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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 93.676975945
f1 by class: [ 0.87407407  0.81761006  0.89932886  0.87116564  0.98630137  1.          1.
  0.99082569  0.97560976  1.          1.          1.          1.          1.
  1.          1.          1.          0.68965517  1.          1.          1.
  1.          0.96428571  0.81355932  1.          0.68421053  0.98550725
  0.88        1.          0.98850575  0.96551724  0.95454545  1.
  0.98701299  0.96907216  1.          0.98275862  0.92        1.
  0.81481481]

performance on test set:

accuracy: 84.5213849287
f1 by class: [ 0.8707483   0.82162162  0.73076923  0.87654321  0.98648649  0.9047619
  0.61538462  0.92857143  0.87394958  0.86746988  0.93150685  0.89473684
  0.92682927  0.92307692  0.68421053  0.68292683  0.95238095  0.48
  0.84210526  0.85714286  0.          0.93617021  0.79365079  0.74193548
  0.94736842  0.59701493  0.73239437  0.73529412  0.97619048  0.90322581
  0.82758621  0.79069767  0.86666667  0.97368421  0.94845361  0.93181818
  0.95867769  0.63551402  0.98765432  0.3902439 ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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 0 test set:

accuracy: 88.2552613714
f1 by class: [ 0.88        0.83673469  0.75159236  0.87150838  0.97368421  0.93023256
  0.8         0.95495495  0.91803279  0.92682927  0.95774648  0.97297297
  0.95        1.          0.87179487  0.95238095  0.97560976  0.5         0.9
  0.94117647  0.90909091  0.96        0.84745763  0.7962963   0.94736842
  0.5106383   0.78947368  0.8115942   0.95348837  0.95454545  0.9         0.9
  0.96969697  0.98734177  0.95744681  0.96470588  0.96666667  0.72527473
  0.96385542  0.45454545]

session 1 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          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.          1.        ]

session 1 test set:

accuracy: 88.2552613714
f1 by class: [ 0.87012987  0.84375     0.75641026  0.89772727  0.96052632  0.93023256
  0.875       0.95495495  0.91935484  0.9382716   0.98550725  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.92682927  0.4         0.9
  1.          0.72727273  0.98039216  0.86206897  0.7706422   0.92857143
  0.54901961  0.8         0.80597015  0.95348837  0.92307692  0.91525424
  0.9         0.96969697  0.98734177  0.95833333  0.96551724  0.97478992
  0.7311828   0.96385542  0.37209302]

session 2 training set:

accuracy: 99.793814433
f1 by class: [ 1.          1.          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: 88.5268160217
f1 by class: [ 0.8627451   0.85263158  0.76923077  0.9005848   0.97368421  0.9047619
  0.8         0.95495495  0.92682927  0.92682927  0.94444444  0.97297297
  0.97560976  1.          0.86486486  0.92682927  0.97560976  0.41666667
  0.9         0.94117647  1.          0.97959184  0.83333333  0.78181818
  0.92857143  0.60377358  0.81690141  0.82352941  0.96470588  0.95454545
  0.9         0.9         0.96969697  0.98734177  0.95833333  0.97674419
  0.98305085  0.7047619   0.95238095  0.40909091]

session 3 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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: 88.5947046843
f1 by class: [ 0.88        0.85714286  0.74683544  0.90285714  0.96688742  0.93023256
  0.8         0.94642857  0.912       0.9382716   0.95774648  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.97560976  0.5         0.9
  0.94117647  0.72727273  0.96        0.86206897  0.79245283  0.96551724
  0.59259259  0.8         0.78873239  0.95348837  0.95454545  0.93333333
  0.92682927  0.96969697  0.98734177  0.94736842  0.97674419  0.97478992
  0.7311828   0.96385542  0.34146341]

session 4 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          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.          1.        ]

session 4 test set:

accuracy: 88.5947046843
f1 by class: [ 0.87417219  0.84816754  0.7483871   0.90697674  0.97333333  0.95652174
  0.8         0.94642857  0.944       0.9382716   0.94444444  0.97297297
  0.97560976  1.          0.87179487  0.92682927  0.97560976  0.5         0.9
  0.94117647  0.90909091  0.96        0.84745763  0.78504673  0.92857143
  0.54901961  0.81081081  0.80555556  0.95348837  0.94382022  0.91525424
  0.92682927  0.96969697  0.98734177  0.95833333  0.97674419  0.96666667
  0.7311828   0.96385542  0.37209302]

session 5 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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 5 test set:

accuracy: 88.5268160217
f1 by class: [ 0.8707483   0.86170213  0.76923077  0.90588235  0.96052632  0.93023256
  0.875       0.9380531   0.92913386  0.95        0.95774648  0.97297297
  0.97560976  1.          0.82051282  0.97674419  0.86486486  0.46666667
  0.9         0.94117647  0.90909091  0.96        0.88135593  0.78899083
  0.93103448  0.60377358  0.81081081  0.78873239  0.96470588  0.95454545
  0.91525424  0.9         0.96969697  1.          0.95833333  0.93333333
  0.97478992  0.72164948  0.96385542  0.38095238]

session 6 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          0.97297297  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.          1.        ]

session 6 test set:

accuracy: 88.5947046843
f1 by class: [ 0.88590604  0.85714286  0.76923077  0.9017341   0.96688742  0.95454545
  0.8         0.95495495  0.928       0.92682927  0.95774648  0.85714286
  0.95        1.          0.84210526  0.92682927  0.95238095  0.51612903
  0.9         1.          0.90909091  0.96        0.86206897  0.79245283
  0.92857143  0.59259259  0.78947368  0.8115942   0.95348837  0.95454545
  0.93333333  0.92682927  0.96969697  0.98734177  0.94736842  0.97674419
  0.96666667  0.73684211  0.96385542  0.35      ]

session 7 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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 7 test set:

accuracy: 88.2552613714
f1 by class: [ 0.88        0.85714286  0.75641026  0.88636364  0.95424837  0.93023256
  0.8         0.94642857  0.91056911  0.95        0.95774648  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.95        0.42857143
  0.9         0.94117647  0.92307692  0.96        0.90909091  0.76363636
  0.96551724  0.57692308  0.8         0.79411765  0.96470588  0.95454545
  0.91525424  0.92682927  0.96969697  0.975       0.94845361  0.92307692
  0.96610169  0.7311828   0.95238095  0.35      ]

session 8 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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 8 test set:

accuracy: 88.7304820095
f1 by class: [ 0.87417219  0.85714286  0.76433121  0.89534884  0.96688742  0.95454545
  0.875       0.95495495  0.928       0.9382716   0.94444444  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.95        0.4516129
  0.9         0.94117647  0.83333333  0.96        0.89285714  0.77358491
  0.94736842  0.60377358  0.81081081  0.81690141  0.96470588  0.95454545
  0.91525424  0.92682927  0.96969697  0.98734177  0.9375      0.96551724
  0.96610169  0.75268817  0.94117647  0.41860465]

session 9 training set:

accuracy: 99.8625429553
f1 by class: [ 1.          1.          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 9 test set:

accuracy: 88.2552613714
f1 by class: [ 0.88        0.85106383  0.75949367  0.89142857  0.96688742  0.90909091
  0.8         0.94642857  0.92682927  0.92682927  0.94444444  0.97297297
  0.95        1.          0.87179487  0.95238095  0.95        0.46153846
  0.9         0.94117647  0.83333333  0.96        0.86206897  0.77777778
  0.92857143  0.58181818  0.77922078  0.8         0.96470588  0.96629213
  0.9         0.92682927  0.96969697  0.98734177  0.96842105  0.96551724
  0.97478992  0.7173913   0.94117647  0.35      ]

averages over sessions
train accuracy: 99.8694158076
train f1 score: [ 1.          1.          0.99548387  0.99428571  1.          1.          1.
  1.          1.          1.          1.          0.9972973   1.          1.
  1.          0.99534884  1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.99892473  1.          0.98727273]
test accuracy: 88.4589273591
test f1 score: [ 0.87578737  0.85226212  0.75911526  0.89604118  0.96635524  0.93306283
  0.8225      0.94985422  0.92427491  0.93604035  0.95520174  0.96138996
  0.96792683  1.          0.86300471  0.94715177  0.94965141  0.46411852
  0.9         0.95294118  0.86806527  0.9639984   0.86598284  0.78226989
  0.9399663   0.57639247  0.8007502   0.80467274  0.95909713  0.95150075
  0.91429379  0.91609756  0.96969697  0.98737342  0.95398916  0.96246446
  0.97144139  0.72833389  0.95702474  0.37988429]
