data source: ../topic-classification-data/vectors_mi
vector size: 2000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 88.1099656357
f1 by class: [ 0.83453237  0.80487805  0.78313253  0.87272727  0.97931034  0.92682927
  0.61538462  0.94736842  0.83211679  0.98765432  0.98550725  0.97142857
  1.          1.          0.94736842  0.92682927  0.97435897  0.42105263
  0.94736842  0.          0.          0.93877551  0.98181818  0.65277778
  1.          0.65714286  0.86153846  0.84848485  0.98765432  0.96551724
  0.96551724  0.97674419  0.89655172  0.98701299  0.98947368  0.98850575
  0.97478992  0.80357143  1.          0.19354839]

performance on test set:

accuracy: 81.6700610998
f1 by class: [ 0.85526316  0.83977901  0.68926554  0.86060606  0.98666667  0.87804878
  0.          0.88888889  0.69491525  0.87058824  0.91666667  0.94444444
  0.97560976  0.95652174  0.78787879  0.84210526  0.92307692  0.          0.625
  0.          0.          0.89795918  0.90909091  0.55214724  0.96551724
  0.41666667  0.75862069  0.74193548  0.94252874  0.88421053  0.84210526
  0.87804878  0.64        0.97435897  0.92929293  0.91304348  0.96666667
  0.688       0.98765432  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92198582  0.95027624  0.88888889  0.96045198  1.          1.
  0.94117647  1.          1.          0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.8         1.          1.
  1.          1.          1.          0.89908257  1.          0.86206897
  0.95522388  0.95652174  1.          0.98850575  0.95081967  0.97674419
  1.          0.98701299  0.97916667  0.98850575  1.          0.9375
  0.98795181  0.56410256]

session 0 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89333333  0.84491979  0.76433121  0.88372093  0.97368421  0.95454545
  0.875       0.92857143  0.90909091  0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.97560976  0.44444444
  0.84210526  0.66666667  0.6         0.96        0.98181818  0.77477477
  0.94736842  0.57142857  0.79452055  0.83333333  0.91111111  0.96703297
  0.96875     0.95        0.96969697  1.          0.94949495  0.96551724
  0.97435897  0.74        0.97560976  0.06060606]

session 1 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.96089385  0.89570552  0.95402299  0.98666667  1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.97435897  0.97674419  1.          0.8         1.          0.93333333
  1.          1.          1.          0.89090909  1.          0.84745763
  0.95522388  0.95652174  1.          0.97727273  0.96666667  0.97674419
  1.          0.98701299  0.97916667  1.          1.          0.94736842
  0.98795181  0.55      ]

session 1 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89932886  0.84946237  0.76433121  0.88888889  0.96103896  0.93023256
  0.875       0.94444444  0.91803279  0.95        0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.5         0.9
  0.76923077  0.72727273  0.96        0.98181818  0.77477477  0.94736842
  0.54545455  0.81690141  0.82857143  0.88172043  0.96703297  0.93939394
  0.92682927  0.96969697  1.          0.94949495  0.96551724  0.97478992
  0.73267327  0.96385542  0.16216216]

session 2 training set:

accuracy: 95.8075601375
f1 by class: [ 0.92198582  0.95555556  0.8875      0.93567251  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.76923077  1.          1.
  0.92307692  1.          1.          0.89090909  1.          0.86666667
  0.93939394  0.94285714  1.          0.97727273  0.95081967  0.97674419
  1.          0.98701299  0.98947368  0.98850575  1.          0.89108911
  0.98795181  0.56410256]

session 2 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89333333  0.84324324  0.76433121  0.88888889  0.97368421  0.95454545
  0.875       0.93577982  0.91056911  0.95        0.94444444  0.89473684
  0.97560976  1.          0.9047619   0.95238095  0.97560976  0.5         0.9
  0.4         0.72727273  0.96        0.98181818  0.77477477  0.94736842
  0.61290323  0.81690141  0.85714286  0.9010989   0.96703297  0.95384615
  0.9047619   0.96969697  1.          0.96907216  0.95454545  0.98305085
  0.74        0.96385542  0.10810811]

session 3 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92198582  0.96089385  0.87898089  0.96        1.          1.
  0.94117647  0.98214286  0.976       0.98765432  1.          1.          1.
  1.          1.          0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.86666667
  0.95522388  0.95652174  1.          0.97727273  0.96666667  0.95454545
  1.          0.98701299  0.98947368  0.97777778  1.          0.94736842
  0.98795181  0.56410256]

session 3 test set:

accuracy: 88.1873727088
f1 by class: [ 0.89932886  0.84153005  0.78947368  0.89411765  0.98013245  0.95454545
  0.8         0.93693694  0.8976378   0.93670886  0.94444444  0.91891892
  0.97560976  1.          0.87804878  0.95238095  0.95        0.46153846
  0.9         0.4         0.72727273  0.94117647  0.98181818  0.75438596
  0.94736842  0.54237288  0.80555556  0.82857143  0.91111111  0.96703297
  0.95384615  0.9047619   0.96969697  1.          0.94845361  0.94505495
  0.97478992  0.73267327  0.97560976  0.11764706]

session 4 training set:

accuracy: 96.0824742268
f1 by class: [ 0.92198582  0.95027624  0.90566038  0.94797688  1.          0.95652174
  0.94117647  0.99099099  0.99186992  0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.76923077  1.          1.
  1.          1.          1.          0.89908257  1.          0.84745763
  0.95522388  0.94285714  1.          0.98850575  0.96666667  0.97674419
  0.96774194  0.98701299  0.97916667  0.98850575  1.          0.94736842
  0.98795181  0.61904762]

session 4 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89932886  0.84042553  0.77419355  0.88343558  0.97368421  0.91304348
  0.8         0.93577982  0.90322581  0.95        0.95774648  0.87179487
  0.97560976  1.          0.85714286  0.95238095  0.97560976  0.5625
  0.95238095  0.66666667  0.72727273  0.96        0.98181818  0.78181818
  0.96551724  0.57142857  0.79452055  0.83783784  0.92134831  0.95555556
  0.96875     0.92682927  0.9375      0.98734177  0.95918367  0.96551724
  0.97478992  0.75        0.97560976  0.11111111]

session 5 training set:

accuracy: 95.9450171821
f1 by class: [ 0.92198582  0.96089385  0.87654321  0.96        1.          1.          1.
  0.99099099  0.99173554  1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.72        1.          1.
  0.92307692  1.          1.          0.88288288  1.          0.86206897
  0.95522388  0.95652174  1.          0.97727273  0.96666667  0.95454545
  1.          0.98701299  0.96907216  0.98850575  1.          0.9375
  0.98795181  0.56410256]

session 5 test set:

accuracy: 88.2552613714
f1 by class: [ 0.91156463  0.85405405  0.77922078  0.87951807  0.96732026  0.93023256
  0.875       0.93577982  0.90909091  0.93670886  0.94444444  0.89473684
  0.97560976  1.          0.8372093   0.95238095  0.95        0.48275862
  0.95238095  0.54545455  0.72727273  0.96        0.98181818  0.76521739
  0.94736842  0.58181818  0.77333333  0.82857143  0.89130435  0.96703297
  0.96875     0.9047619   0.96969697  1.          0.94        0.94382022
  0.97478992  0.74747475  0.97560976  0.17142857]

session 6 training set:

accuracy: 95.8762886598
f1 by class: [ 0.92198582  0.94915254  0.88198758  0.96590909  1.          1.          1.
  0.99099099  1.          1.          1.          0.76595745  1.          1.
  0.97435897  0.97674419  1.          0.75        1.          1.          1.
  1.          1.          0.89908257  1.          0.86206897  0.95522388
  0.95652174  1.          0.98850575  0.96666667  0.97674419  1.
  0.98701299  0.98947368  0.98850575  1.          0.9375      1.
  0.56410256]

session 6 test set:

accuracy: 88.6625933469
f1 by class: [ 0.90540541  0.84782609  0.77419355  0.88757396  0.96732026  0.93023256
  0.8         0.93577982  0.91803279  0.93670886  0.95652174  0.68
  0.97560976  1.          0.87804878  0.95238095  0.97560976  0.51851852
  0.9         0.66666667  0.72727273  0.96        0.98181818  0.80373832
  0.96551724  0.61538462  0.82191781  0.86567164  0.91111111  0.95555556
  0.98412698  0.9047619   0.96969697  1.          0.96907216  0.96551724
  0.97478992  0.75247525  0.98765432  0.17142857]

session 7 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92198582  0.95555556  0.89570552  0.96        1.          1.
  0.94117647  1.          1.          0.98765432  1.          0.97297297
  1.          1.          0.97435897  0.97674419  1.          0.74074074
  1.          1.          0.92307692  1.          1.          0.89090909
  1.          0.86206897  0.95522388  0.95652174  1.          0.98850575
  0.96666667  0.97674419  1.          0.98701299  0.97916667  0.97777778
  1.          0.94736842  0.98795181  0.48648649]

session 7 test set:

accuracy: 87.7800407332
f1 by class: [ 0.90540541  0.84042553  0.75949367  0.88622754  0.96732026  0.9047619
  0.71428571  0.92727273  0.9         0.95        0.95652174  0.87179487
  0.97560976  1.          0.85714286  0.95238095  0.95        0.5         0.9
  0.54545455  0.72727273  0.96        1.          0.76106195  0.96551724
  0.54545455  0.76923077  0.84057971  0.9010989   0.95652174  0.96875
  0.92682927  0.96969697  0.98734177  0.94949495  0.91489362  0.97478992
  0.72164948  0.97560976  0.06451613]

session 8 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92957746  0.95027624  0.88050314  0.96590909  1.          1.          1.
  0.94017094  1.          0.98734177  1.          1.          0.97435897
  1.          1.          0.97674419  1.          0.75        1.          1.
  1.          1.          1.          0.91588785  1.          0.86206897
  0.95522388  0.95652174  1.          0.97727273  0.96666667  0.97674419
  1.          0.98701299  0.96907216  0.98850575  0.99145299  0.94736842
  0.98795181  0.6       ]

session 8 test set:

accuracy: 88.3910386965
f1 by class: [ 0.89333333  0.84042553  0.77922078  0.8969697   0.96732026  0.93023256
  0.875       0.92982456  0.90909091  0.93670886  0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.53333333
  0.9         0.76923077  0.72727273  0.94117647  0.96296296  0.78899083
  0.94736842  0.57142857  0.79452055  0.86956522  0.92134831  0.96703297
  0.96875     0.9047619   0.96969697  0.98734177  0.94        0.96551724
  0.96551724  0.74        0.97560976  0.10810811]

session 9 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92198582  0.95027624  0.90243902  0.94186047  0.99328859  1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.66666667  1.          1.          1.
  1.          1.          0.90740741  1.          0.86206897  0.95522388
  0.94285714  1.          0.98850575  0.95081967  0.97674419  1.
  0.98701299  0.98947368  0.98876404  1.          0.93617021  0.98795181
  0.52631579]

session 9 test set:

accuracy: 88.1194840462
f1 by class: [ 0.89932886  0.83597884  0.7625      0.88888889  0.97368421  0.93333333
  0.875       0.93693694  0.90909091  0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.95        0.5
  0.95238095  0.54545455  0.72727273  0.96        1.          0.76785714
  0.96551724  0.53571429  0.78378378  0.85294118  0.9010989   0.95652174
  0.95384615  0.92682927  0.96969697  1.          0.96907216  0.95555556
  0.97478992  0.70833333  0.96385542  0.        ]

averages over sessions
train accuracy: 96.0137457045
train f1 score: [ 0.92274498  0.95440502  0.88939142  0.9551803   0.99799553  0.99565217
  0.97647059  0.98952868  0.99596055  0.99379591  1.          0.97389304
  0.9974359   1.          0.98717949  0.98604651  1.          0.75658689
  1.          0.99333333  0.97692308  1.          1.          0.89670622
  1.          0.86006624  0.95364089  0.95242236  1.          0.98288924
  0.96191257  0.97230444  0.99677419  0.98701299  0.98127057  0.98753541
  0.9991453   0.93766014  0.98915663  0.56023627]
test accuracy: 88.2959945689
test f1 score: [ 0.89996909  0.8438291   0.77112896  0.88782301  0.97051893  0.93357053
  0.83642857  0.93471063  0.90838619  0.94468354  0.94819011  0.8807658
  0.97560976  1.          0.86010588  0.95238095  0.96536585  0.50030934
  0.90992481  0.59748252  0.71454545  0.95623529  0.98356902  0.77473941
  0.95462795  0.5693388   0.79711857  0.84427861  0.90523514  0.96263524
  0.96288094  0.91811266  0.96647727  0.99620253  0.95433386  0.9541456
  0.97464565  0.73652793  0.97328791  0.10751159]
