data source: ../topic-classification-data/vectors_mi
vector size: 400

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 90.5841924399
f1 by class: [ 0.84444444  0.79503106  0.82802548  0.86060606  0.97222222  1.          1.
  0.99082569  0.928       1.          0.98550725  1.          0.97435897
  0.92307692  0.97560976  1.          0.95        0.66666667  1.          1.
  1.          0.96        0.94545455  0.72        0.98360656  0.64102564
  0.89855072  0.88888889  1.          0.96551724  0.96666667  0.95454545
  0.9375      0.98701299  0.9787234   0.97674419  0.98275862  0.84313725
  1.          0.29411765]

performance on test set:

accuracy: 86.2864901561
f1 by class: [ 0.89041096  0.85393258  0.725       0.8875      0.99328859  0.9047619
  0.82352941  0.89285714  0.82258065  0.95        0.92957746  0.94736842
  0.95238095  1.          0.72222222  0.97674419  0.92682927  0.54545455
  0.90909091  0.66666667  0.5         0.89795918  0.90909091  0.703125
  0.96551724  0.60869565  0.84848485  0.78873239  0.95348837  0.93181818
  0.85714286  0.93023256  0.96969697  0.97435897  0.96907216  0.93333333
  0.96551724  0.70909091  0.98765432  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 94.8453608247
f1 by class: [ 0.92198582  0.93333333  0.84615385  0.93641618  1.          1.
  0.94117647  0.99099099  0.98333333  0.98765432  1.          0.97297297
  1.          1.          0.97435897  1.          1.          0.69230769
  1.          1.          1.          1.          1.          0.88288288
  1.          0.81967213  0.93939394  0.90410959  1.          0.96629213
  0.96666667  0.95238095  1.          0.98701299  0.95918367  0.98850575
  1.          0.90909091  0.98795181  0.48648649]

session 0 test set:

accuracy: 88.0515953836
f1 by class: [ 0.91156463  0.86956522  0.75308642  0.8742515   0.97368421  0.97777778
  0.75        0.93693694  0.8852459   0.95        0.94444444  0.94736842
  0.97560976  1.          0.73684211  0.97674419  0.97560976  0.32        0.9
  0.66666667  0.5         0.96        0.98181818  0.7706422   0.94915254
  0.67857143  0.81081081  0.87323944  0.89130435  0.94505495  0.92307692
  0.92307692  0.96969697  0.98734177  0.94        0.94252874  0.97478992
  0.74509804  0.97560976  0.        ]

session 1 training set:

accuracy: 94.7766323024
f1 by class: [ 0.92198582  0.93714286  0.85534591  0.93567251  0.96732026  1.          1.
  1.          0.98333333  1.          1.          1.          1.          1.
  0.97435897  0.97674419  1.          0.69230769  1.          0.93333333
  0.92307692  1.          1.          0.88288288  1.          0.81967213
  0.93939394  0.91666667  0.97560976  0.96629213  0.96666667  0.97674419
  1.          0.98701299  0.97916667  0.98850575  1.          0.91666667
  0.97619048  0.46153846]

session 1 test set:

accuracy: 87.7121520706
f1 by class: [ 0.88741722  0.86666667  0.7654321   0.88888889  0.96103896  0.93023256
  0.84210526  0.94545455  0.89256198  0.95        0.94285714  0.92307692
  0.97560976  1.          0.76923077  0.97674419  0.97560976  0.24        0.9
  0.66666667  0.5         0.96        0.98181818  0.7706422   0.94736842
  0.66666667  0.79452055  0.83333333  0.87234043  0.93478261  0.90909091
  0.92682927  0.96969697  1.          0.93069307  0.95454545  0.98305085
  0.73267327  0.97560976  0.        ]

session 2 training set:

accuracy: 94.9140893471
f1 by class: [ 0.92198582  0.93181818  0.8625      0.92941176  1.          1.          1.
  1.          0.99173554  1.          1.          0.97297297  1.          1.
  0.97435897  0.97674419  1.          0.66666667  1.          1.
  0.92307692  1.          1.          0.88288288  1.          0.79365079
  0.93939394  0.91666667  1.          0.96629213  0.96666667  0.97674419
  1.          0.98701299  0.98947368  0.98850575  1.          0.88235294
  0.98795181  0.48648649]

session 2 test set:

accuracy: 88.0515953836
f1 by class: [ 0.89333333  0.86666667  0.7654321   0.88888889  0.97368421  0.95454545
  0.84210526  0.95495495  0.89430894  0.95        0.94444444  0.92307692
  0.97560976  1.          0.73684211  0.97674419  0.97560976  0.32        0.9
  0.54545455  0.66666667  0.96        0.96428571  0.74336283  0.94736842
  0.62295082  0.83333333  0.87323944  0.89130435  0.96629213  0.92307692
  0.92682927  0.96969697  1.          0.95833333  0.95454545  0.98305085
  0.7254902   0.97560976  0.        ]

session 3 training set:

accuracy: 94.7766323024
f1 by class: [ 0.92957746  0.93406593  0.83443709  0.93567251  0.98630137  1.          1.
  0.97345133  0.93129771  1.          1.          1.          1.          1.
  0.97435897  0.97674419  1.          0.66666667  1.          1.          1.
  1.          1.          0.89090909  1.          0.84745763  0.92537313
  0.92957746  1.          0.96629213  0.96666667  0.97674419  1.
  0.98701299  0.98947368  0.98850575  1.          0.91836735  0.98795181
  0.47368421]

session 3 test set:

accuracy: 87.7800407332
f1 by class: [ 0.89333333  0.87292818  0.76433121  0.88343558  0.99328859  0.95454545
  0.82352941  0.94545455  0.83969466  0.95        0.94444444  0.92307692
  0.97560976  1.          0.76923077  0.97674419  0.97560976  0.30769231
  0.9         0.54545455  0.5         0.96        0.98181818  0.74545455
  0.94736842  0.69090909  0.78378378  0.85714286  0.89130435  0.94505495
  0.90909091  0.92682927  0.96969697  0.98734177  0.95918367  0.95454545
  0.97478992  0.74509804  0.96385542  0.        ]

session 4 training set:

accuracy: 94.7766323024
f1 by class: [ 0.92957746  0.91803279  0.84210526  0.93567251  0.98666667  1.
  0.94117647  0.99099099  0.97560976  0.98765432  1.          1.          1.
  1.          0.97435897  0.97674419  1.          0.69230769  1.
  0.93333333  0.92307692  1.          1.          0.89090909  1.
  0.83333333  0.95522388  0.89189189  1.          0.96629213  0.96666667
  0.97674419  0.96774194  0.98701299  0.97916667  0.98850575  1.
  0.92631579  0.97619048  0.51282051]

session 4 test set:

accuracy: 88.1194840462
f1 by class: [ 0.91156463  0.82539683  0.77922078  0.8902439   0.97368421  0.95652174
  0.75        0.94545455  0.90322581  0.95        0.95774648  0.94736842
  0.97560976  1.          0.76923077  0.97674419  0.97560976  0.33333333
  0.85714286  0.76923077  0.44444444  0.96        0.96428571  0.76363636
  0.96666667  0.65517241  0.81690141  0.83116883  0.92134831  0.94505495
  0.92307692  0.9         0.96969697  0.98734177  0.95918367  0.95454545
  0.97478992  0.75        0.97560976  0.        ]

session 5 training set:

accuracy: 94.9140893471
f1 by class: [ 0.92198582  0.93181818  0.84810127  0.94186047  0.98666667  1.          1.
  0.98214286  0.97520661  1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.69230769  1.          1.
  0.92307692  1.          1.          0.86725664  1.          0.84745763
  0.92537313  0.92957746  1.          0.96629213  0.96666667  0.97674419
  1.          0.98701299  0.95918367  0.98850575  1.          0.91836735
  1.          0.47368421]

session 5 test set:

accuracy: 88.0515953836
f1 by class: [ 0.90540541  0.87292818  0.75308642  0.89570552  0.96103896  0.93023256
  0.84210526  0.94545455  0.89430894  0.95        0.94444444  0.92307692
  0.97560976  1.          0.76923077  0.97674419  0.95        0.25        0.9
  0.54545455  0.66666667  0.96        0.98181818  0.76106195  0.94736842
  0.71698113  0.78378378  0.84507042  0.89130435  0.95555556  0.92307692
  0.92682927  0.96969697  1.          0.93069307  0.93181818  0.97478992
  0.75728155  0.97560976  0.05555556]

session 6 training set:

accuracy: 94.5704467354
f1 by class: [ 0.92198582  0.92485549  0.83333333  0.93641618  1.          1.          1.
  0.98214286  0.98360656  1.          1.          0.7826087   1.          1.
  0.94736842  0.97674419  1.          0.69230769  1.          1.          1.
  1.          1.          0.89090909  1.          0.80645161  0.94117647
  0.91666667  1.          0.96629213  0.96666667  0.95454545  1.
  0.98701299  0.98947368  0.98850575  1.          0.92631579  1.
  0.46153846]

session 6 test set:

accuracy: 87.8479293958
f1 by class: [ 0.89932886  0.86187845  0.75776398  0.8902439   0.96732026  0.93023256
  0.77777778  0.93577982  0.90163934  0.95        0.95774648  0.70588235
  0.97560976  1.          0.73684211  0.95238095  0.97560976  0.33333333
  0.9         0.54545455  0.5         0.96        1.          0.78846154
  0.96551724  0.6440678   0.78378378  0.86956522  0.9010989   0.94505495
  0.9375      0.92682927  1.          0.98734177  0.96907216  0.96629213
  0.97478992  0.75        0.98765432  0.        ]

session 7 training set:

accuracy: 94.5704467354
f1 by class: [ 0.92957746  0.91954023  0.83333333  0.93641618  0.99328859  0.97674419
  0.94117647  1.          0.99173554  0.98765432  1.          0.97297297
  1.          1.          0.97435897  0.97674419  1.          0.66666667
  1.          1.          0.92307692  1.          1.          0.875       1.
  0.81967213  0.94117647  0.87671233  1.          0.96629213  0.96666667
  0.97674419  1.          0.98701299  0.98947368  0.92631579  1.          0.9375
  1.          0.44444444]

session 7 test set:

accuracy: 87.5763747454
f1 by class: [ 0.89932886  0.86338798  0.75776398  0.88484848  0.96732026  0.87804878
  0.66666667  0.94545455  0.90909091  0.95        0.94285714  0.92307692
  0.97560976  1.          0.76923077  0.95238095  0.95        0.38461538
  0.85714286  0.66666667  0.5         0.96        1.          0.73214286
  0.98305085  0.62962963  0.8         0.84931507  0.88172043  0.91489362
  0.92307692  0.95        0.96969697  0.98734177  0.94949495  0.91489362
  0.97478992  0.74226804  0.97560976  0.        ]

session 8 training set:

accuracy: 94.4329896907
f1 by class: [ 0.92198582  0.92134831  0.84210526  0.93567251  0.99328859  1.          1.
  0.93220339  0.96721311  0.98734177  1.          1.          0.97435897
  1.          0.97435897  0.97674419  1.          0.66666667  1.
  0.93333333  1.          1.          1.          0.89090909  1.
  0.81967213  0.93939394  0.90410959  1.          0.96629213  0.96666667
  0.97674419  1.          0.98701299  0.95918367  0.98850575  0.99145299
  0.91666667  0.98795181  0.51282051]

session 8 test set:

accuracy: 87.644263408
f1 by class: [ 0.88741722  0.86021505  0.76433121  0.88484848  0.96732026  0.93023256
  0.8         0.9122807   0.90163934  0.93670886  0.94444444  0.94736842
  0.97560976  1.          0.76923077  0.95238095  0.97560976  0.38461538
  0.9         0.76923077  0.5         0.96        0.96296296  0.75675676
  0.94736842  0.65517241  0.80555556  0.84507042  0.91111111  0.93478261
  0.92307692  0.95        0.96969697  0.975       0.94        0.95454545
  0.96551724  0.74        0.96385542  0.        ]

session 9 training set:

accuracy: 94.9140893471
f1 by class: [ 0.92198582  0.9273743   0.85714286  0.93567251  0.98666667  1.          1.
  0.99099099  0.98333333  1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.62068966  1.          1.          1.
  1.          1.          0.89908257  1.          0.81967213  0.95522388
  0.90140845  1.          0.96629213  0.95081967  0.97674419  1.
  0.98701299  0.97916667  0.98850575  1.          0.91489362  0.97619048
  0.47368421]

session 9 test set:

accuracy: 87.7800407332
f1 by class: [ 0.88741722  0.82795699  0.76829268  0.8875      0.97368421  0.91304348
  0.82352941  0.93693694  0.90909091  0.95        0.94444444  0.94736842
  0.97560976  1.          0.76923077  0.95238095  0.97560976  0.37037037
  0.9         0.66666667  0.5         0.96        0.98113208  0.76363636
  0.94736842  0.65517241  0.80555556  0.86956522  0.88172043  0.93478261
  0.92307692  0.92682927  0.96969697  1.          0.94        0.96629213
  0.98305085  0.72727273  0.97560976  0.        ]

averages over sessions
train accuracy: 94.7491408935
train f1 score: [ 0.92426331  0.92793296  0.84545582  0.93588834  0.99001988  0.99767442
  0.98235294  0.98429134  0.97664048  0.99503047  1.          0.97015276
  0.9974359   1.          0.97165992  0.98372093  1.          0.67488948
  1.          0.98        0.96153846  1.          1.          0.88536242
  1.          0.82267116  0.94011227  0.90873868  0.99756098  0.96629213
  0.96508197  0.97208799  0.99677419  0.98701299  0.97729458  0.98228675
  0.9991453   0.91665371  0.98803787  0.4787188 ]
test accuracy: 87.8615071283
test f1 score: [ 0.89761107  0.85875902  0.76287409  0.88688552  0.97120641  0.93554129
  0.79178191  0.94041621  0.89308067  0.94867089  0.94678739  0.91107407
  0.97560976  1.          0.75951417  0.96699889  0.9704878   0.32439601
  0.89142857  0.63869464  0.52777778  0.96        0.97999392  0.75957976
  0.95485978  0.66152938  0.80180286  0.85467102  0.8934557   0.94213089
  0.92172203  0.92840525  0.97272727  0.99117089  0.94766539  0.94945521
  0.97634093  0.74151819  0.97446335  0.00555556]
