data source: ../topic-classification-data/vectors_tf_idf
vector size: 4000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 94.0206185567
f1 by class: [ 0.88235294  0.85365854  0.88157895  0.87804878  0.98630137  1.
  0.94117647  0.99082569  0.98360656  0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.74074074  1.          1.
  0.8         1.          0.96428571  0.80672269  1.          0.71232877
  0.98550725  0.92957746  1.          0.98850575  0.98305085  0.97674419
  1.          0.98701299  0.96907216  1.          0.99145299  0.89320388
  1.          0.82352941]

performance on test set:

accuracy: 83.0957230143
f1 by class: [ 0.84563758  0.81283422  0.725       0.85542169  0.99328859  0.9047619
  0.2         0.92035398  0.83606557  0.85714286  0.94444444  0.88235294
  0.97560976  0.90909091  0.64516129  0.7         0.78947368  0.31578947
  0.84210526  0.4         0.          0.95833333  0.81967213  0.70149254
  0.90909091  0.57142857  0.76190476  0.6984127   0.97619048  0.90322581
  0.84210526  0.81818182  0.82758621  0.97435897  0.92929293  0.86315789
  0.95867769  0.67226891  0.96385542  0.37209302]

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: 88.5268160217
f1 by class: [ 0.88        0.81818182  0.74683544  0.88636364  0.96688742  0.93023256
  0.8         0.94642857  0.93548387  0.9382716   0.97142857  0.97297297
  0.97560976  1.          0.87179487  0.92682927  0.95238095  0.55172414
  0.9         1.          0.90909091  1.          0.83333333  0.82352941
  0.92857143  0.53061224  0.81081081  0.82857143  0.96470588  0.95454545
  0.93333333  0.9         0.96969697  0.98734177  0.94845361  0.97674419
  0.96666667  0.7032967   0.96385542  0.44444444]

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: 88.4589273591
f1 by class: [ 0.88157895  0.82901554  0.75324675  0.89772727  0.96688742  0.93023256
  0.8         0.95495495  0.92682927  0.92682927  0.97142857  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.97674419  0.48275862
  0.9         1.          0.90909091  0.98039216  0.83333333  0.82692308
  0.94736842  0.53846154  0.81081081  0.7826087   0.96470588  0.95555556
  0.91803279  0.87179487  0.96969697  0.98734177  0.94845361  0.97674419
  0.95867769  0.7173913   0.97560976  0.33333333]

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: 88.5947046843
f1 by class: [ 0.86842105  0.83076923  0.76623377  0.90588235  0.96688742  0.9047619
  0.8         0.94642857  0.93548387  0.925       0.98550725  0.97297297
  0.97560976  1.          0.84210526  0.92682927  0.97560976  0.48275862
  0.9         0.94117647  1.          1.          0.84745763  0.8
  0.92857143  0.54901961  0.82857143  0.82352941  0.96470588  0.95555556
  0.91525424  0.9         0.96969697  0.98734177  0.94845361  0.96551724
  0.97478992  0.73786408  0.97560976  0.36363636]

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: 88.2552613714
f1 by class: [ 0.89795918  0.81865285  0.75159236  0.89265537  0.96688742  0.93023256
  0.875       0.94642857  0.91935484  0.93670886  0.95774648  0.97297297
  0.97560976  1.          0.82926829  0.95238095  0.95        0.44444444
  0.9         0.94117647  0.90909091  0.96        0.86206897  0.82242991
  0.96551724  0.52830189  0.81081081  0.8         0.96470588  0.95454545
  0.91525424  0.9         0.9375      0.98734177  0.94845361  0.95454545
  0.96666667  0.72527473  0.95238095  0.37209302]

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: 88.5268160217
f1 by class: [ 0.89795918  0.81218274  0.75641026  0.89655172  0.96688742  0.93333333
  0.8         0.94642857  0.93548387  0.9382716   0.97142857  0.97297297
  0.97560976  1.          0.85        0.92682927  0.92307692  0.5         0.9
  0.94117647  0.8         0.98039216  0.84745763  0.83809524  0.96551724
  0.48        0.81081081  0.81690141  0.96470588  0.95555556  0.91525424
  0.92682927  0.96969697  0.98734177  0.94845361  0.95454545  0.96666667
  0.72527473  0.97560976  0.40909091]

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: 88.2552613714
f1 by class: [ 0.88741722  0.82901554  0.75471698  0.90697674  0.96688742  0.93023256
  0.8         0.94642857  0.93548387  0.9382716   0.95774648  0.97297297
  0.97560976  1.          0.82051282  0.92682927  0.86486486  0.48275862
  0.9         0.94117647  0.90909091  0.96        0.83333333  0.83333333
  0.94736842  0.53846154  0.81081081  0.8115942   0.96470588  0.95454545
  0.91525424  0.87179487  0.96969697  0.98734177  0.94845361  0.93333333
  0.97478992  0.7311828   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: 88.8662593347
f1 by class: [ 0.90410959  0.82901554  0.76623377  0.90697674  0.96688742  0.93023256
  0.8         0.95495495  0.944       0.92682927  0.97142857  0.92307692
  0.97560976  1.          0.84210526  0.95238095  1.          0.4516129
  0.9         0.94117647  0.90909091  0.98039216  0.84745763  0.82242991
  0.92857143  0.53846154  0.81081081  0.83333333  0.96470588  0.95454545
  0.93333333  0.9         0.96969697  0.98734177  0.95918367  0.97674419
  0.96666667  0.7173913   0.96385542  0.40909091]

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: [ 0.89795918  0.82233503  0.76129032  0.90909091  0.96688742  0.93023256
  0.71428571  0.94642857  0.93548387  0.9382716   0.95774648  0.97297297
  0.97560976  1.          0.87179487  0.93023256  0.95        0.44444444
  0.9         0.94117647  1.          0.96        0.89285714  0.81481481
  0.96551724  0.48979592  0.81081081  0.8         0.97619048  0.95454545
  0.91525424  0.9047619   0.96969697  0.98734177  0.94845361  0.93333333
  0.96666667  0.72527473  0.95238095  0.37209302]

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: 88.4589273591
f1 by class: [ 0.88        0.84656085  0.75159236  0.90285714  0.96688742  0.93023256
  0.8         0.96428571  0.92682927  0.92682927  0.95774648  0.97297297
  0.97560976  1.          0.84210526  0.95238095  0.97560976  0.4375      0.9
  0.94117647  0.8         0.96        0.86206897  0.80733945  0.94736842
  0.53846154  0.81081081  0.78873239  0.96470588  0.96629213  0.91525424
  0.9         0.96969697  0.98734177  0.94845361  0.97674419  0.97478992
  0.7173913   0.96385542  0.37209302]

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: 88.7983706721
f1 by class: [ 0.89189189  0.82474227  0.75159236  0.90697674  0.96688742  0.90909091
  0.8         0.94642857  0.944       0.9382716   0.95774648  0.97297297
  0.97560976  1.          0.87179487  0.95238095  1.          0.55172414
  0.9         0.94117647  0.90909091  0.96        0.84745763  0.82242991
  0.94736842  0.53846154  0.83333333  0.81690141  0.95348837  0.96629213
  0.91525424  0.84210526  0.96969697  0.98734177  0.94845361  0.97674419
  0.97478992  0.75268817  0.95238095  0.37209302]

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: 88.5268160217
test f1 score: [ 0.88872963  0.82604714  0.75597444  0.90120586  0.96688742  0.92588141
  0.79892857  0.94991956  0.93384327  0.93335547  0.96599539  0.96798337
  0.97560976  1.          0.85132764  0.93994544  0.95682864  0.48297259
  0.9         0.95294118  0.90545455  0.97411765  0.85068256  0.8211325
  0.94717397  0.52700374  0.81483912  0.81021723  0.96473259  0.95719782
  0.91914791  0.89172862  0.96647727  0.98734177  0.94952661  0.96249957
  0.96911707  0.72530298  0.96279193  0.38289204]
