data source: ../topic-classification-data/vectors_tf_idf
vector size: 1000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 92.5773195876
f1 by class: [ 0.85714286  0.8         0.875       0.87654321  0.97931034  1.          1.
  0.99082569  0.95934959  1.          1.          1.          1.          0.96
  0.97435897  0.97777778  0.97560976  0.75862069  1.          1.          1.
  1.          0.93103448  0.8         0.98360656  0.68421053  0.92753623
  0.88        1.          0.96629213  0.94915254  0.95454545  0.96774194
  0.98701299  0.94949495  0.98850575  0.98275862  0.89795918  0.98795181
  0.79245283]

performance on test set:

accuracy: 82.9599456891
f1 by class: [ 0.88888889  0.81081081  0.73548387  0.87654321  0.97260274  0.9047619
  0.71428571  0.9122807   0.85714286  0.90243902  0.88571429  0.91891892
  0.9047619   0.96        0.63157895  0.62222222  0.9         0.33333333
  0.77777778  0.76923077  0.4         0.92        0.75        0.6875
  0.9122807   0.53731343  0.67647059  0.69444444  0.97619048  0.93333333
  0.84210526  0.77272727  0.9375      0.96        0.92783505  0.92134831
  0.96666667  0.60377358  0.97560976  0.25641026]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 99.7250859107
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.98863636  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.92307692  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 0 test set:

accuracy: 86.4901561439
f1 by class: [ 0.88        0.81632653  0.76433121  0.85875706  0.97368421  0.90909091
  0.71428571  0.95495495  0.89430894  0.92682927  0.95890411  0.97297297
  0.97560976  1.          0.75675676  0.92682927  0.95        0.35714286
  0.84210526  0.94117647  0.66666667  0.93877551  0.84745763  0.76363636
  0.94736842  0.42553191  0.73972603  0.81690141  0.94252874  0.93333333
  0.88888889  0.87179487  0.96969697  0.98734177  0.91489362  0.95348837
  0.95798319  0.70707071  0.96385542  0.22222222]

session 1 training set:

accuracy: 99.793814433
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 1 test set:

accuracy: 86.6259334691
f1 by class: [ 0.8516129   0.83597884  0.78709677  0.87861272  0.96688742  0.93023256
  0.71428571  0.95495495  0.91056911  0.90243902  0.95890411  0.97297297
  0.97560976  1.          0.75        0.92682927  0.95        0.33333333
  0.84210526  0.94117647  0.66666667  0.91666667  0.81967213  0.75
  0.92857143  0.54901961  0.75675676  0.81690141  0.8988764   0.93333333
  0.90322581  0.87179487  0.96969697  0.98734177  0.90526316  0.96551724
  0.95798319  0.7311828   0.96385542  0.21621622]

session 2 training set:

accuracy: 99.7250859107
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.98924731  1.          0.98181818]

session 2 test set:

accuracy: 86.2864901561
f1 by class: [ 0.85526316  0.84042553  0.7483871   0.88888889  0.96052632  0.87804878
  0.8         0.94642857  0.896       0.91358025  0.97222222  0.94444444
  0.97560976  1.          0.73684211  0.92682927  0.92307692  0.35714286
  0.8         0.94117647  0.6         0.93617021  0.82758621  0.75675676
  0.92857143  0.60377358  0.73972603  0.85294118  0.91954023  0.90322581
  0.90322581  0.87179487  0.96969697  0.975       0.90526316  0.95454545
  0.95798319  0.69902913  0.96385542  0.25      ]

session 3 training set:

accuracy: 99.793814433
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 3 test set:

accuracy: 86.4222674813
f1 by class: [ 0.8627451   0.82795699  0.75308642  0.87356322  0.96732026  0.93023256
  0.875       0.94642857  0.89430894  0.925       0.95890411  0.94444444
  0.97560976  1.          0.73684211  0.92682927  0.92307692  0.34482759
  0.8         0.94117647  0.5         0.91666667  0.84210526  0.75229358
  0.94736842  0.59259259  0.72972973  0.81690141  0.94252874  0.93333333
  0.875       0.87179487  0.96969697  0.975       0.91489362  0.95454545
  0.96610169  0.71578947  0.96385542  0.21621622]

session 4 training set:

accuracy: 99.7250859107
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.98863636  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.92307692  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 4 test set:

accuracy: 86.6938221317
f1 by class: [ 0.86666667  0.84491979  0.76433121  0.88372093  0.96688742  0.90909091
  0.8         0.94642857  0.90322581  0.92682927  0.97222222  0.97297297
  0.95        1.          0.76923077  0.92682927  0.95        0.32258065
  0.8         0.94117647  0.66666667  0.91666667  0.82758621  0.77777778
  0.93103448  0.60377358  0.73972603  0.78378378  0.90909091  0.93333333
  0.91803279  0.87179487  0.96969697  0.98734177  0.91666667  0.96551724
  0.93442623  0.71578947  0.96385542  0.21621622]

session 5 training set:

accuracy: 99.6563573883
f1 by class: [ 0.98684211  0.99459459  0.99354839  0.98863636  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.92307692  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 5 test set:

accuracy: 86.2186014936
f1 by class: [ 0.8590604   0.83870968  0.76923077  0.86705202  0.96052632  0.9047619
  0.875       0.9380531   0.890625    0.93670886  0.95890411  0.97297297
  0.97560976  1.          0.71794872  0.92682927  0.89473684  0.33333333
  0.8         0.94117647  0.66666667  0.93617021  0.82758621  0.76785714
  0.93103448  0.61818182  0.72        0.8115942   0.94252874  0.93333333
  0.91803279  0.87179487  0.96969697  0.975       0.90526316  0.91954023
  0.95        0.67346939  0.96385542  0.22222222]

session 6 training set:

accuracy: 99.587628866
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.98305085  1.          1.          1.
  1.          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.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 6 test set:

accuracy: 86.6259334691
f1 by class: [ 0.87417219  0.83695652  0.76923077  0.87861272  0.96052632  0.90909091
  0.8         0.9380531   0.90322581  0.91566265  0.95890411  0.8
  0.97560976  1.          0.75675676  0.92682927  0.97560976  0.35714286
  0.8         0.94117647  0.66666667  0.91666667  0.84210526  0.76363636
  0.92857143  0.59259259  0.72727273  0.8         0.93181818  0.93333333
  0.91803279  0.87179487  1.          0.975       0.90526316  0.95348837
  0.95798319  0.7311828   0.97560976  0.22222222]

session 7 training set:

accuracy: 99.6563573883
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.98863636  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.92307692  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.98876404  1.          1.          1.          0.98181818]

session 7 test set:

accuracy: 86.4222674813
f1 by class: [ 0.84768212  0.84042553  0.74534161  0.88        0.96103896  0.9047619
  0.8         0.94642857  0.90322581  0.925       0.94444444  0.94444444
  0.97560976  1.          0.73684211  0.92682927  0.95        0.4         0.8
  0.94117647  0.66666667  0.93617021  0.85714286  0.76785714  0.91525424
  0.57692308  0.73972603  0.78873239  0.93023256  0.93333333  0.91803279
  0.87179487  0.96969697  0.975       0.91666667  0.92307692  0.95798319
  0.70103093  0.96385542  0.22222222]

session 8 training set:

accuracy: 99.7250859107
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.99428571  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 8 test set:

accuracy: 86.6938221317
f1 by class: [ 0.85714286  0.84042553  0.78481013  0.87719298  0.96052632  0.93023256
  0.875       0.9380531   0.91056911  0.9382716   0.95890411  0.97297297
  0.97560976  1.          0.75675676  0.92682927  0.95        0.32258065
  0.8         0.94117647  0.6         0.93617021  0.84210526  0.75675676
  0.92857143  0.57692308  0.76056338  0.79452055  0.93181818  0.93333333
  0.91803279  0.87179487  0.96969697  0.975       0.90526316  0.96551724
  0.95798319  0.70103093  0.96385542  0.16216216]

session 9 training set:

accuracy: 99.7250859107
f1 by class: [ 0.99337748  0.99459459  0.99354839  0.98863636  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.92307692  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.98181818]

session 9 test set:

accuracy: 86.5580448065
f1 by class: [ 0.86842105  0.84042553  0.77419355  0.87356322  0.96688742  0.88372093
  0.71428571  0.9380531   0.896       0.91358025  0.95890411  0.97297297
  0.97560976  1.          0.75        0.92682927  0.95        0.35714286
  0.84210526  0.94117647  0.66666667  0.93617021  0.82758621  0.78504673
  0.94736842  0.61818182  0.75675676  0.78378378  0.94117647  0.93333333
  0.88888889  0.87179487  0.96969697  0.98734177  0.90526316  0.95348837
  0.95        0.71578947  0.8988764   0.17142857]

averages over sessions
train accuracy: 99.7113402062
train f1 score: [ 0.99272395  0.99459459  0.99354839  0.99033755  1.          1.          1.
  0.9990991   1.          1.          1.          0.9972973   1.          1.
  1.          0.98837209  1.          0.93472365  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.9988764   1.          0.99892473  1.          0.98181818]
test accuracy: 86.5037338764
test f1 score: [ 0.86227664  0.83625505  0.76600395  0.87599638  0.96448109  0.90892639
  0.79678571  0.94478366  0.90020585  0.92239012  0.96012177  0.94711712
  0.97304878  1.          0.74679761  0.92682927  0.94165004  0.3485227
  0.81263158  0.94117647  0.63666667  0.92862932  0.83609332  0.76416186
  0.93337142  0.57574937  0.74099835  0.80660601  0.92901391  0.93032258
  0.90493933  0.87179487  0.97272727  0.97993671  0.90946995  0.95087249
  0.95484271  0.70913651  0.95853295  0.21211283]
