,0.0001,4e-05,0.00089,1e-05,1e-05,0.00026,0.00049,0.00012,0.00077,0.00013,0.00012,0.00016,0.00036,0.00092,0.00019,0.00013,0.00017,0.00042
+swd,1.0,3e-05,2e-05,4e-05,3e-05,0.00228,0.00193,3e-05,0.00033,3e-05,0.0001,1e-05,7e-05,6e-05,0.00015,0.00018,7e-05,2e-05,9e-05,3e-05,0.00126,1e-05,1e-05,0.00037,0.00068,0.0002,0.00076,0.00011,0.00013,0.00018,0.00034,0.00094,0.00017,0.0002,0.00019,0.00039
+era,1.0,2e-05,2e-05,1e-05,1e-05,0.00067,0.00056,1e-05,0.0001,1e-05,3e-05,0.0,5e-05,2e-05,4e-05,6e-05,2e-05,1e-05,4e-05,1e-05,0.00044,0.0,0.0,0.00013,0.00023,7e-05,0.00146,0.00027,0.0002,0.00037,0.00062,0.0012,0.00018,0.00025,0.00042,0.00035
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_runstatus.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_runstatus.arff
index 0166848554..bf7eccfaba 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_runstatus.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_runstatus.arff
@@ -39,28 +39,28 @@
 @ATTRIBUTE SkewnessSTD {ok, timeout, memout, presolved, crash, other}
 
 @DATA
-2280,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2288,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2289,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2292,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2300,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2306,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2307,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2309,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2313,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-2315,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4768,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4769,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4772,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4774,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4779,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4790,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4796,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4835,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4881,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4883,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4885,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4892,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-4893,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5022,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
-5024,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+kin8nm,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+delta_elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+pol,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+quake,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+2dplanes,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+elevators,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_8l,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma8nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+wine_quality,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+ailerons,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+puma32h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mv,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+mtp,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+yprop_4_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+topo_2_1,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+space_ga,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+bank32nh,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_small,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+fried,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+cpu_act,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+house_16h,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+swd,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
+era,1.0,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,ok,other,ok,ok,ok,ok,other,ok,ok,ok,ok
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_values.arff b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_values.arff
index ee955516b5..af42d6ca50 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_values.arff
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/feature_values.arff
@@ -35,28 +35,28 @@
 @ATTRIBUTE SymbolsSum NUMERIC
 
 @DATA
-2280,1.0,0.0010851871947911015,921.5,-1.1797564029693604,-1.190689817070961,-1.1985208988189697,0.0060950440303903395,-6.826002777109878,6.826002777109878,2.0794415416798357,8.905444318789714,0.0,8.0,0.0,7372.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.008798676542937756,-0.0038526186399394646,-0.0407424159348011,0.015143119053091186,0.0,0.0,0.0,0.0,0.0
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-2289,1.0,0.0007005253940455342,1427.5,3.8708541701186707,0.5770136333416925,-0.5455377101898193,1.514098932219528,-7.263679941530166,7.263679941530166,1.791759469228055,9.05543941075822,0.0,6.0,0.0,8565.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.1560402661561966,-0.016865503663818043,-0.2020374983549118,0.12720079030991352,0.0,0.0,0.0,0.0,0.0
-2292,1.0,0.0035555555555555557,281.25,145.91824340820312,35.029844325087716,-0.08190560340881348,37.38114065131407,-5.63924395351863,5.63924395351863,3.871201010907891,9.51044496442652,0.0,48.0,0.0,13500.0,0.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,11.55811595916748,4.7866563223875485,0.312971293926239,2.954179637242707,0.0,0.0,0.0,0.0,0.0
-2300,1.0,0.001530612244897959,653.3333333333334,10.75415325164795,3.037913719813029,-0.8339674472808838,5.456216867674973,-6.482087463556454,6.482087463556454,1.0986122886681098,7.580699752224563,0.0,3.0,0.0,1960.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,3.2692196369171143,0.8182759806513786,-0.8448458909988403,1.7695349982848938,0.0,0.0,0.0,0.0,0.0
-2306,1.0,0.00027254640102477445,3669.1,-1.4945788383483887,-1.551127922614009,-1.9997817278428869,0.1496086559872187,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.008097056299448013,-0.003387603040027898,-0.01477236207574606,0.006694665784955573,0.0,0.0,0.0,0.0,0.0
-2307,1.0,0.0012048999263672268,829.9444444444445,10153.650859034122,904.6605713998932,-0.5558359622955322,2638.8996453562218,-6.721358764146153,6.721358764146153,2.8903717578961645,9.611730522042317,0.0,18.0,0.0,14939.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,98.37425994873047,9.214396099042562,-1.4717762470245361,27.971043843371962,0.0,0.0,0.0,0.0,0.0
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+fried,1.0,0.00027254640102477445,3669.1,-1.188598230219335,-1.1964564993963673,-1.2026724815368652,0.003664290259953897,-8.2077016793668,8.2077016793668,2.302585092994046,10.510286772360844,0.0,10.0,0.0,36691.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.018026534467935562,0.0004419666947796941,-0.011050965636968613,0.007399082491716184,0.0,0.0,0.0,0.0,0.0
+cpu_act,1.0,0.0028486163863266412,351.04761904761904,576.329345703125,81.51044419461924,0.9639408588409424,139.3485299654942,-5.860921881066291,5.860921881066291,3.044522437723423,8.905444318789714,0.0,21.0,0.0,7372.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,20.96137046813965,5.398353062924885,-0.7831974029541016,4.943832847158382,0.0,0.0,0.0,0.0,0.0
+house_16h,1.0,0.0007802974884174591,1281.5625,6719.606795643044,437.862979925658,-1.0920182685895878,1622.03517764269,-7.155835315586378,7.155835315586378,2.772588722239781,9.92842403782616,0.0,16.0,0.0,20505.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,70.76852416992188,5.9781048079021275,-5.867455959320068,16.97724081800652,0.0,0.0,0.0,0.0,0.0
+swd,1.0,0.011111111111111112,90.0,-1.0762021359915683,-1.3324955659833357,-1.9520033311864657,0.2528537963602448,-4.499809670330265,4.499809670330265,2.302585092994046,6.802394763324311,0.0,10.0,0.0,900.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.33015167713165283,0.019484431575983764,-0.31836414337158203,0.19549899975606772,0.0,0.0,0.0,0.0,0.0
+era,1.0,0.0044444444444444444,225.0,-0.866234540939331,-1.0928374249016086,-1.3201078176498413,0.16201579691665904,-5.41610040220442,5.41610040220442,1.3862943611198906,6.802394763324311,0.0,4.0,0.0,900.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.28722548484802246,0.05653903912752867,-0.35667797923088074,0.256064936877358,0.0,0.0,0.0,0.0,0.0
diff --git a/autosklearn/metalearning/metalearning/meta_base.py b/autosklearn/metalearning/metalearning/meta_base.py
index 81a3eb940d..ada0598f07 100644
--- a/autosklearn/metalearning/metalearning/meta_base.py
+++ b/autosklearn/metalearning/metalearning/meta_base.py
@@ -58,11 +58,11 @@ def add_dataset(self, name, metafeatures):
         if isinstance(metafeatures, DatasetMetafeatures):
             data_ = {mf.name: mf.value for mf in metafeatures.metafeature_values.values()}
             metafeatures = pd.Series(name=name, data=data_)
-        if name in self.metafeatures.index:
+        if name.lower() in self.metafeatures.index:
             self.logger.warning(
                 'Dataset %s already in meta-data. Removing occurence.', name
             )
-            self.metafeatures.drop(name, inplace=True)
+            self.metafeatures.drop(name.lower(), inplace=True)
         self.metafeatures = self.metafeatures.append(metafeatures)
 
         runs = pd.Series([], name=name)
diff --git a/autosklearn/smbo.py b/autosklearn/smbo.py
index cbb353177c..d22ae6787d 100644
--- a/autosklearn/smbo.py
+++ b/autosklearn/smbo.py
@@ -7,7 +7,6 @@
 import warnings
 
 import dask.distributed
-import numpy as np
 import pynisher
 
 from smac.facade.smac_ac_facade import SMAC4AC
@@ -632,8 +631,6 @@ def get_metalearning_suggestions(self):
                     for meta_feature_name in all_metafeatures.columns:
                         meta_features_list.append(
                             meta_features[meta_feature_name].value)
-                    meta_features_list = np.array(meta_features_list).reshape(
-                        (1, -1))
                     self.logger.info(list(meta_features_dict.keys()))
 
             else:
@@ -644,6 +641,5 @@ def get_metalearning_suggestions(self):
         else:
             meta_features = None
         if meta_features is None:
-            meta_features_list = []
             metalearning_configurations = []
         return metalearning_configurations
diff --git a/scripts/03_calculate_metafeatures.py b/scripts/03_calculate_metafeatures.py
index 6808a21399..8850079cba 100644
--- a/scripts/03_calculate_metafeatures.py
+++ b/scripts/03_calculate_metafeatures.py
@@ -25,7 +25,7 @@
 
 
 def calculate_metafeatures(task_id):
-    X_train, y_train, X_test, y_test, cat, task_type = load_task(task_id)
+    X_train, y_train, X_test, y_test, cat, task_type, dataset_name = load_task(task_id)
     watch = StopWatch()
 
     if task_type == 'classification':
@@ -38,13 +38,13 @@ def calculate_metafeatures(task_id):
 
     _metafeatures_labels = _calculate_metafeatures(
         x_train=X_train, y_train=y_train, data_feat_type=cat,
-        data_info_task=task_type, basename=str(task_id), logger=logger,
+        data_info_task=task_type, basename=dataset_name, logger=logger,
         watcher=watch,
     )
 
     _metafeatures_encoded_labels = _calculate_metafeatures_encoded(
         x_train=X_train, y_train=y_train, data_feat_type=cat,
-        task=task_type, basename=str(task_id), logger=logger,
+        task=task_type, basename=dataset_name, logger=logger,
         watcher=watch,
     )
 
@@ -248,5 +248,5 @@ def producer():
 
         with open(os.path.join(output_directory,
                                "description.features.txt"), "w") as fh:
-            for task_id in description:
-                fh.write("%s: %s\n" % (task_id, description[task_id]))
+            for entry in description:
+                fh.write("%s: %s\n" % (entry, description[entry]))
diff --git a/scripts/run_auto-sklearn_for_metadata_generation.py b/scripts/run_auto-sklearn_for_metadata_generation.py
index 9ff715db2b..52843e57e0 100644
--- a/scripts/run_auto-sklearn_for_metadata_generation.py
+++ b/scripts/run_auto-sklearn_for_metadata_generation.py
@@ -41,7 +41,7 @@
     metric = args.metric
     is_test = args.unittest
 
-    X_train, y_train, X_test, y_test, cat, task_type = load_task(task_id)
+    X_train, y_train, X_test, y_test, cat, task_type, dataset_name = load_task(task_id)
 
     configuration_output_dir = os.path.join(working_directory, 'configuration',
                                             task_type)
@@ -69,8 +69,9 @@
     if is_test:
         automl_arguments['resampling_strategy_arguments'] = {'folds': 2}
         if task_type == 'classification':
-            automl_arguments['include_estimators'] = ['sgd']
-            include = {'classifier': ['sgd']}
+            automl_arguments['include_estimators'] = ['libsvm_svc']
+            automl_arguments['include_preprocessors'] = ['no_preprocessing']
+            include = {'classifier': ['libsvm_svc'], 'feature_preprocessor': ['no_preprocessing']}
         elif task_type == 'regression':
             automl_arguments['include_estimators'] = ['extra_trees']
             automl_arguments['include_preprocessors'] = ['no_preprocessing']
@@ -100,7 +101,7 @@
     else:
         raise ValueError(task_type)
 
-    automl.fit(X_train, y_train, dataset_name=str(task_id),
+    automl.fit(X_train, y_train, dataset_name=dataset_name,
                feat_type=cat, X_test=X_test, y_test=y_test)
     trajectory = automl.trajectory_
 
diff --git a/scripts/update_metadata_util.py b/scripts/update_metadata_util.py
index bad3d2b235..604d13348d 100644
--- a/scripts/update_metadata_util.py
+++ b/scripts/update_metadata_util.py
@@ -31,6 +31,7 @@ def load_task(task_id):
     y_test = y[test_indices]
     dataset = openml.datasets.get_dataset(task.dataset_id)
     _, _, cat, _ = dataset.get_data(target=task.target_name)
+    name = dataset.name.lower()
     del _
     del dataset
     cat = ['categorical' if c else 'numerical' for c in cat]
@@ -42,4 +43,4 @@ def load_task(task_id):
     else:
         raise ValueError('Unknown task type')
 
-    return X_train, y_train, X_test, y_test, cat, task_type
+    return X_train, y_train, X_test, y_test, cat, task_type, name
diff --git a/test/test_scripts/test_metadata_generation.py b/test/test_scripts/test_metadata_generation.py
index 30a8bfb8af..3d6db1712d 100644
--- a/test/test_scripts/test_metadata_generation.py
+++ b/test/test_scripts/test_metadata_generation.py
@@ -26,7 +26,9 @@ def print_files(self):
     def test_metadata_generation(self):
 
         regression_task_id = 5022
+        regression_dataset_name = 'SWD'.lower()
         classification_task_id = 75222
+        classification_dataset_name = 'analcatdata_halloffame'.lower()
 
         current_directory = __file__
         scripts_directory = os.path.abspath(os.path.join(current_directory,
@@ -56,20 +58,29 @@ def test_metadata_generation(self):
             # 6 regression, 11 classification (roc_auc + task 258 is illegal), 1 empty line
             self.assertEqual(len(cmds), 18, msg='\n'.join(cmds))
 
-        for task_id, task_type, metric in (
-                (classification_task_id, 'classification', 'accuracy'),
-                (regression_task_id, 'regression', 'r2')
+        for task_id, dataset_name, task_type, metric in (
+            (
+                classification_task_id,
+                classification_dataset_name,
+                'classification',
+                'balanced_accuracy',
+            ),
+            (regression_task_id, regression_dataset_name, 'regression', 'r2')
         ):
+            cmd = None
             with open(commands_output_file) as fh:
                 while True:
                     cmd = fh.readline()
-                    if 'task-id %d' % task_id in cmd:
+                    if 'task-id %d' % task_id in cmd and metric in cmd:
                         break
+            if cmd is None:
+                self.fail('Did not find a command for task_id %s and metric %s in %s'
+                          % (task_id, metric, cmds))
 
             self.assertIn('time-limit 86400', cmd)
             self.assertIn('per-run-time-limit 1800', cmd)
             cmd = cmd.replace('time-limit 86400', 'time-limit 60').replace(
-                'per-run-time-limit 1800', 'per-run-time-limit 7')
+                'per-run-time-limit 1800', 'per-run-time-limit 5')
             # This tells the script to use the same memory limit for testing as
             # for training. In production, it would use twice as much!
             cmd = cmd.replace('-s 1', '-s 1 --unittest')
@@ -88,7 +99,7 @@ def test_metadata_generation(self):
                                                      'auto-sklearn-output')
             self.assertTrue(os.path.exists(expected_output_directory),
                             msg=expected_output_directory)
-            smac_log = os.path.join(expected_output_directory, 'AutoML(1):%d.log' % task_id)
+            smac_log = os.path.join(expected_output_directory, 'AutoML(1):%s.log' % dataset_name)
             with open(smac_log) as fh:
                 smac_output = fh.read()
             self.assertEqual(rval.returncode, 0, msg=str(rval) + '\n' + smac_output)
@@ -183,7 +194,7 @@ def test_metadata_generation(self):
             metafeatures_arff = fh.read().split('\n')
             contains_regression_id = False
             for line in metafeatures_arff:
-                if line.startswith('2280,'):
+                if line.startswith('kin8nm,'):
                     contains_regression_id = True
             self.assertTrue(contains_regression_id, msg=metafeatures_arff)
 
@@ -195,7 +206,7 @@ def test_metadata_generation(self):
             metafeatures_arff = fh.read().split('\n')
             contains_classification_id = False
             for line in metafeatures_arff:
-                if line.startswith('233,'):
+                if line.startswith('kr-vs-kp,'):
                     contains_classification_id = True
             self.assertTrue(contains_classification_id, msg=metafeatures_arff)
 
@@ -207,18 +218,22 @@ def test_metadata_generation(self):
                               stderr=subprocess.PIPE)
         self.assertEqual(rval.returncode, 0, msg=str(rval))
 
-        for metric, combination in (
-            ('accuracy', 'accuracy_binary.classification_dense'),
-            ('r2', 'r2_regression_dense'),
+        for metric_, combination in (
+            (metric, '%s_binary.classification_dense' % metric),
+            (metric, '%s_regression_dense' % metric),
         ):
+
+            if task_type not in combination:
+                continue
+
             for file in ['algorithm_runs.arff', 'configurations.csv',
                          'description.txt', 'feature_costs.arff',
                          'feature_runstatus.arff', 'feature_values.arff',
                          'readme.txt']:
-                self.assertTrue(os.path.exists(os.path.join(self.working_directory,
-                                                            'metadata',
-                                                            combination,
-                                                            file)))
+                expected_path = os.path.join(
+                    self.working_directory, 'metadata', combination, file,
+                )
+                self.assertTrue(os.path.exists(expected_path), msg=expected_path)
 
             with open(os.path.join(self.working_directory,
                                    'metadata',
@@ -229,7 +244,7 @@ def test_metadata_generation(self):
                                  [('instance_id', 'STRING'),
                                   ('repetition', 'NUMERIC'),
                                   ('algorithm', 'STRING'),
-                                  (metric, 'NUMERIC'),
+                                  (metric_, 'NUMERIC'),
                                   ('runstatus',
                                    ['ok', 'timeout', 'memout', 'not_applicable',
                                     'crash', 'other'])])