data source: ../topic-classification-data/vectors_tf_idf
vector size: 3000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 93.9518900344
f1 by class: [ 0.87407407  0.83229814  0.89932886  0.87804878  0.98630137  1.          1.
  0.99082569  0.98360656  1.          1.          1.          1.          1.
  1.          1.          1.          0.71428571  1.          1.          1.
  1.          0.96428571  0.82051282  1.          0.68421053  0.98550725
  0.90410959  1.          0.98850575  0.98305085  0.95454545  1.
  0.98701299  0.96907216  1.          0.98275862  0.91089109  1.
  0.81481481]

performance on test set:

accuracy: 84.1140529532
f1 by class: [ 0.875       0.82608696  0.72955975  0.87116564  0.98648649  0.9047619
  0.5         0.92982456  0.85        0.84337349  0.94444444  0.88888889
  0.95        1.          0.74285714  0.68292683  0.9         0.52173913
  0.84210526  0.4         0.          0.95833333  0.81967213  0.71212121
  0.94736842  0.59701493  0.75        0.66666667  0.97619048  0.90322581
  0.86206897  0.81818182  0.90322581  0.98701299  0.93877551  0.9010989
  0.95081967  0.63793103  0.96385542  0.38095238]

SUPPORT VECTOR MACHINE

session 0 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 0 test set:

accuracy: 88.4589273591
f1 by class: [ 0.91034483  0.82233503  0.75324675  0.88636364  0.96688742  0.90909091
  0.8         0.95495495  0.93548387  0.92682927  0.95774648  0.97297297
  0.95        1.          0.82051282  0.92682927  0.97674419  0.55172414
  0.9         1.          0.90909091  0.97959184  0.83333333  0.81481481
  0.96551724  0.48979592  0.83333333  0.82857143  0.96470588  0.95454545
  0.9         0.87179487  0.96969697  0.98734177  0.94845361  0.96470588
  0.95081967  0.73684211  0.96385542  0.40909091]

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: 88.5947046843
f1 by class: [ 0.87417219  0.82901554  0.77419355  0.9017341   0.96052632  0.93023256
  0.875       0.95495495  0.928       0.925       0.97142857  0.97297297
  0.97560976  1.          0.85        0.95238095  0.95238095  0.42857143
  0.9         1.          0.92307692  0.96        0.87719298  0.79279279
  0.92857143  0.50980392  0.81081081  0.8115942   0.96470588  0.94382022
  0.93333333  0.92682927  0.96969697  0.98734177  0.94845361  0.97674419
  0.97478992  0.72527473  0.96385542  0.41860465]

session 2 training set:

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

session 2 test set:

accuracy: 88.7983706721
f1 by class: [ 0.86842105  0.83333333  0.76623377  0.9122807   0.96688742  0.93023256
  0.875       0.94642857  0.92063492  0.93670886  0.98550725  1.
  0.97560976  1.          0.84210526  0.92682927  0.92307692  0.55172414
  0.9         0.94117647  0.90909091  1.          0.87719298  0.78899083
  0.94736842  0.59259259  0.81690141  0.82352941  0.95348837  0.95555556
  0.91525424  0.92682927  0.96969697  0.98734177  0.95833333  0.95454545
  0.97478992  0.73267327  0.97560976  0.37209302]

session 3 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 3 test set:

accuracy: 88.6625933469
f1 by class: [ 0.88590604  0.82901554  0.75949367  0.90697674  0.96688742  0.93023256
  0.8         0.95495495  0.92063492  0.91358025  0.95774648  0.97297297
  0.97560976  1.          0.85        0.95238095  0.95        0.51612903
  0.9         0.94117647  0.90909091  0.96        0.87719298  0.79245283
  0.96551724  0.53846154  0.82191781  0.81690141  0.96470588  0.95454545
  0.91525424  0.92682927  0.96969697  0.98734177  0.94845361  0.96551724
  0.97478992  0.73913043  0.95238095  0.42857143]

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: 88.6625933469
f1 by class: [ 0.89795918  0.82901554  0.75949367  0.90697674  0.96688742  0.95652174
  0.8         0.95495495  0.944       0.91358025  0.95774648  0.97297297
  0.97560976  1.          0.85714286  0.95238095  0.86486486  0.44444444
  0.9         0.94117647  0.90909091  0.96        0.89285714  0.81132075
  0.96551724  0.53846154  0.81081081  0.81690141  0.96470588  0.95454545
  0.91525424  0.92682927  0.96969697  0.98734177  0.94845361  0.93333333
  0.96666667  0.72527473  0.96385542  0.44444444]

session 5 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 5 test set:

accuracy: 88.1194840462
f1 by class: [ 0.87417219  0.83769634  0.76433121  0.90697674  0.96688742  0.93023256
  0.8         0.94642857  0.93548387  0.925       0.95774648  0.97297297
  0.97560976  1.          0.82051282  0.92682927  0.92307692  0.46666667
  0.9         0.94117647  0.90909091  0.96        0.83333333  0.79279279
  0.94736842  0.56603774  0.82191781  0.8115942   0.96470588  0.95454545
  0.91525424  0.81081081  0.96969697  0.98734177  0.92929293  0.95454545
  0.97478992  0.72340426  0.95238095  0.38095238]

session 6 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 6 test set:

accuracy: 88.7983706721
f1 by class: [ 0.87417219  0.83769634  0.77419355  0.90804598  0.96688742  0.93023256
  0.8         0.94642857  0.93548387  0.92682927  0.98591549  0.97435897
  0.97560976  1.          0.86486486  0.95238095  0.95238095  0.51612903
  0.9         1.          0.90909091  0.96        0.84745763  0.81481481
  0.92857143  0.56603774  0.8         0.8115942   0.96470588  0.95454545
  0.93333333  0.9         0.96969697  0.98734177  0.95833333  0.97674419
  0.97478992  0.70967742  0.96385542  0.38095238]

session 7 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 7 test set:

accuracy: 88.5268160217
f1 by class: [ 0.88590604  0.84536082  0.75159236  0.89772727  0.96688742  0.93023256
  0.71428571  0.94642857  0.928       0.925       0.98550725  1.
  0.97560976  1.          0.85        0.93023256  0.92307692  0.38461538
  0.9         0.94117647  0.90909091  0.98039216  0.90909091  0.8
  0.94736842  0.56        0.81081081  0.81690141  0.97619048  0.94382022
  0.91525424  0.92682927  0.96969697  0.98734177  0.95833333  0.91304348
  0.97478992  0.72527473  0.95238095  0.38095238]

session 8 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 8 test set:

accuracy: 88.5947046843
f1 by class: [ 0.87417219  0.84210526  0.76923077  0.9017341   0.96688742  0.93023256
  0.8         0.95495495  0.944       0.92682927  0.94444444  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.97560976  0.46666667
  0.9         0.94117647  0.83333333  0.96        0.87719298  0.7962963
  0.92857143  0.53846154  0.82191781  0.79452055  0.96470588  0.95454545
  0.91525424  0.92682927  0.96969697  0.98734177  0.93877551  0.97674419
  0.96610169  0.73913043  0.95238095  0.38095238]

session 9 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 9 test set:

accuracy: 88.6625933469
f1 by class: [ 0.88590604  0.83333333  0.76433121  0.9017341   0.96688742  0.90909091
  0.8         0.95495495  0.92682927  0.92682927  0.97142857  0.97297297
  0.97560976  1.          0.87179487  0.92682927  1.          0.51612903
  0.9         0.94117647  0.90909091  0.96        0.83333333  0.81132075
  0.96551724  0.53846154  0.82191781  0.80555556  0.96470588  0.94382022
  0.9         0.87179487  1.          0.98734177  0.94845361  0.97674419
  0.97478992  0.73913043  0.96385542  0.38095238]

averages over sessions
train accuracy: 99.9243986254
train f1 score: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.99767442  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.          1.        ]
test accuracy: 88.5879158181
test f1 score: [ 0.88311319  0.83389071  0.76363405  0.90305501  0.96625131  0.92863315
  0.80642857  0.9515444   0.93185507  0.92461864  0.96752175  0.97851698
  0.97304878  1.          0.84987284  0.93994544  0.94412115  0.48428     0.9
  0.95882353  0.90291375  0.9679984   0.86581776  0.80155967  0.94898885
  0.54381141  0.81703384  0.81376638  0.96473259  0.9514289   0.91581921
  0.90153762  0.97272727  0.98734177  0.94853365  0.95926676  0.97071174
  0.72958125  0.96044107  0.39775664]
