Permalink
Browse files

removed txt

  • Loading branch information...
1 parent d2a639d commit 6d03798e595d5022a2994c300ab400e26c02c701 @gzvulon committed Jun 24, 2011
@@ -1,230 +0,0 @@
-Evaluating iPod Nano: Which aspect?
-num_features: 5 => Accuracy: 30.02% idf: 4.48187196964
-num_features: 10 => Accuracy: 30.70% idf: 3.78872478908
-num_features: 15 => Accuracy: 32.96% idf: 3.38325968098
-num_features: 20 => Accuracy: 34.31% idf: 3.09557760852
-num_features: 25 => Accuracy: 36.34% idf: 2.87243405721
-num_features: 30 => Accuracy: 37.47% idf: 2.69011250042
-num_features: 35 => Accuracy: 36.12% idf: 2.53596182059
-num_features: 40 => Accuracy: 35.21% idf: 2.40243042796
-num_features: 45 => Accuracy: 34.76% idf: 2.28464739231
-num_features: 50 => Accuracy: 34.99% idf: 2.17928687665
-num_features: 55 => Accuracy: 35.21% idf: 2.08397669685
-num_features: 60 => Accuracy: 35.21% idf: 1.99696531986
-num_features: 65 => Accuracy: 35.21% idf: 1.91692261218
-num_features: 70 => Accuracy: 34.99% idf: 1.84281464003
-num_features: 75 => Accuracy: 35.44% idf: 1.77382176854
-num_features: 80 => Accuracy: 35.44% idf: 1.7092832474
-num_features: 85 => Accuracy: 34.54% idf: 1.64865862559
-num_features: 90 => Accuracy: 34.99% idf: 1.59150021175
-num_features: 95 => Accuracy: 34.76% idf: 1.53743299048
-num_features: 100 => Accuracy: 35.67% idf: 1.48613969609
-
-============= Learning Curve ===================
- -- iPod Nano: Which aspect? --
-num_features, idf, accuracy%,
-5 ,4.48 ,30.02
-10 ,3.79 ,30.70
-15 ,3.38 ,32.96
-20 ,3.10 ,34.31
-25 ,2.87 ,36.34
-30 ,2.69 ,37.47
-35 ,2.54 ,36.12
-40 ,2.40 ,35.21
-45 ,2.28 ,34.76
-50 ,2.18 ,34.99
-55 ,2.08 ,35.21
-60 ,2.00 ,35.21
-65 ,1.92 ,35.21
-70 ,1.84 ,34.99
-75 ,1.77 ,35.44
-80 ,1.71 ,35.44
-85 ,1.65 ,34.54
-90 ,1.59 ,34.99
-95 ,1.54 ,34.76
-100 ,1.49 ,35.67
-
-Evaluating Hotels: San Francisco or Chicago?
-num_features: 5 => Accuracy: 63.03% idf: 4.43319492125
-num_features: 10 => Accuracy: 59.95% idf: 3.74004774069
-num_features: 15 => Accuracy: 61.85% idf: 3.33458263258
-num_features: 20 => Accuracy: 63.27% idf: 3.04690056013
-num_features: 25 => Accuracy: 65.40% idf: 2.82375700881
-num_features: 30 => Accuracy: 65.64% idf: 2.64143545202
-num_features: 35 => Accuracy: 64.22% idf: 2.48728477219
-num_features: 40 => Accuracy: 63.51% idf: 2.35375337957
-num_features: 45 => Accuracy: 64.22% idf: 2.23597034391
-num_features: 50 => Accuracy: 64.45% idf: 2.13060982825
-num_features: 55 => Accuracy: 64.45% idf: 2.03529964845
-num_features: 60 => Accuracy: 64.93% idf: 1.94828827146
-num_features: 65 => Accuracy: 64.45% idf: 1.86824556379
-num_features: 70 => Accuracy: 64.93% idf: 1.79413759163
-num_features: 75 => Accuracy: 64.69% idf: 1.72514472015
-num_features: 80 => Accuracy: 65.40% idf: 1.66060619901
-num_features: 85 => Accuracy: 64.93% idf: 1.59998157719
-num_features: 90 => Accuracy: 65.17% idf: 1.54282316335
-num_features: 95 => Accuracy: 65.17% idf: 1.48875594208
-num_features: 100 => Accuracy: 65.17% idf: 1.43746264769
-
-============= Learning Curve ===================
- -- Hotels: San Francisco or Chicago? --
-num_features, idf, accuracy%,
-5 ,4.43 ,63.03
-10 ,3.74 ,59.95
-15 ,3.33 ,61.85
-20 ,3.05 ,63.27
-25 ,2.82 ,65.40
-30 ,2.64 ,65.64
-35 ,2.49 ,64.22
-40 ,2.35 ,63.51
-45 ,2.24 ,64.22
-50 ,2.13 ,64.45
-55 ,2.04 ,64.45
-60 ,1.95 ,64.93
-65 ,1.87 ,64.45
-70 ,1.79 ,64.93
-75 ,1.73 ,64.69
-80 ,1.66 ,65.40
-85 ,1.60 ,64.93
-90 ,1.54 ,65.17
-95 ,1.49 ,65.17
-100 ,1.44 ,65.17
-
-Evaluating Best Western Hotels: Bath or room?
-num_features: 5 => Accuracy: 93.22% idf: 4.2570301445
-num_features: 10 => Accuracy: 91.24% idf: 3.56388296394
-num_features: 15 => Accuracy: 90.96% idf: 3.15841785583
-num_features: 20 => Accuracy: 89.55% idf: 2.87073578338
-num_features: 25 => Accuracy: 89.55% idf: 2.64759223207
-num_features: 30 => Accuracy: 89.27% idf: 2.46527067527
-num_features: 35 => Accuracy: 87.29% idf: 2.31111999544
-num_features: 40 => Accuracy: 88.14% idf: 2.17758860282
-num_features: 45 => Accuracy: 87.57% idf: 2.05980556716
-num_features: 50 => Accuracy: 87.01% idf: 1.95444505151
-num_features: 55 => Accuracy: 87.29% idf: 1.8591348717
-num_features: 60 => Accuracy: 86.44% idf: 1.77212349471
-num_features: 65 => Accuracy: 87.29% idf: 1.69208078704
-num_features: 70 => Accuracy: 87.57% idf: 1.61797281488
-num_features: 75 => Accuracy: 87.01% idf: 1.5489799434
-num_features: 80 => Accuracy: 87.29% idf: 1.48444142226
-num_features: 85 => Accuracy: 87.85% idf: 1.42381680044
-num_features: 90 => Accuracy: 87.85% idf: 1.3666583866
-num_features: 95 => Accuracy: 87.85% idf: 1.31259116533
-num_features: 100 => Accuracy: 87.57% idf: 1.26129787095
-
-============= Learning Curve ===================
- -- Best Western Hotels: Bath or room? --
-num_features, idf, accuracy%,
-5 ,4.26 ,93.22
-10 ,3.56 ,91.24
-15 ,3.16 ,90.96
-20 ,2.87 ,89.55
-25 ,2.65 ,89.55
-30 ,2.47 ,89.27
-35 ,2.31 ,87.29
-40 ,2.18 ,88.14
-45 ,2.06 ,87.57
-50 ,1.95 ,87.01
-55 ,1.86 ,87.29
-60 ,1.77 ,86.44
-65 ,1.69 ,87.29
-70 ,1.62 ,87.57
-75 ,1.55 ,87.01
-80 ,1.48 ,87.29
-85 ,1.42 ,87.85
-90 ,1.37 ,87.85
-95 ,1.31 ,87.85
-100 ,1.26 ,87.57
-
-Evaluating Battery life: Which device?
-num_features: 5 => Accuracy: 30.49% idf: 4.58700621536
-num_features: 10 => Accuracy: 35.57% idf: 3.8938590348
-num_features: 15 => Accuracy: 37.80% idf: 3.48839392669
-num_features: 20 => Accuracy: 41.06% idf: 3.20071185424
-num_features: 25 => Accuracy: 40.85% idf: 2.97756830293
-num_features: 30 => Accuracy: 41.87% idf: 2.79524674613
-num_features: 35 => Accuracy: 45.12% idf: 2.64109606631
-num_features: 40 => Accuracy: 45.73% idf: 2.50756467368
-num_features: 45 => Accuracy: 46.14% idf: 2.38978163802
-num_features: 50 => Accuracy: 47.56% idf: 2.28442112237
-num_features: 55 => Accuracy: 48.78% idf: 2.18911094256
-num_features: 60 => Accuracy: 49.19% idf: 2.10209956557
-num_features: 65 => Accuracy: 48.98% idf: 2.0220568579
-num_features: 70 => Accuracy: 46.75% idf: 1.94794888575
-num_features: 75 => Accuracy: 46.54% idf: 1.87895601426
-num_features: 80 => Accuracy: 46.95% idf: 1.81441749312
-num_features: 85 => Accuracy: 48.58% idf: 1.7537928713
-num_features: 90 => Accuracy: 47.97% idf: 1.69663445746
-num_features: 95 => Accuracy: 46.75% idf: 1.64256723619
-num_features: 100 => Accuracy: 46.34% idf: 1.59127394181
-
-============= Learning Curve ===================
- -- Battery life: Which device? --
-num_features, idf, accuracy%,
-5 ,4.59 ,30.49
-10 ,3.89 ,35.57
-15 ,3.49 ,37.80
-20 ,3.20 ,41.06
-25 ,2.98 ,40.85
-30 ,2.80 ,41.87
-35 ,2.64 ,45.12
-40 ,2.51 ,45.73
-45 ,2.39 ,46.14
-50 ,2.28 ,47.56
-55 ,2.19 ,48.78
-60 ,2.10 ,49.19
-65 ,2.02 ,48.98
-70 ,1.95 ,46.75
-75 ,1.88 ,46.54
-80 ,1.81 ,46.95
-85 ,1.75 ,48.58
-90 ,1.70 ,47.97
-95 ,1.64 ,46.75
-100 ,1.59 ,46.34
-
-Evaluating Windows 7: Features or speed?
-num_features: 5 => Accuracy: 96.77% idf: 3.61091791264
-num_features: 10 => Accuracy: 92.47% idf: 2.91777073208
-num_features: 15 => Accuracy: 86.02% idf: 2.51230562398
-num_features: 20 => Accuracy: 84.95% idf: 2.22462355152
-num_features: 25 => Accuracy: 84.95% idf: 2.00148000021
-num_features: 30 => Accuracy: 81.18% idf: 1.81915844342
-num_features: 35 => Accuracy: 79.57% idf: 1.66500776359
-num_features: 40 => Accuracy: 74.73% idf: 1.53147637096
-num_features: 45 => Accuracy: 73.66% idf: 1.41369333531
-num_features: 50 => Accuracy: 73.12% idf: 1.30833281965
-num_features: 55 => Accuracy: 73.66% idf: 1.21302263985
-num_features: 60 => Accuracy: 73.12% idf: 1.12601126286
-num_features: 65 => Accuracy: 72.58% idf: 1.04596855518
-num_features: 70 => Accuracy: 73.66% idf: 0.971860583029
-num_features: 75 => Accuracy: 74.73% idf: 0.902867711542
-num_features: 80 => Accuracy: 72.04% idf: 0.838329190404
-num_features: 85 => Accuracy: 72.04% idf: 0.777704568588
-num_features: 90 => Accuracy: 72.58% idf: 0.720546154748
-num_features: 95 => Accuracy: 72.04% idf: 0.666478933478
-num_features: 100 => Accuracy: 71.51% idf: 0.61518563909
-
-============= Learning Curve ===================
- -- Windows 7: Features or speed? --
-num_features, idf, accuracy%,
-5 ,3.61 ,96.77
-10 ,2.92 ,92.47
-15 ,2.51 ,86.02
-20 ,2.22 ,84.95
-25 ,2.00 ,84.95
-30 ,1.82 ,81.18
-35 ,1.67 ,79.57
-40 ,1.53 ,74.73
-45 ,1.41 ,73.66
-50 ,1.31 ,73.12
-55 ,1.21 ,73.66
-60 ,1.13 ,73.12
-65 ,1.05 ,72.58
-70 ,0.97 ,73.66
-75 ,0.90 ,74.73
-80 ,0.84 ,72.04
-85 ,0.78 ,72.04
-90 ,0.72 ,72.58
-95 ,0.67 ,72.04
-100 ,0.62 ,71.51
-
Oops, something went wrong.

0 comments on commit 6d03798

Please sign in to comment.