data source: ../topic-classification-data/vectors_mi
vector size: 200

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 89.2096219931
f1 by class: [ 0.83211679  0.80769231  0.80536913  0.87116564  0.97222222  1.
  0.85714286  0.96363636  0.928       1.          0.98550725  0.97297297
  0.97435897  0.91666667  0.9         0.95454545  0.88372093  0.51851852
  0.95238095  1.          0.92307692  0.98039216  0.94545455  0.75806452
  0.96774194  0.61538462  0.8         0.82666667  0.98734177  0.94505495
  0.95081967  0.97674419  1.          0.98701299  0.96774194  0.93975904
  0.98275862  0.80373832  1.          0.27777778]

performance on test set:

accuracy: 84.7929395791
f1 by class: [ 0.87248322  0.86363636  0.77631579  0.88198758  0.97260274  0.9047619
  0.84210526  0.95495495  0.928       0.925       0.90410959  0.75
  0.93023256  0.96        0.68421053  0.90909091  0.85106383  0.30769231
  0.58823529  0.71428571  0.72727273  0.90196078  0.92857143  0.7107438
  0.96551724  0.54794521  0.62686567  0.7012987   0.96470588  0.87058824
  0.8852459   0.9         0.91428571  0.97435897  0.96907216  0.89156627
  0.96666667  0.63461538  0.97560976  0.05882353]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 90.1030927835
f1 by class: [ 0.87407407  0.86904762  0.7826087   0.89820359  0.99319728  0.84444444
  0.875       0.94827586  0.944       0.96385542  0.97142857  1.
  0.97435897  1.          0.9047619   0.95454545  0.88372093  0.64        1.
  0.83333333  0.66666667  0.96        0.90909091  0.80991736  0.98360656
  0.73529412  0.78688525  0.82191781  0.98734177  0.93478261  0.96666667
  0.92307692  1.          0.98701299  0.96842105  0.93975904  0.99145299
  0.81553398  0.98795181  0.23529412]

session 0 test set:

accuracy: 84.0461642906
f1 by class: [ 0.84210526  0.80645161  0.75776398  0.88198758  0.96688742  0.7826087
  0.71428571  0.92173913  0.864       0.925       0.91666667  0.94736842
  0.95238095  1.          0.68292683  0.95238095  0.89361702  0.13793103
  0.47058824  0.22222222  0.5         0.96        0.87272727  0.7079646
  0.93103448  0.62295082  0.67692308  0.7826087   0.92134831  0.91304348
  0.89552239  0.81081081  0.94117647  0.96296296  0.94736842  0.90243902
  0.95726496  0.67924528  0.97560976  0.        ]

session 1 training set:

accuracy: 90.3092783505
f1 by class: [ 0.86131387  0.86363636  0.81818182  0.89820359  0.99319728  0.92682927
  0.94117647  0.95495495  0.944       0.98765432  0.97142857  1.
  0.97435897  1.          0.88372093  0.93023256  0.86363636  0.64        1.
  0.83333333  0.92307692  0.96        0.94339623  0.81666667  0.98360656
  0.74626866  0.77419355  0.83333333  0.92857143  0.94505495  0.96666667
  0.97560976  1.          0.98701299  0.93877551  0.91566265  0.98305085
  0.79591837  0.98795181  0.28571429]

session 1 test set:

accuracy: 83.978275628
f1 by class: [ 0.83333333  0.76923077  0.7625      0.88198758  0.96688742  0.8372093
  0.71428571  0.93693694  0.87603306  0.925       0.92957746  0.92307692
  0.93023256  1.          0.68292683  0.95238095  0.89361702  0.08333333
  0.47058824  0.          0.5         0.94117647  0.92857143  0.72727273
  0.93103448  0.6440678   0.6875      0.75        0.86315789  0.91304348
  0.90625     0.78947368  0.90909091  0.98734177  0.92929293  0.90243902
  0.96666667  0.68686869  0.96385542  0.05555556]

session 2 training set:

accuracy: 89.9656357388
f1 by class: [ 0.87591241  0.8452381   0.80769231  0.89820359  0.98630137  0.87179487
  0.875       0.94642857  0.93023256  0.98765432  0.97142857  0.97297297
  0.97435897  1.          0.91891892  0.93023256  0.9047619   0.64        0.9
  0.83333333  0.83333333  0.96        0.94339623  0.81666667  0.98360656
  0.68493151  0.72222222  0.84507042  0.98734177  0.94505495  0.96666667
  0.97560976  0.96774194  0.98701299  0.96842105  0.94117647  0.98305085
  0.82        0.98795181  0.31578947]

session 2 test set:

accuracy: 84.7250509165
f1 by class: [ 0.83870968  0.81081081  0.7672956   0.88198758  0.96644295  0.85        0.8
  0.93693694  0.87804878  0.925       0.92957746  0.97297297  0.93023256
  1.          0.71794872  0.95238095  0.90909091  0.14814815  0.55555556
  0.22222222  0.5         0.94117647  0.89655172  0.72566372  0.93103448
  0.61290323  0.60526316  0.79411765  0.92134831  0.92307692  0.90909091
  0.82051282  0.9375      0.975       0.95744681  0.93023256  0.96666667
  0.70588235  0.96385542  0.10526316]

session 3 training set:

accuracy: 87.35395189
f1 by class: [ 0.87407407  0.85185185  0.77852349  0.9047619   0.97931034  0.87179487
  0.875       0.95495495  0.68539326  0.975       0.97142857  1.
  0.97435897  1.          0.82051282  0.85        0.85714286  0.66666667
  0.82352941  0.44444444  0.5         0.96        0.92592593  0.81355932
  0.98305085  0.56470588  0.78688525  0.83333333  0.98734177  0.90909091
  0.96551724  0.95        0.96774194  0.97435897  0.96842105  0.93975904
  0.96666667  0.78723404  1.          0.25      ]

session 3 test set:

accuracy: 83.0957230143
f1 by class: [ 0.85526316  0.84269663  0.77419355  0.88888889  0.96644295  0.85
  0.71428571  0.94444444  0.65168539  0.93670886  0.91428571  0.91428571
  0.93023256  1.          0.81081081  0.95238095  0.88888889  0.1         0.4
  0.          0.          0.96        0.88461538  0.73584906  0.94736842
  0.40816327  0.625       0.81818182  0.93181818  0.91764706  0.92307692
  0.83333333  0.90322581  0.98734177  0.98969072  0.89156627  0.97478992
  0.66666667  0.97560976  0.        ]

session 4 training set:

accuracy: 89.8281786942
f1 by class: [ 0.87407407  0.82352941  0.78666667  0.90588235  0.99319728  0.9047619
  0.875       0.9380531   0.94488189  0.95238095  0.98550725  0.97297297
  0.97435897  1.          0.88372093  0.87804878  0.88372093  0.66666667
  0.94736842  0.83333333  0.72727273  0.96153846  0.94339623  0.81666667
  0.98360656  0.75757576  0.75409836  0.84931507  0.975       0.94505495
  0.96666667  0.95238095  0.93333333  0.97435897  0.96842105  0.93975904
  0.97478992  0.78723404  0.98795181  0.33333333]

session 4 test set:

accuracy: 84.1140529532
f1 by class: [ 0.85333333  0.74757282  0.76923077  0.87804878  0.96688742  0.85714286
  0.61538462  0.92857143  0.86614173  0.925       0.92957746  0.94736842
  0.95238095  1.          0.68292683  0.95238095  0.93333333  0.16666667
  0.47058824  0.22222222  0.28571429  0.94117647  0.89285714  0.72072072
  0.94915254  0.64285714  0.6875      0.73972603  0.91111111  0.91304348
  0.89230769  0.82051282  0.82758621  0.975       0.94736842  0.93023256
  0.96666667  0.68041237  0.96385542  0.1025641 ]

session 5 training set:

accuracy: 90.7216494845
f1 by class: [ 0.86764706  0.88235294  0.80769231  0.91764706  0.97333333  0.88372093
  0.94117647  0.96491228  0.93548387  0.98765432  0.98550725  0.97297297
  0.97435897  1.          0.88372093  0.95454545  0.9047619   0.66666667
  0.94736842  0.83333333  0.72727273  0.98039216  0.92592593  0.82352941
  0.98360656  0.75757576  0.79365079  0.83333333  0.975       0.93478261
  0.96666667  0.95238095  1.          0.98701299  0.94845361  0.95238095
  0.98305085  0.80808081  0.98795181  0.28571429]

session 5 test set:

accuracy: 84.4534962661
f1 by class: [ 0.8496732   0.81081081  0.7625      0.86746988  0.96688742  0.8
  0.71428571  0.9380531   0.87603306  0.925       0.92957746  0.92307692
  0.95238095  1.          0.68292683  0.95238095  0.93023256  0.15384615
  0.44444444  0.22222222  0.5         0.94117647  0.90909091  0.74545455
  0.93103448  0.63157895  0.67692308  0.72972973  0.91111111  0.91304348
  0.87878788  0.82051282  0.90909091  0.98734177  0.92        0.93023256
  0.96666667  0.67961165  0.96385542  0.05882353]

session 6 training set:

accuracy: 88.9347079038
f1 by class: [ 0.87407407  0.83229814  0.78145695  0.9122807   0.99319728  0.87179487
  0.94117647  0.96363636  0.944       0.98765432  0.97142857  0.4556962
  0.97435897  1.          0.87179487  0.93023256  0.88372093  0.72
  0.94736842  0.83333333  0.8         0.96        0.90909091  0.83928571
  0.98360656  0.71428571  0.75409836  0.83333333  0.975       0.94505495
  0.96666667  0.97560976  1.          0.98701299  0.96842105  0.93975904
  0.98305085  0.80412371  0.98765432  0.23529412]

session 6 test set:

accuracy: 84.0461642906
f1 by class: [ 0.86486486  0.84916201  0.77419355  0.8902439   0.97333333  0.82051282
  0.61538462  0.93577982  0.89430894  0.925       0.92957746  0.38297872
  0.95238095  1.          0.75675676  0.95238095  0.93333333  0.1         0.375
  0.          0.5         0.94117647  0.89285714  0.75247525  0.93103448
  0.625       0.66666667  0.75        0.92134831  0.93478261  0.89230769
  0.85        0.9375      0.975       0.95744681  0.94117647  0.97478992
  0.71287129  0.98765432  0.        ]

session 7 training set:

accuracy: 90.3780068729
f1 by class: [ 0.86764706  0.87951807  0.79487179  0.9122807   0.97986577  0.9         0.8
  0.96428571  0.92913386  0.97560976  0.98550725  0.97297297  0.97435897
  1.          0.88372093  0.95454545  0.9047619   0.64        1.
  0.92307692  0.92307692  0.98039216  0.92592593  0.80327869  0.98360656
  0.72463768  0.75757576  0.82857143  0.98734177  0.92473118  0.96666667
  0.95238095  1.          0.98701299  0.94845361  0.95238095  0.98305085
  0.8         0.98795181  0.29411765]

session 7 test set:

accuracy: 84.5892735913
f1 by class: [ 0.84210526  0.83333333  0.75308642  0.87272727  0.95364238  0.87804878
  0.61538462  0.94642857  0.86885246  0.925       0.92753623  0.8372093
  0.93023256  1.          0.68292683  0.95238095  0.93023256  0.20689655
  0.44444444  0.22222222  0.5         0.94117647  0.89655172  0.69565217
  0.94915254  0.61290323  0.70588235  0.81818182  0.92134831  0.91304348
  0.92307692  0.82051282  0.9375      0.98734177  0.93069307  0.93023256
  0.96666667  0.68627451  0.96385542  0.        ]

session 8 training set:

accuracy: 89.6907216495
f1 by class: [ 0.87591241  0.85185185  0.78378378  0.9112426   0.99319728  0.9047619
  0.94117647  0.864       0.92913386  0.975       0.95774648  1.
  0.97435897  1.          0.9047619   0.9047619   0.88372093  0.66666667
  1.          0.72727273  0.66666667  0.96        0.96296296  0.85217391
  0.98360656  0.70422535  0.77419355  0.82191781  0.98734177  0.92473118
  0.91803279  0.97560976  1.          0.98701299  0.92        0.93975904
  0.99145299  0.79166667  0.98795181  0.36842105]

session 8 test set:

accuracy: 84.4534962661
f1 by class: [ 0.83544304  0.82417582  0.76923077  0.88343558  0.96688742  0.81818182
  0.71428571  0.88888889  0.87804878  0.91139241  0.92957746  0.92307692
  0.93023256  1.          0.71428571  0.95238095  0.90909091  0.23529412
  0.47058824  0.2         0.28571429  0.94117647  0.84210526  0.75728155
  0.94736842  0.61538462  0.6875      0.77142857  0.91111111  0.9010989
  0.90909091  0.81081081  0.9375      0.975       0.94845361  0.93023256
  0.97478992  0.7         0.95238095  0.10810811]

session 9 training set:

accuracy: 90.3092783505
f1 by class: [ 0.87407407  0.8172043   0.81290323  0.89820359  0.98648649  0.9047619
  0.875       0.9380531   0.95934959  0.97560976  0.97142857  1.
  0.97435897  1.          0.88372093  0.95454545  0.9047619   0.64
  0.94736842  0.83333333  0.92307692  0.96        0.94339623  0.81666667
  0.98360656  0.75757576  0.77419355  0.86111111  0.975       0.94505495
  0.96666667  0.97560976  1.          0.98701299  0.95833333  0.94117647
  0.97478992  0.78723404  1.          0.28571429]

session 9 test set:

accuracy: 84.1819416158
f1 by class: [ 0.85333333  0.73333333  0.7625      0.88198758  0.96688742  0.8
  0.71428571  0.90434783  0.90163934  0.925       0.94285714  0.97297297
  0.95238095  1.          0.68292683  0.93023256  0.90909091  0.14285714
  0.47058824  0.22222222  0.5         0.94117647  0.85185185  0.73394495
  0.93103448  0.64285714  0.6984127   0.77142857  0.9010989   0.91304348
  0.90909091  0.85        0.9375      0.975       0.95744681  0.91954023
  0.97478992  0.66666667  0.97560976  0.05714286]

averages over sessions
train accuracy: 89.7594501718
train f1 score: [ 0.87188032  0.85165286  0.7954381   0.90569097  0.98712837  0.8884665
  0.89397059  0.94375549  0.91456089  0.97680732  0.97428396  0.93475881
  0.97435897  1.          0.88393551  0.92416902  0.88747106  0.65866667
  0.95130031  0.79281274  0.76904429  0.96423228  0.93325075  0.82084111
  0.98355099  0.71470762  0.76779966  0.8361237   0.97652803  0.93533932
  0.96168834  0.96082686  0.98688172  0.98448218  0.95561213  0.94015727
  0.98144067  0.79970257  0.9903317   0.28893926]
test accuracy: 84.1683638832
test f1 score: [ 0.84681645  0.8027578   0.76524946  0.88087646  0.96611861  0.82937043
  0.69318681  0.92821271  0.85547915  0.92481013  0.92788105  0.87443873
  0.94130676  1.          0.7097363   0.95016611  0.91305274  0.14749731
  0.45723856  0.15333333  0.40714286  0.94494118  0.88677798  0.73022793
  0.93792488  0.60586662  0.6717571   0.77254029  0.91148016  0.91548664
  0.90386022  0.82264799  0.91776703  0.97873301  0.94852076  0.92083238
  0.9689758   0.68644995  0.96861417  0.04874573]
