data source: ../topic-classification-data/vectors_tf_idf
vector size: 800

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 92.0274914089
f1 by class: [ 0.83823529  0.80745342  0.86896552  0.87654321  0.97931034  1.          1.
  0.97247706  0.94214876  1.          1.          1.          1.          0.96
  0.92682927  0.95652174  0.97560976  0.78571429  1.          1.          1.
  1.          0.98181818  0.79661017  0.96666667  0.69333333  0.92957746
  0.88        1.          0.96629213  0.94915254  0.86956522  0.96774194
  0.98701299  0.94949495  0.97674419  0.97391304  0.88888889  0.98795181
  0.73076923]

performance on test set:

accuracy: 81.6021724372
f1 by class: [ 0.87671233  0.82608696  0.73202614  0.87116564  0.97260274  0.88372093
  0.8         0.92035398  0.84210526  0.91358025  0.89855072  0.84210526
  0.9047619   0.92307692  0.61538462  0.59574468  0.87179487  0.32
  0.70588235  0.61538462  0.54545455  0.92        0.6875      0.67175573
  0.9122807   0.55072464  0.54545455  0.7027027   0.97619048  0.92307692
  0.79310345  0.71428571  0.9375      0.93150685  0.92783505  0.87912088
  0.96666667  0.56862745  0.97560976  0.20512821]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 99.5189003436
f1 by class: [ 0.99337748  0.99459459  0.98064516  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.88        1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.98360656  1.          1.          1.          1.
  1.          1.          1.          1.          0.96296296]

session 0 test set:

accuracy: 85.4039375424
f1 by class: [ 0.86666667  0.79792746  0.72049689  0.87356322  0.97333333  0.93023256
  0.8         0.92982456  0.896       0.92682927  0.95890411  0.97297297
  0.95        1.          0.81081081  0.92682927  0.97560976  0.37037037
  0.70588235  0.875       0.44444444  0.94117647  0.8         0.76785714
  0.9122807   0.44897959  0.71428571  0.82857143  0.93023256  0.93333333
  0.8852459   0.76923077  0.96969697  0.98734177  0.90322581  0.91764706
  0.94308943  0.70103093  0.95238095  0.21052632]

session 1 training set:

accuracy: 99.4501718213
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.84615385  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.94545455]

session 1 test set:

accuracy: 86.0828241684
f1 by class: [ 0.8496732   0.83695652  0.74213836  0.88        0.95424837  0.93023256
  0.875       0.94642857  0.91935484  0.925       0.95890411  0.97297297
  0.97560976  1.          0.75        0.92682927  0.97560976  0.4
  0.73684211  0.875       0.44444444  0.96        0.81967213  0.78181818
  0.9122807   0.55555556  0.72972973  0.80555556  0.93023256  0.93333333
  0.86666667  0.8         0.96969697  0.98734177  0.90721649  0.91764706
  0.95798319  0.67368421  0.96385542  0.16666667]

session 2 training set:

accuracy: 99.381443299
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.88        1.          1.          1.
  1.          1.          0.98989899  1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.98924731  1.          0.94545455]

session 2 test set:

accuracy: 85.5397148676
f1 by class: [ 0.85333333  0.83243243  0.7388535   0.89411765  0.96688742  0.93023256
  0.71428571  0.95495495  0.8976378   0.91358025  0.95890411  0.97297297
  0.95        1.          0.76923077  0.92682927  0.95        0.34482759
  0.70588235  0.875       0.44444444  0.89795918  0.79365079  0.77477477
  0.9122807   0.55555556  0.72222222  0.80555556  0.95238095  0.92307692
  0.87096774  0.7804878   0.96969697  0.975       0.89583333  0.91764706
  0.95        0.69306931  0.96385542  0.15789474]

session 3 training set:

accuracy: 99.4501718213
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.88        1.          1.          1.
  1.          1.          0.98989899  1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.98876404  1.          1.          1.          0.96296296]

session 3 test set:

accuracy: 86.150712831
f1 by class: [ 0.85526316  0.82795699  0.74534161  0.89017341  0.97333333  0.93023256
  0.875       0.94642857  0.896       0.9382716   0.95890411  0.97297297
  0.95        1.          0.81081081  0.92682927  0.97560976  0.38461538
  0.70588235  0.875       0.5         0.92        0.83333333  0.77477477
  0.9122807   0.56603774  0.72222222  0.82191781  0.91954023  0.93333333
  0.87096774  0.8         0.96969697  0.98734177  0.89583333  0.93333333
  0.94214876  0.68085106  0.96385542  0.16666667]

session 4 training set:

accuracy: 99.4501718213
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.84615385  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.94545455]

session 4 test set:

accuracy: 85.6754921928
f1 by class: [ 0.86666667  0.82978723  0.73076923  0.88372093  0.97333333  0.91304348
  0.71428571  0.9380531   0.8976378   0.91358025  0.97222222  0.97297297
  0.95        1.          0.76923077  0.92682927  0.95        0.32258065
  0.70588235  0.875       0.44444444  0.92        0.81967213  0.7962963
  0.93103448  0.56603774  0.73239437  0.8         0.91954023  0.91304348
  0.8852459   0.73684211  0.96969697  0.975       0.90526316  0.91764706
  0.95867769  0.69473684  0.96385542  0.16216216]

session 5 training set:

accuracy: 99.381443299
f1 by class: [ 0.98684211  0.99459459  0.97402597  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.84615385  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.96296296]

session 5 test set:

accuracy: 85.811269518
f1 by class: [ 0.8590604   0.84153005  0.73417722  0.87719298  0.96052632  0.93023256
  0.875       0.92982456  0.9047619   0.925       0.97222222  0.97297297
  0.97560976  1.          0.75        0.97674419  0.95        0.34482759
  0.77777778  0.875       0.44444444  0.91666667  0.81355932  0.76785714
  0.93103448  0.58181818  0.73972603  0.81690141  0.94252874  0.91304348
  0.85245902  0.8         0.96969697  0.98734177  0.875       0.91764706
  0.95        0.6875      0.96385542  0.16216216]

session 6 training set:

accuracy: 99.381443299
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          0.97297297  1.          1.
  1.          0.97674419  1.          0.88        1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          0.98701299
  1.          1.          1.          1.          1.          0.96296296]

session 6 test set:

accuracy: 85.7433808554
f1 by class: [ 0.86666667  0.83243243  0.74213836  0.89142857  0.96688742  0.90909091
  0.8         0.92982456  0.89430894  0.9047619   0.95890411  0.8
  0.97560976  1.          0.81081081  0.92682927  0.95        0.38461538
  0.77777778  0.875       0.44444444  0.91666667  0.8         0.78899083
  0.9122807   0.57142857  0.72222222  0.82352941  0.91954023  0.94382022
  0.87096774  0.76923077  0.96969697  0.98734177  0.88888889  0.92857143
  0.96610169  0.69387755  0.95238095  0.11764706]

session 7 training set:

accuracy: 99.381443299
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.88        1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.98360656  1.          1.          1.          1.
  0.98876404  1.          1.          1.          0.96296296]

session 7 test set:

accuracy: 85.3360488798
f1 by class: [ 0.86092715  0.81914894  0.72955975  0.89142857  0.96052632  0.90909091
  0.71428571  0.92982456  0.88888889  0.91358025  0.98591549  0.97297297
  0.95        1.          0.76923077  0.95238095  0.95        0.38461538
  0.66666667  0.875       0.44444444  0.89795918  0.85714286  0.75438596
  0.9122807   0.45833333  0.70422535  0.81081081  0.91954023  0.92307692
  0.87096774  0.73684211  0.96969697  0.98734177  0.89361702  0.93333333
  0.93442623  0.70103093  0.96385542  0.17142857]

session 8 training set:

accuracy: 99.381443299
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  0.98214286  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.88        1.          1.          1.
  1.          1.          0.98989899  1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.96296296]

session 8 test set:

accuracy: 85.5397148676
f1 by class: [ 0.85526316  0.83243243  0.74534161  0.88135593  0.97333333  0.86956522
  0.8         0.9380531   0.91935484  0.91358025  0.94594595  0.97297297
  0.97560976  1.          0.75        0.92682927  0.95        0.35714286
  0.66666667  0.875       0.4         0.92        0.8         0.78181818
  0.9122807   0.52        0.71428571  0.78378378  0.94117647  0.93333333
  0.9         0.76923077  0.96969697  0.98734177  0.875       0.91764706
  0.95798319  0.68041237  0.95238095  0.17142857]

session 9 training set:

accuracy: 99.4501718213
f1 by class: [ 0.99337748  0.99459459  0.97402597  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.84615385  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.96969697  1.          1.
  1.          1.          1.          1.          0.96296296]

session 9 test set:

accuracy: 85.2681602172
f1 by class: [ 0.86092715  0.83243243  0.73619632  0.88888889  0.97333333  0.90909091
  0.61538462  0.92982456  0.90322581  0.91358025  0.95890411  0.97297297
  0.97560976  1.          0.76923077  0.92682927  0.97560976  0.38461538
  0.70588235  0.875       0.44444444  0.91666667  0.78688525  0.77777778
  0.9122807   0.59649123  0.73972603  0.76712329  0.93023256  0.93333333
  0.8         0.7027027   0.94117647  0.975       0.88421053  0.91764706
  0.95798319  0.6875      0.91954023  0.17142857]

averages over sessions
train accuracy: 99.4226804124
train f1 score: [ 0.99272395  0.99459459  0.97468789  0.98305085  1.          1.          1.
  0.99551158  1.          1.          1.          0.9972973   1.          1.
  1.          0.98837209  1.          0.86646154  1.          1.          1.
  1.          1.          0.9969697   1.          1.          1.          1.
  1.          1.          0.99672131  1.          0.9969697   0.9987013   1.
  0.99775281  1.          0.99892473  1.          0.95771044]
test accuracy: 85.655125594
test f1 score: [ 0.85944476  0.82830369  0.73650129  0.88518702  0.96757425  0.91610442
  0.77832418  0.93730411  0.90171708  0.9187764   0.96297305  0.95567568
  0.96280488  1.          0.77593555  0.93437593  0.9602439   0.36782106
  0.71551428  0.875       0.44555556  0.92070948  0.81239158  0.77663511
  0.91603146  0.54202375  0.72410396  0.80637491  0.93049448  0.92827277
  0.86734885  0.7664567   0.96684492  0.98363924  0.89240886  0.92187675
  0.95183934  0.68936932  0.95598156  0.16580115]
