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har-svm-0.log
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har-svm-0.log
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Data set: har
Algorithm: svm
Loading har data set...
Creating SVM hyper classifier...
Running trial 0...
Creating trial data...
Scaling data for SVM...
Applying classifier to trial...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(1.000000e-09)
parameters: {'kernel': 'poly', 'C': 1.0000000000000001e-09, 'degree': 2}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(6.309573e-07)
parameters: {'kernel': 'poly', 'C': 6.3095734448019296e-07, 'degree': 2}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(3.981072e-04)
parameters: {'kernel': 'poly', 'C': 0.00039810717055349692, 'degree': 2}
ml ce: 0.81317229666
ml rmse: 2.95764910749
sk acc: 0.18682770334
sk f1: 0.0618141590872
sk prec: 0.176683958866
sk recl: 0.18682770334
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.507284768212
sk auc: 0.507284768212
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.501273148148
sk auc: 0.501273148148
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(2.511886e-01)
parameters: {'kernel': 'poly', 'C': 0.25118864315095718, 'degree': 2}
ml ce: 0.0996414417815
ml rmse: 0.422967705105
sk acc: 0.900358558219
sk f1: 0.898719262525
sk prec: 0.907312122731
sk recl: 0.900358558219
label: 1
ml auc: 0.986345762329
sk auc: 0.986345762329
label: 2
ml auc: 0.963908447391
sk auc: 0.963908447391
label: 3
ml auc: 0.840839532226
sk auc: 0.840839532226
label: 4
ml auc: 0.912064554067
sk auc: 0.912064554067
label: 5
ml auc: 0.94070483345
sk auc: 0.94070483345
label: 6
ml auc: 0.979850234555
sk auc: 0.979850234555
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(1.584893e+02)
parameters: {'kernel': 'poly', 'C': 158.48931924611108, 'degree': 2}
ml ce: 0.0720890734101
ml rmse: 0.375459710673
sk acc: 0.92791092659
sk f1: 0.927502238288
sk prec: 0.930819635836
sk recl: 0.92791092659
label: 1
ml auc: 0.980953451421
sk auc: 0.980953451421
label: 2
ml auc: 0.966707372604
sk auc: 0.966707372604
label: 3
ml auc: 0.900112075599
sk auc: 0.900112075599
label: 4
ml auc: 0.937629962617
sk auc: 0.937629962617
label: 5
ml auc: 0.956508791139
sk auc: 0.956508791139
label: 6
ml auc: 0.987626853743
sk auc: 0.987626853743
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.584893e+02).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.000000e+05).pickle", building and running classifier...
run: kernel(poly)-degree(2)-C(1.000000e+05)
parameters: {'kernel': 'poly', 'C': 100000.0, 'degree': 2}
ml ce: 0.0720890734101
ml rmse: 0.375459710673
sk acc: 0.92791092659
sk f1: 0.927502238288
sk prec: 0.930819635836
sk recl: 0.92791092659
label: 1
ml auc: 0.980953451421
sk auc: 0.980953451421
label: 2
ml auc: 0.966707372604
sk auc: 0.966707372604
label: 3
ml auc: 0.900112075599
sk auc: 0.900112075599
label: 4
ml auc: 0.937629962617
sk auc: 0.937629962617
label: 5
ml auc: 0.956508791139
sk auc: 0.956508791139
label: 6
ml auc: 0.987626853743
sk auc: 0.987626853743
Saving result "runs/har/0/svm/kernel(poly)-degree(2)-C(1.000000e+05).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(1.000000e-09)
parameters: {'kernel': 'poly', 'C': 1.0000000000000001e-09, 'degree': 3}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(6.309573e-07)
parameters: {'kernel': 'poly', 'C': 6.3095734448019296e-07, 'degree': 3}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(3.981072e-04)
parameters: {'kernel': 'poly', 'C': 0.00039810717055349692, 'degree': 3}
ml ce: 0.808265710511
ml rmse: 2.93558575247
sk acc: 0.191734289489
sk f1: 0.0717557782245
sk prec: 0.230781673563
sk recl: 0.191734289489
label: 1
ml auc: 0.505458557743
sk auc: 0.505458557743
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.513907284768
sk auc: 0.513907284768
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.499308118081
sk auc: 0.499308118081
label: 6
ml auc: 0.508796296296
sk auc: 0.508796296296
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(2.511886e-01)
parameters: {'kernel': 'poly', 'C': 0.25118864315095718, 'degree': 3}
ml ce: 0.116814493301
ml rmse: 0.444716949023
sk acc: 0.883185506699
sk f1: 0.881277342157
sk prec: 0.895095686215
sk recl: 0.883185506699
label: 1
ml auc: 0.978837053009
sk auc: 0.978837053009
label: 2
ml auc: 0.954842752148
sk auc: 0.954842752148
label: 3
ml auc: 0.832230260703
sk auc: 0.832230260703
label: 4
ml auc: 0.893256442527
sk auc: 0.893256442527
label: 5
ml auc: 0.938575422553
sk auc: 0.938575422553
label: 6
ml auc: 0.964133493171
sk auc: 0.964133493171
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(1.584893e+02)
parameters: {'kernel': 'poly', 'C': 158.48931924611108, 'degree': 3}
ml ce: 0.0843555387809
ml rmse: 0.373191051168
sk acc: 0.915644461219
sk f1: 0.915188298268
sk prec: 0.920579070043
sk recl: 0.915644461219
label: 1
ml auc: 0.977048647735
sk auc: 0.977048647735
label: 2
ml auc: 0.951822735364
sk auc: 0.951822735364
label: 3
ml auc: 0.883557824597
sk auc: 0.883557824597
label: 4
ml auc: 0.942958398299
sk auc: 0.942958398299
label: 5
ml auc: 0.953914533304
sk auc: 0.953914533304
label: 6
ml auc: 0.974463738509
sk auc: 0.974463738509
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.584893e+02).pickle"...
No cached result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.000000e+05).pickle", building and running classifier...
run: kernel(poly)-degree(3)-C(1.000000e+05)
parameters: {'kernel': 'poly', 'C': 100000.0, 'degree': 3}
ml ce: 0.0843555387809
ml rmse: 0.373191051168
sk acc: 0.915644461219
sk f1: 0.915188298268
sk prec: 0.920579070043
sk recl: 0.915644461219
label: 1
ml auc: 0.977048647735
sk auc: 0.977048647735
label: 2
ml auc: 0.951822735364
sk auc: 0.951822735364
label: 3
ml auc: 0.883557824597
sk auc: 0.883557824597
label: 4
ml auc: 0.942958398299
sk auc: 0.942958398299
label: 5
ml auc: 0.953914533304
sk auc: 0.953914533304
label: 6
ml auc: 0.974463738509
sk auc: 0.974463738509
Saving result "runs/har/0/svm/kernel(poly)-degree(3)-C(1.000000e+05).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(1.000000e-09)
parameters: {'kernel': 'rbf', 'C': 1.0000000000000001e-09, 'gamma': 0.001}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(6.309573e-07)
parameters: {'kernel': 'rbf', 'C': 6.3095734448019296e-07, 'gamma': 0.001}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(3.981072e-04)
parameters: {'kernel': 'rbf', 'C': 0.00039810717055349692, 'gamma': 0.001}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(2.511886e-01)
parameters: {'kernel': 'rbf', 'C': 0.25118864315095718, 'gamma': 0.001}
ml ce: 0.0743536516324
ml rmse: 0.336495038768
sk acc: 0.925646348368
sk f1: 0.924850821596
sk prec: 0.928136065206
sk recl: 0.925646348368
label: 1
ml auc: 0.987493867954
sk auc: 0.987493867954
label: 2
ml auc: 0.97654453631
sk auc: 0.97654453631
label: 3
ml auc: 0.894043815875
sk auc: 0.894043815875
label: 4
ml auc: 0.931970943028
sk auc: 0.931970943028
label: 5
ml auc: 0.9387403103
sk auc: 0.9387403103
label: 6
ml auc: 0.993639815761
sk auc: 0.993639815761
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(1.584893e+02)
parameters: {'kernel': 'rbf', 'C': 158.48931924611108, 'gamma': 0.001}
ml ce: 0.0505755802982
ml rmse: 0.260285673477
sk acc: 0.949424419702
sk f1: 0.949271453896
sk prec: 0.950408832678
sk recl: 0.949424419702
label: 1
ml auc: 0.991003783459
sk auc: 0.991003783459
label: 2
ml auc: 0.978957727292
sk auc: 0.978957727292
label: 3
ml auc: 0.942828327581
sk auc: 0.942828327581
label: 4
ml auc: 0.943742412258
sk auc: 0.943742412258
label: 5
ml auc: 0.959392231189
sk auc: 0.959392231189
label: 6
ml auc: 0.99681990788
sk auc: 0.99681990788
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.584893e+02).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.000000e+05).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.001)-C(1.000000e+05)
parameters: {'kernel': 'rbf', 'C': 100000.0, 'gamma': 0.001}
ml ce: 0.0505755802982
ml rmse: 0.260285673477
sk acc: 0.949424419702
sk f1: 0.949269449031
sk prec: 0.950429096143
sk recl: 0.949424419702
label: 1
ml auc: 0.991003783459
sk auc: 0.991003783459
label: 2
ml auc: 0.978957727292
sk auc: 0.978957727292
label: 3
ml auc: 0.942828327581
sk auc: 0.942828327581
label: 4
ml auc: 0.943299229928
sk auc: 0.943299229928
label: 5
ml auc: 0.959796128335
sk auc: 0.959796128335
label: 6
ml auc: 0.99681990788
sk auc: 0.99681990788
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.001)-C(1.000000e+05).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(1.000000e-09)
parameters: {'kernel': 'rbf', 'C': 1.0000000000000001e-09, 'gamma': 0.01}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(6.309573e-07)
parameters: {'kernel': 'rbf', 'C': 6.3095734448019296e-07, 'gamma': 0.01}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(3.981072e-04)
parameters: {'kernel': 'rbf', 'C': 0.00039810717055349692, 'gamma': 0.01}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(2.511886e-01)
parameters: {'kernel': 'rbf', 'C': 0.25118864315095718, 'gamma': 0.01}
ml ce: 0.183242121155
ml rmse: 0.74219852639
sk acc: 0.816757878845
sk f1: 0.828317622046
sk prec: 0.861497383262
sk recl: 0.816757878845
label: 1
ml auc: 0.899277715031
sk auc: 0.899277715031
label: 2
ml auc: 0.834949967448
sk auc: 0.834949967448
label: 3
ml auc: 0.856735903834
sk auc: 0.856735903834
label: 4
ml auc: 0.908926473989
sk auc: 0.908926473989
label: 5
ml auc: 0.919874254233
sk auc: 0.919874254233
label: 6
ml auc: 0.918678947717
sk auc: 0.918678947717
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(1.584893e+02)
parameters: {'kernel': 'rbf', 'C': 158.48931924611108, 'gamma': 0.01}
ml ce: 0.118701641819
ml rmse: 0.603036913905
sk acc: 0.881298358181
sk f1: 0.885711586939
sk prec: 0.896663762609
sk recl: 0.881298358181
label: 1
ml auc: 0.932892603897
sk auc: 0.932892603897
label: 2
ml auc: 0.929228117579
sk auc: 0.929228117579
label: 3
ml auc: 0.888421963903
sk auc: 0.888421963903
label: 4
ml auc: 0.929152187016
sk auc: 0.929152187016
label: 5
ml auc: 0.946584632318
sk auc: 0.946584632318
label: 6
ml auc: 0.943820224719
sk auc: 0.943820224719
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.584893e+02).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.000000e+05).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.01)-C(1.000000e+05)
parameters: {'kernel': 'rbf', 'C': 100000.0, 'gamma': 0.01}
ml ce: 0.118701641819
ml rmse: 0.603036913905
sk acc: 0.881298358181
sk f1: 0.885711586939
sk prec: 0.896663762609
sk recl: 0.881298358181
label: 1
ml auc: 0.932892603897
sk auc: 0.932892603897
label: 2
ml auc: 0.929228117579
sk auc: 0.929228117579
label: 3
ml auc: 0.888421963903
sk auc: 0.888421963903
label: 4
ml auc: 0.929152187016
sk auc: 0.929152187016
label: 5
ml auc: 0.946584632318
sk auc: 0.946584632318
label: 6
ml auc: 0.943820224719
sk auc: 0.943820224719
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.01)-C(1.000000e+05).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(1.000000e-09)
parameters: {'kernel': 'rbf', 'C': 1.0000000000000001e-09, 'gamma': 0.1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(6.309573e-07)
parameters: {'kernel': 'rbf', 'C': 6.3095734448019296e-07, 'gamma': 0.1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(3.981072e-04)
parameters: {'kernel': 'rbf', 'C': 0.00039810717055349692, 'gamma': 0.1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(2.511886e-01)
parameters: {'kernel': 'rbf', 'C': 0.25118864315095718, 'gamma': 0.1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(1.584893e+02)
parameters: {'kernel': 'rbf', 'C': 158.48931924611108, 'gamma': 0.1}
ml ce: 0.814870730326
ml rmse: 2.96074206639
sk acc: 0.185129269674
sk f1: 0.0583925719653
sk prec: 0.215878532476
sk recl: 0.185129269674
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.501038421599
sk auc: 0.501038421599
label: 6
ml auc: 0.500231481481
sk auc: 0.500231481481
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.584893e+02).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.000000e+05).pickle", building and running classifier...
run: kernel(rbf)-gamma(0.1)-C(1.000000e+05)
parameters: {'kernel': 'rbf', 'C': 100000.0, 'gamma': 0.1}
ml ce: 0.814870730326
ml rmse: 2.96074206639
sk acc: 0.185129269674
sk f1: 0.0583925719653
sk prec: 0.215878532476
sk recl: 0.185129269674
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.501038421599
sk auc: 0.501038421599
label: 6
ml auc: 0.500231481481
sk auc: 0.500231481481
Saving result "runs/har/0/svm/kernel(rbf)-gamma(0.1)-C(1.000000e+05).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(1.000000e-09).pickle", building and running classifier...
run: kernel(rbf)-gamma(1)-C(1.000000e-09)
parameters: {'kernel': 'rbf', 'C': 1.0000000000000001e-09, 'gamma': 1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(1.000000e-09).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(6.309573e-07).pickle", building and running classifier...
run: kernel(rbf)-gamma(1)-C(6.309573e-07)
parameters: {'kernel': 'rbf', 'C': 6.3095734448019296e-07, 'gamma': 1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(6.309573e-07).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(3.981072e-04).pickle", building and running classifier...
run: kernel(rbf)-gamma(1)-C(3.981072e-04)
parameters: {'kernel': 'rbf', 'C': 0.00039810717055349692, 'gamma': 1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(3.981072e-04).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(2.511886e-01).pickle", building and running classifier...
run: kernel(rbf)-gamma(1)-C(2.511886e-01)
parameters: {'kernel': 'rbf', 'C': 0.25118864315095718, 'gamma': 1}
ml ce: 0.81524816003
ml rmse: 2.96080580474
sk acc: 0.18475183997
sk f1: 0.0576209147278
sk prec: 0.0341332423722
sk recl: 0.18475183997
label: 1
ml auc: 0.5
sk auc: 0.5
label: 2
ml auc: 0.5
sk auc: 0.5
label: 3
ml auc: 0.5
sk auc: 0.5
label: 4
ml auc: 0.5
sk auc: 0.5
label: 5
ml auc: 0.5
sk auc: 0.5
label: 6
ml auc: 0.5
sk auc: 0.5
Saving result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(2.511886e-01).pickle"...
No cached result "runs/har/0/svm/kernel(rbf)-gamma(1)-C(1.584893e+02).pickle", building and running classifier...
run: kernel(rbf)-gamma(1)-C(1.584893e+02)
parameters: {'kernel': 'rbf', 'C': 158.48931924611108, 'gamma': 1}
ml ce: 0.81524816003
ml rmse: 2.96080580474