data source: ../topic-classification-data/vectors_mi
vector size: 600

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 90.1718213058
f1 by class: [ 0.84444444  0.78481013  0.82051282  0.87116564  0.97931034  1.
  0.94117647  0.97247706  0.896       1.          1.          0.97142857
  0.97435897  0.96        0.97560976  0.97777778  0.97435897  0.74074074
  1.          0.92307692  0.90909091  0.98039216  0.93103448  0.70866142
  0.98360656  0.60526316  0.89855072  0.84507042  1.          0.95454545
  0.93548387  0.95454545  0.9375      0.98701299  0.9787234   0.98850575
  0.98275862  0.85436893  1.          0.37837838]

performance on test set:

accuracy: 84.7250509165
f1 by class: [ 0.89041096  0.84916201  0.72839506  0.8875      0.99328859  0.93023256
  0.73684211  0.87719298  0.8         0.93670886  0.91666667  0.94736842
  0.97560976  1.          0.77777778  0.9047619   0.9047619   0.43478261
  0.85714286  0.4         0.28571429  0.92        0.83333333  0.61538462
  0.98305085  0.53125     0.76923077  0.74285714  0.98795181  0.91304348
  0.84745763  0.88888889  0.9375      0.98701299  0.96842105  0.93181818
  0.95726496  0.69090909  0.98765432  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92198582  0.95555556  0.89570552  0.96045198  1.          0.97777778
  0.94117647  1.          1.          0.98765432  1.          1.          1.
  1.          0.97435897  1.          1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.86206897
  0.95522388  0.95652174  1.          0.98850575  0.98305085  0.97674419
  1.          0.98701299  0.97916667  0.98850575  1.          0.91836735
  1.          0.56410256]

session 0 test set:

accuracy: 88.2552613714
f1 by class: [ 0.89932886  0.84946237  0.75949367  0.88372093  0.97368421  0.95454545
  0.875       0.92857143  0.90163934  0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.97560976  0.44444444
  0.84210526  0.4         0.6         0.96        0.98181818  0.76785714
  0.94736842  0.56140351  0.79452055  0.83333333  0.91111111  0.96703297
  0.96875     0.95        0.96969697  1.          0.96907216  0.95454545
  0.97478992  0.74        0.97560976  0.0625    ]

session 1 training set:

accuracy: 96.0824742268
f1 by class: [ 0.92198582  0.96089385  0.88888889  0.94797688  0.98666667  1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.76923077  1.          1.          1.
  1.          1.          0.89090909  1.          0.84745763  0.95522388
  0.95652174  1.          0.96629213  0.96666667  0.97674419  1.
  0.98701299  0.97916667  1.          1.          0.95744681  0.98795181
  0.55      ]

session 1 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89932886  0.84946237  0.75949367  0.88484848  0.96103896  0.93023256
  0.875       0.94444444  0.90909091  0.95        0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.5         0.9
  0.66666667  0.72727273  0.96        0.98181818  0.77477477  0.96551724
  0.54545455  0.81690141  0.82857143  0.88172043  0.96703297  0.93939394
  0.92682927  0.96969697  1.          0.95918367  0.95454545  0.98305085
  0.73267327  0.97560976  0.16666667]

session 2 training set:

accuracy: 95.7388316151
f1 by class: [ 0.92198582  0.95555556  0.8875      0.93567251  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.72        1.          1.
  0.92307692  1.          1.          0.88288288  1.          0.86666667
  0.93939394  0.94285714  1.          0.97727273  0.95081967  0.97674419
  1.          0.98701299  0.98947368  0.98850575  1.          0.89108911
  0.98795181  0.56410256]

session 2 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89333333  0.85245902  0.76433121  0.88888889  0.97368421  0.95454545
  0.875       0.93577982  0.91056911  0.95        0.94444444  0.89473684
  0.97560976  1.          0.87804878  0.95238095  0.97560976  0.55172414
  0.84210526  0.4         0.72727273  0.96        0.98181818  0.76106195
  0.94736842  0.61290323  0.81690141  0.84507042  0.91111111  0.96703297
  0.95384615  0.9047619   0.96969697  1.          0.96907216  0.95454545
  0.98305085  0.7254902   0.96385542  0.16666667]

session 3 training set:

accuracy: 95.9450171821
f1 by class: [ 0.92198582  0.95505618  0.87898089  0.96        0.99319728  1.          1.
  0.98214286  0.96825397  1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.8         1.          1.          1.
  1.          1.          0.89090909  1.          0.85245902  0.95522388
  0.95652174  1.          0.97727273  0.96666667  0.95454545  1.
  0.98701299  0.98947368  0.97777778  1.          0.94736842  0.98795181
  0.56410256]

session 3 test set:

accuracy: 88.1873727088
f1 by class: [ 0.89932886  0.84782609  0.77922078  0.88757396  0.98013245  0.95454545
  0.8         0.93693694  0.9047619   0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.95        0.44444444
  0.9         0.4         0.72727273  0.94117647  0.98181818  0.75438596
  0.94736842  0.52631579  0.80555556  0.82857143  0.91111111  0.96703297
  0.96875     0.9047619   0.96969697  0.98734177  0.95833333  0.95555556
  0.97478992  0.73267327  0.97560976  0.11764706]

session 4 training set:

accuracy: 95.8762886598
f1 by class: [ 0.92198582  0.95027624  0.88461538  0.94797688  1.          0.95652174
  0.94117647  1.          0.98387097  0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.76923077  1.          1.
  0.92307692  1.          1.          0.89908257  1.          0.84745763
  0.95522388  0.94285714  1.          0.97727273  0.96666667  0.97674419
  0.96774194  0.98701299  0.97916667  0.97727273  1.          0.94736842
  0.98795181  0.61904762]

session 4 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89932886  0.84491979  0.77922078  0.88343558  0.97368421  0.91304348
  0.875       0.93577982  0.896       0.95        0.94444444  0.87179487
  0.97560976  1.          0.85714286  0.93023256  0.97560976  0.51612903
  0.95238095  0.54545455  0.72727273  0.96        0.96428571  0.77477477
  0.96551724  0.57142857  0.78378378  0.82191781  0.92134831  0.96629213
  0.96875     0.9         0.96969697  1.          0.95918367  0.96551724
  0.97478992  0.75        0.97560976  0.11111111]

session 5 training set:

accuracy: 95.9450171821
f1 by class: [ 0.92198582  0.96089385  0.88343558  0.96        0.99328859  1.          1.
  1.          0.99173554  1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.72        1.          0.93333333
  1.          1.          1.          0.88288288  1.          0.86206897
  0.95522388  0.95652174  1.          0.96629213  0.96666667  0.95454545
  1.          0.98701299  0.96907216  0.98850575  1.          0.93617021
  0.98795181  0.56410256]

session 5 test set:

accuracy: 88.1873727088
f1 by class: [ 0.89932886  0.84946237  0.76433121  0.87272727  0.96732026  0.93023256
  0.875       0.93577982  0.90909091  0.95        0.94444444  0.89473684
  0.97560976  1.          0.85714286  0.95238095  0.95        0.5
  0.95238095  0.66666667  0.72727273  0.96        0.98181818  0.76106195
  0.94736842  0.58181818  0.77333333  0.82857143  0.89130435  0.96703297
  0.95384615  0.92682927  0.96969697  1.          0.94        0.95454545
  0.98305085  0.74747475  0.97560976  0.11764706]

session 6 training set:

accuracy: 95.8075601375
f1 by class: [ 0.92957746  0.94915254  0.88198758  0.96        1.          1.
  0.94117647  0.98214286  1.          0.98765432  1.          0.7826087   1.
  1.          0.97435897  0.97674419  1.          0.72        1.          1.
  1.          1.          1.          0.90740741  1.          0.86206897
  0.95522388  0.95652174  1.          0.98850575  0.96666667  0.97674419
  1.          0.98701299  0.98947368  0.98850575  1.          0.9375      1.
  0.56410256]

session 6 test set:

accuracy: 88.7304820095
f1 by class: [ 0.90540541  0.84782609  0.77419355  0.89285714  0.96732026  0.93023256
  0.8         0.93577982  0.91803279  0.93670886  0.94285714  0.69387755
  0.97560976  1.          0.87804878  0.95238095  0.97560976  0.51851852
  0.95238095  0.66666667  0.72727273  0.96        0.98181818  0.80373832
  0.96551724  0.61538462  0.81690141  0.86567164  0.91111111  0.95555556
  0.96875     0.9047619   1.          1.          0.96907216  0.96551724
  0.97478992  0.76        0.98765432  0.16666667]

session 7 training set:

accuracy: 95.9450171821
f1 by class: [ 0.92198582  0.95555556  0.88198758  0.96        1.          1.
  0.94117647  1.          1.          0.98765432  1.          0.97297297
  1.          1.          0.97435897  0.97674419  1.          0.76923077
  1.          1.          0.92307692  1.          1.          0.89908257
  1.          0.86206897  0.95522388  0.95652174  1.          0.96629213
  0.96666667  0.97674419  1.          0.98701299  0.98947368  0.95652174
  1.          0.94736842  0.98795181  0.52631579]

session 7 test set:

accuracy: 87.7121520706
f1 by class: [ 0.90540541  0.84042553  0.75949367  0.87951807  0.96732026  0.9047619
  0.71428571  0.92727273  0.9         0.95        0.94285714  0.87179487
  0.97560976  1.          0.85714286  0.95238095  0.95        0.5
  0.95238095  0.54545455  0.72727273  0.96        1.          0.76106195
  0.96551724  0.54545455  0.75324675  0.85294118  0.9010989   0.95652174
  0.96875     0.92682927  0.96969697  0.98734177  0.94        0.91489362
  0.97478992  0.72164948  0.97560976  0.06451613]

session 8 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92957746  0.95555556  0.87341772  0.96        1.          1.          1.
  0.94827586  1.          0.98734177  1.          1.          0.97435897
  1.          1.          0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.91588785  1.          0.84745763
  0.95522388  0.94285714  1.          0.97727273  0.96666667  0.97674419
  1.          0.98701299  0.96907216  1.          0.99145299  0.94736842
  0.98795181  0.6       ]

session 8 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89333333  0.84491979  0.78431373  0.89156627  0.96732026  0.93023256
  0.8         0.92173913  0.90909091  0.93670886  0.94444444  0.89473684
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.53333333
  0.9         0.76923077  0.72727273  0.94117647  0.96296296  0.78899083
  0.94736842  0.57142857  0.80555556  0.83333333  0.92134831  0.96703297
  0.96875     0.92682927  0.96969697  0.975       0.94        0.96551724
  0.96551724  0.74747475  0.97560976  0.11111111]

session 9 training set:

accuracy: 95.8762886598
f1 by class: [ 0.92198582  0.95027624  0.90243902  0.94186047  0.99328859  1.
  0.94117647  0.99099099  1.          0.98765432  1.          1.          1.
  1.          0.97435897  1.          1.          0.66666667  1.          1.
  1.          1.          1.          0.89908257  1.          0.86206897
  0.95522388  0.94285714  1.          0.98850575  0.96666667  0.97674419
  1.          0.98701299  0.98947368  0.98876404  1.          0.93617021
  0.98795181  0.48648649]

session 9 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89932886  0.83597884  0.7672956   0.88343558  0.97368421  0.93333333
  0.875       0.93693694  0.90909091  0.95        0.94444444  0.94444444
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.54545455
  0.95238095  0.54545455  0.72727273  0.96        1.          0.77477477
  0.94736842  0.56140351  0.77333333  0.86956522  0.91111111  0.95652174
  0.95384615  0.9047619   0.96969697  1.          0.96907216  0.96629213
  0.97478992  0.71578947  0.97560976  0.        ]

averages over sessions
train accuracy: 95.9450171821
train f1 score: [ 0.92350415  0.95487711  0.88589582  0.95339387  0.99664411  0.99342995
  0.97058824  0.98945436  0.99438605  0.99256134  1.          0.97555817
  0.9974359   1.          0.98717949  0.98604651  1.          0.7534359   1.
  0.99333333  0.97692308  1.          1.          0.8959036   1.
  0.85718434  0.95364089  0.9510559   1.          0.97734846  0.96672039
  0.97230444  0.99677419  0.98701299  0.98230128  0.98543593  0.9991453
  0.93662174  0.99036145  0.56023627]
test accuracy: 88.2824168364
test f1 score: [ 0.89934506  0.84627422  0.76913879  0.88485722  0.97051893  0.93357053
  0.83642857  0.93390209  0.90673668  0.94734177  0.94412698  0.8822879
  0.97560976  1.          0.85534398  0.95016611  0.96792683  0.50540485
  0.91461153  0.56055944  0.71454545  0.95623529  0.98181578  0.77224824
  0.95462795  0.56929951  0.79400331  0.84075472  0.90723759  0.9637089
  0.96134324  0.91763647  0.97272727  0.99496835  0.95729893  0.95514748
  0.97634093  0.73732252  0.97563878  0.10845325]
