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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 88.7285223368
f1 by class: [ 0.82608696  0.79487179  0.82191781  0.87116564  0.96503497  0.95454545
  1.          0.95412844  0.91666667  1.          0.98507463  0.90909091
  1.          0.96        0.92682927  0.71111111  0.92682927  0.69230769
  0.95238095  0.93333333  1.          0.98039216  0.89655172  0.73333333
  0.94915254  0.64864865  0.81578947  0.78481013  1.          0.94505495
  0.91803279  0.85106383  0.9375      0.96103896  0.91262136  0.93023256
  0.97391304  0.89130435  0.98765432  0.59574468]

performance on test set:

accuracy: 76.8499660557
f1 by class: [ 0.87671233  0.82872928  0.67973856  0.87341772  0.97297297  0.66666667
  0.70588235  0.83928571  0.79646018  0.925       0.88235294  0.47058824
  0.95        0.88888889  0.66666667  0.4         0.84210526  0.35714286
  0.5         0.33333333  0.46153846  0.96        0.60606061  0.55944056
  0.87719298  0.53968254  0.50666667  0.62337662  0.94252874  0.84
  0.79310345  0.66666667  0.875       0.88888889  0.81632653  0.79545455
  0.93442623  0.51111111  0.98765432  0.1025641 ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 98.1443298969
f1 by class: [ 0.97986577  0.9787234   0.91612903  0.96666667  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.93023256  1.          0.88        1.          1.
  0.90909091  1.          1.          0.98        1.          0.98113208
  0.98507463  0.94285714  1.          1.          0.98360656  1.          1.
  0.98701299  0.98947368  0.98850575  1.          0.98901099  1.          0.8627451 ]

session 0 test set:

accuracy: 79.7012898846
f1 by class: [ 0.85526316  0.80829016  0.72049689  0.86904762  0.96052632  0.7826087
  0.61538462  0.89655172  0.87301587  0.89411765  0.91428571  0.5
  0.92682927  1.          0.72222222  0.55555556  0.8372093   0.
  0.63157895  0.36363636  0.44444444  0.86792453  0.73015873  0.62711864
  0.9122807   0.49122807  0.39285714  0.73684211  0.8988764   0.92307692
  0.78787879  0.64864865  0.96969697  0.975       0.88421053  0.74666667
  0.928       0.59615385  0.94117647  0.0625    ]

session 1 training set:

accuracy: 98.2130584192
f1 by class: [ 0.97986577  0.98395722  0.92207792  0.98305085  0.99328859  0.97777778
  1.          0.98214286  1.          1.          1.          1.          1.
  1.          1.          0.95238095  1.          0.88        1.          1.
  1.          1.          1.          0.97029703  1.          0.98113208
  0.98507463  0.92957746  0.98765432  1.          1.          1.          1.
  0.98701299  0.98947368  1.          1.          0.97777778  1.          0.8627451 ]

session 1 test set:

accuracy: 79.9049558724
f1 by class: [ 0.8125      0.81914894  0.73076923  0.86227545  0.96052632  0.8         0.8
  0.88695652  0.88188976  0.89411765  0.94285714  0.52631579  0.95238095
  1.          0.66666667  0.55555556  0.87804878  0.          0.58823529
  0.5         0.44444444  0.92        0.7         0.63247863  0.9122807
  0.50909091  0.37931034  0.72        0.87912088  0.92307692  0.8
  0.64864865  0.96969697  0.975       0.88659794  0.75        0.93548387
  0.62745098  0.93023256  0.0625    ]

session 2 training set:

accuracy: 97.8694158076
f1 by class: [ 0.97297297  0.97826087  0.91503268  0.97727273  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.95238095  0.97435897  0.88        1.          1.          1.
  1.          1.          0.98        1.          0.94545455  0.97058824
  0.94285714  1.          1.          0.96774194  0.97674419  1.
  0.98701299  0.98947368  0.98876404  1.          0.94736842  1.
  0.83018868]

session 2 test set:

accuracy: 79.7012898846
f1 by class: [ 0.83333333  0.82978723  0.72258065  0.86746988  0.97333333  0.7826087
  0.8         0.89655172  0.86614173  0.91566265  0.92957746  0.53658537
  0.92682927  1.          0.72222222  0.47058824  0.78947368  0.11111111
  0.58823529  0.2         0.44444444  0.86792453  0.73846154  0.61403509
  0.9122807   0.50847458  0.42857143  0.74666667  0.90909091  0.91111111
  0.76470588  0.61538462  0.96969697  0.96296296  0.88659794  0.71428571
  0.93548387  0.60377358  0.95238095  0.0625    ]

session 3 training set:

accuracy: 97.9381443299
f1 by class: [ 0.97986577  0.97826087  0.91612903  0.98305085  1.          1.          1.
  0.99099099  0.99186992  1.          1.          1.          1.          1.
  1.          0.93023256  0.97435897  0.88        1.          1.
  0.90909091  0.98039216  1.          0.98        1.          0.94545455
  0.97058824  0.94285714  1.          1.          1.          1.          1.
  0.97435897  0.98947368  0.96703297  1.          0.97777778  1.          0.8627451 ]

session 3 test set:

accuracy: 79.7012898846
f1 by class: [ 0.82802548  0.82539683  0.70886076  0.87272727  0.96688742  0.81818182
  0.8         0.87931034  0.86821705  0.89156627  0.95890411  0.45714286
  0.95238095  1.          0.7027027   0.57894737  0.78947368  0.
  0.63157895  0.          0.44444444  0.85185185  0.74193548  0.63793103
  0.9122807   0.49122807  0.45454545  0.73972603  0.90909091  0.90909091
  0.76470588  0.66666667  0.96969697  0.975       0.875       0.70588235
  0.95081967  0.62        0.95238095  0.0625    ]

session 4 training set:

accuracy: 97.8006872852
f1 by class: [ 0.97986577  0.97826087  0.91612903  0.98305085  1.          0.93617021
  1.          0.99099099  0.99186992  1.          0.98550725  1.          1.
  1.          1.          0.95238095  0.97435897  0.88        1.          1.
  0.90909091  0.97959184  1.          0.97029703  1.          0.94545455
  0.98507463  0.92957746  1.          1.          1.          1.          1.
  0.98701299  0.98947368  0.98876404  0.99159664  0.96629213  1.
  0.84615385]

session 4 test set:

accuracy: 79.633401222
f1 by class: [ 0.85526316  0.8342246   0.72151899  0.86746988  0.97333333  0.77272727
  0.71428571  0.88495575  0.86614173  0.89411765  0.92957746  0.51162791
  0.92682927  1.          0.66666667  0.51428571  0.78947368  0.
  0.58823529  0.2         0.44444444  0.92        0.73846154  0.62711864
  0.9122807   0.50909091  0.40677966  0.7         0.8988764   0.92307692
  0.8125      0.64864865  0.96969697  0.975       0.87128713  0.72289157
  0.928       0.62        0.91954023  0.0625    ]

session 5 training set:

accuracy: 97.8694158076
f1 by class: [ 0.96688742  0.9726776   0.91612903  0.98305085  1.          1.          1.
  0.99099099  0.99186992  1.          0.98550725  1.          1.          1.
  1.          0.93023256  0.97435897  0.88        1.          1.
  0.90909091  0.97959184  1.          0.96078431  1.          0.94545455
  0.97058824  0.97058824  1.          1.          1.          1.          1.
  0.98701299  0.98947368  0.98876404  1.          0.98901099  0.98795181
  0.84615385]

session 5 test set:

accuracy: 79.8370672098
f1 by class: [ 0.81528662  0.8342246   0.70807453  0.88343558  0.96052632  0.85714286
  0.71428571  0.89655172  0.85271318  0.9047619   0.94444444  0.55555556
  0.95238095  1.          0.72222222  0.56410256  0.78947368  0.
  0.58823529  0.5         0.44444444  0.88461538  0.72131148  0.63333333
  0.9122807   0.53571429  0.39344262  0.72972973  0.91954023  0.87912088
  0.81818182  0.61111111  0.96969697  0.975       0.85714286  0.73170732
  0.93548387  0.61538462  0.94117647  0.0625    ]

session 6 training set:

accuracy: 97.6632302405
f1 by class: [ 0.97297297  0.96174863  0.91612903  0.98305085  1.          1.          1.
  0.98214286  1.          1.          0.98550725  0.9         1.          1.
  1.          0.95238095  0.97435897  0.88        1.          0.93333333
  0.90909091  0.97959184  1.          0.97029703  1.          0.9122807
  0.97058824  0.95652174  1.          1.          1.          1.          1.
  0.98701299  0.98947368  0.98876404  1.          0.97777778  1.          0.8627451 ]

session 6 test set:

accuracy: 79.633401222
f1 by class: [ 0.8496732   0.82795699  0.72955975  0.86904762  0.95424837  0.75555556
  0.71428571  0.85950413  0.87096774  0.88372093  0.94285714  0.53333333
  0.92682927  1.          0.7027027   0.48484848  0.78947368  0.
  0.58823529  0.2         0.44444444  0.90196078  0.75        0.63865546
  0.9122807   0.5         0.3880597   0.76712329  0.88888889  0.8988764
  0.78787879  0.64864865  1.          0.95121951  0.87755102  0.74074074
  0.928       0.63917526  0.97560976  0.0625    ]

session 7 training set:

accuracy: 98.0756013746
f1 by class: [ 0.97986577  0.9787234   0.91612903  0.98305085  1.          1.          1.
  0.98214286  1.          1.          0.98550725  1.          1.          1.
  1.          0.95238095  0.97435897  0.88        1.          1.
  0.90909091  0.97959184  1.          0.98        1.          0.98113208
  0.98507463  0.94444444  1.          1.          1.          1.          1.
  0.98701299  0.98947368  0.96703297  1.          0.97777778  1.          0.8627451 ]

session 7 test set:

accuracy: 79.5655125594
f1 by class: [ 0.82802548  0.82105263  0.71698113  0.8742515   0.96688742  0.79069767
  0.61538462  0.88135593  0.875       0.88372093  0.92957746  0.52631579
  0.92682927  1.          0.68421053  0.59459459  0.78947368  0.
  0.58823529  0.36363636  0.44444444  0.90196078  0.75        0.62068966
  0.9122807   0.51851852  0.38596491  0.75324675  0.91954023  0.91304348
  0.76470588  0.68571429  0.96969697  0.96296296  0.87234043  0.68817204
  0.93548387  0.6         0.93023256  0.0625    ]

session 8 training set:

accuracy: 97.7319587629
f1 by class: [ 0.97986577  0.9726776   0.91612903  0.98305085  1.          0.97777778
  1.          0.95652174  1.          1.          0.98550725  1.          1.
  1.          1.          0.93023256  0.97435897  0.88        1.          1.
  0.90909091  0.97959184  1.          0.96        1.          0.94545455
  0.98507463  0.92957746  1.          1.          1.          1.          1.
  0.98701299  0.98947368  0.98876404  1.          0.97777778  0.98795181
  0.8627451 ]

session 8 test set:

accuracy: 79.4297352342
f1 by class: [ 0.84415584  0.82162162  0.71698113  0.87272727  0.95424837  0.8
  0.66666667  0.83606557  0.859375    0.88095238  0.94444444  0.53658537
  0.95238095  1.          0.72222222  0.59459459  0.78947368  0.
  0.66666667  0.2         0.44444444  0.90196078  0.74576271  0.63247863
  0.9122807   0.47272727  0.40740741  0.71052632  0.90909091  0.92307692
  0.7761194   0.66666667  0.96969697  0.96296296  0.84536082  0.70588235
  0.95867769  0.62135922  0.91954023  0.06060606]

session 9 training set:

accuracy: 97.8006872852
f1 by class: [ 0.97986577  0.9673913   0.91612903  0.98305085  1.          0.97777778
  1.          0.99099099  1.          1.          0.98550725  0.97297297
  1.          1.          1.          0.95238095  0.97435897  0.88        1.
  1.          0.90909091  0.97959184  1.          0.98        1.
  0.92857143  0.98507463  0.94285714  1.          1.          0.98360656
  1.          1.          0.98701299  0.98947368  0.98876404  1.
  0.97777778  0.96470588  0.8627451 ]

session 9 test set:

accuracy: 79.9049558724
f1 by class: [ 0.8496732   0.82795699  0.71604938  0.86227545  0.95424837  0.81818182
  0.71428571  0.88135593  0.87301587  0.89411765  0.94285714  0.52631579
  0.92682927  1.          0.72222222  0.59459459  0.78947368  0.11111111
  0.5         0.2         0.44444444  0.88461538  0.76666667  0.63247863
  0.9122807   0.52631579  0.40625     0.76712329  0.91954023  0.9010989
  0.75362319  0.66666667  0.97142857  0.975       0.875       0.72289157
  0.928       0.63366337  0.93023256  0.0625    ]

averages over sessions
train accuracy: 97.910652921
train f1 score: [ 0.97718938  0.97506818  0.91661429  0.98083462  0.99932886  0.98695035
  1.          0.98579053  0.99756098  1.          0.99130435  0.9872973   1.
  1.          1.          0.94352159  0.97948718  0.88        1.
  0.99333333  0.92727273  0.98579432  1.          0.97316754  1.
  0.95115211  0.97928007  0.94317154  0.99876543  1.          0.99349551
  0.99767442  1.          0.98574759  0.98947368  0.9855156   0.99915966
  0.97583492  0.99406095  0.85617121]
test accuracy: 79.7012898846
test f1 score: [ 0.83711995  0.82496606  0.71918724  0.87007275  0.96247655  0.79777044
  0.71545788  0.87991594  0.86864779  0.89368557  0.93793825  0.52097778
  0.93704994  1.          0.70340604  0.55076673  0.80310476  0.02222222
  0.59592363  0.27272727  0.44444444  0.8902814   0.73827581  0.62963178
  0.9122807   0.50623884  0.40431887  0.73709842  0.9051656   0.91046494
  0.78302996  0.65068046  0.97290043  0.96901084  0.87310887  0.72291203
  0.93634328  0.61769609  0.93925027  0.06231061]
