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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 85.704467354
f1 by class: [ 0.80555556  0.81395349  0.75862069  0.84705882  0.97260274  0.84210526
  0.2         0.93103448  0.82352941  0.96385542  0.98550725  0.97142857
  0.97297297  0.8         0.88888889  0.84210526  0.94736842  0.23529412
  0.75        0.          0.          0.93877551  0.92592593  0.64383562
  1.          0.65625     0.8125      0.86153846  0.97560976  0.91764706
  0.94736842  0.9         0.81481481  0.98701299  0.97916667  0.97727273
  0.95081967  0.77192982  1.          0.13333333]

performance on test set:

accuracy: 78.6150712831
f1 by class: [ 0.81761006  0.81481481  0.65957447  0.84210526  0.98684211  0.75675676
  0.          0.832       0.6875      0.85714286  0.90140845  0.73333333
  0.89473684  0.8         0.62068966  0.70588235  0.86486486  0.          0.
  0.          0.          0.89361702  0.90566038  0.55555556  0.94736842
  0.4         0.69230769  0.71186441  0.94252874  0.88636364  0.84210526
  0.86486486  0.52173913  0.98701299  0.91836735  0.89361702  0.928
  0.63636364  0.98765432  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 96.2886597938
f1 by class: [ 0.92198582  0.95555556  0.89570552  0.97175141  1.          1.
  0.94117647  0.99099099  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: [ 0.89333333  0.84946237  0.76433121  0.87719298  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  0.51851852
  0.84210526  0.54545455  0.6         0.96        0.98181818  0.76785714
  0.94736842  0.53571429  0.79452055  0.83333333  0.91111111  0.96703297
  0.96875     0.95        0.96969697  1.          0.94949495  0.96551724
  0.97435897  0.74        0.97560976  0.11764706]

session 1 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.96089385  0.89570552  0.95402299  0.99328859  1.
  0.94117647  1.          1.          0.98765432  1.          1.          1.
  1.          0.97435897  1.          1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.84745763
  0.95522388  0.95652174  1.          0.97727273  0.95081967  0.97674419
  1.          0.98701299  0.97916667  1.          1.          0.94736842
  0.98795181  0.55      ]

session 1 test set:

accuracy: 88.2552613714
f1 by class: [ 0.89333333  0.84946237  0.76433121  0.88343558  0.96732026  0.93023256
  0.875       0.94444444  0.90163934  0.95        0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.5
  0.95238095  0.66666667  0.72727273  0.96        0.98181818  0.77477477
  0.94736842  0.54545455  0.81690141  0.82857143  0.88172043  0.96703297
  0.93939394  0.9047619   0.96969697  1.          0.95918367  0.96551724
  0.98305085  0.74        0.97560976  0.15384615]

session 2 training set:

accuracy: 95.8762886598
f1 by class: [ 0.92198582  0.95555556  0.88198758  0.95402299  1.          1.
  0.94117647  0.99099099  1.          0.98765432  1.          1.          1.
  1.          1.          0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.88288288  1.          0.84745763
  0.93939394  0.95652174  1.          0.97727273  0.95081967  0.97674419
  1.          0.98701299  0.98947368  0.98850575  1.          0.9         1.
  0.56410256]

session 2 test set:

accuracy: 88.5947046843
f1 by class: [ 0.89333333  0.84324324  0.7672956   0.88888889  0.97368421  0.95454545
  0.875       0.94545455  0.91056911  0.95        0.94444444  0.91891892
  0.97560976  1.          0.9047619   0.95238095  0.97560976  0.55172414
  0.84210526  0.4         0.72727273  0.96        0.98181818  0.76785714
  0.94736842  0.62295082  0.80555556  0.85714286  0.91111111  0.96703297
  0.95384615  0.92682927  0.96969697  1.          0.96907216  0.95454545
  0.98305085  0.7254902   0.97560976  0.11428571]

session 3 training set:

accuracy: 96.0824742268
f1 by class: [ 0.92198582  0.96089385  0.8875      0.96        1.          1.
  0.94117647  0.98214286  1.          0.98765432  1.          1.          1.
  1.          0.97435897  0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.86666667
  0.95522388  0.95652174  1.          0.98850575  0.96666667  0.95454545
  1.          0.98701299  0.98947368  0.96703297  1.          0.9375
  0.98795181  0.56410256]

session 3 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89932886  0.84782609  0.77419355  0.89285714  0.98013245  0.95454545
  0.875       0.93693694  0.896       0.95        0.94444444  0.91891892
  0.97560976  1.          0.87804878  0.95238095  0.95        0.5         0.9
  0.4         0.72727273  0.94117647  1.          0.75438596  0.94736842
  0.55172414  0.80555556  0.82857143  0.91111111  0.96703297  0.95384615
  0.9047619   0.96969697  1.          0.96907216  0.95555556  0.97478992
  0.73267327  0.97560976  0.06060606]

session 4 training set:

accuracy: 95.7388316151
f1 by class: [ 0.92198582  0.95027624  0.87012987  0.94252874  1.          0.95652174
  0.94117647  1.          0.99186992  0.97560976  1.          1.          1.
  1.          0.97435897  1.          1.          0.8         1.
  0.93333333  0.92307692  1.          1.          0.89090909  1.
  0.86206897  0.95522388  0.94285714  1.          0.97727273  0.96666667
  0.97674419  0.96774194  0.98701299  0.97916667  0.98876404  1.          0.9375
  1.          0.60465116]

session 4 test set:

accuracy: 88.6625933469
f1 by class: [ 0.89932886  0.84946237  0.77922078  0.8902439   0.97368421  0.89361702
  0.8         0.93577982  0.90322581  0.95        0.94444444  0.89473684
  0.97560976  1.          0.85714286  0.93023256  0.97560976  0.58064516
  0.95238095  0.54545455  0.72727273  0.96        0.98181818  0.76785714
  0.96551724  0.57142857  0.82857143  0.82666667  0.92134831  0.96629213
  0.93939394  0.92682927  0.96969697  1.          0.95918367  0.96551724
  0.97478992  0.7628866   0.97560976  0.16666667]

session 5 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.96089385  0.88343558  0.96        1.          1.          1.
  1.          1.          1.          1.          0.97297297  1.          1.
  0.97435897  1.          1.          0.74074074  1.          1.
  0.92307692  1.          1.          0.89090909  1.          0.86206897
  0.95522388  0.95652174  1.          0.97727273  0.96666667  0.95454545
  1.          0.98701299  0.97916667  0.98850575  1.          0.94736842
  1.          0.56410256]

session 5 test set:

accuracy: 88.3910386965
f1 by class: [ 0.91156463  0.85405405  0.77922078  0.88484848  0.96732026  0.90909091
  0.82352941  0.94545455  0.90909091  0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.95        0.53333333
  0.95238095  0.4         0.72727273  0.96        0.98181818  0.77192982
  0.96551724  0.56603774  0.78378378  0.81690141  0.89130435  0.96703297
  0.96875     0.9047619   0.96969697  1.          0.94949495  0.94382022
  0.97478992  0.74747475  0.97560976  0.16216216]

session 6 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92957746  0.94915254  0.89440994  0.96590909  1.          1.          1.
  0.98214286  1.          1.          1.          0.81818182  1.          1.
  0.97435897  0.97674419  1.          0.75        1.          1.          1.
  1.          1.          0.91588785  1.          0.88135593  0.95522388
  0.95652174  1.          0.98850575  0.96666667  0.97674419  1.
  0.98701299  0.98947368  0.98850575  1.          0.9375      1.
  0.63414634]

session 6 test set:

accuracy: 88.5947046843
f1 by class: [ 0.90540541  0.84782609  0.77922078  0.88622754  0.96732026  0.93023256
  0.8         0.93577982  0.91803279  0.95        0.95652174  0.68
  0.97560976  1.          0.87804878  0.95238095  0.97560976  0.5         0.9
  0.66666667  0.72727273  0.96        0.98181818  0.80373832  0.96551724
  0.625       0.82191781  0.85294118  0.91111111  0.95555556  0.98412698
  0.9047619   1.          1.          0.96907216  0.96551724  0.97478992
  0.74        0.98765432  0.11111111]

session 7 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92198582  0.95555556  0.88888889  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  0.97916667  0.97777778
  1.          0.94736842  0.98795181  0.52631579]

session 7 test set:

accuracy: 88.1194840462
f1 by class: [ 0.90540541  0.84042553  0.76923077  0.89940828  0.96732026  0.9047619
  0.71428571  0.92727273  0.9         0.95        0.97142857  0.87179487
  0.97560976  1.          0.85714286  0.95238095  0.95        0.48275862
  0.95238095  0.54545455  0.72727273  0.96        1.          0.76785714
  0.96666667  0.53571429  0.78947368  0.85714286  0.9010989   0.95652174
  0.98412698  0.9         0.96969697  0.98734177  0.94949495  0.91489362
  0.97478992  0.73684211  0.97560976  0.06451613]

session 8 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92957746  0.95555556  0.8875      0.96590909  1.          1.          1.
  0.95652174  1.          0.98734177  1.          1.          0.97435897
  1.          1.          0.97674419  1.          0.76923077  1.          1.
  1.          1.          1.          0.93333333  1.          0.84745763
  0.95522388  0.95652174  1.          0.97727273  0.98305085  0.97674419
  1.          0.98701299  0.96907216  1.          0.99145299  0.9375
  0.98795181  0.6       ]

session 8 test set:

accuracy: 88.1873727088
f1 by class: [ 0.89333333  0.84042553  0.77922078  0.88484848  0.96732026  0.93023256
  0.875       0.92035398  0.90909091  0.93670886  0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.97560976  0.5625      0.9
  0.66666667  0.72727273  0.96        0.96296296  0.78899083  0.94736842
  0.56140351  0.80555556  0.85714286  0.91111111  0.96703297  0.96875
  0.9047619   0.96969697  0.98734177  0.94        0.95454545  0.96551724
  0.74        0.97560976  0.05714286]

session 9 training set:

accuracy: 96.0824742268
f1 by class: [ 0.91428571  0.95027624  0.90123457  0.94797688  1.          1.          1.
  0.98214286  1.          1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.68965517  1.          1.          1.
  1.          1.          0.89090909  1.          0.86206897  0.95522388
  0.95652174  1.          0.98850575  0.96666667  0.97674419  1.
  0.98701299  0.97916667  1.          1.          0.94736842  0.98795181
  0.56410256]

session 9 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89932886  0.83597884  0.77987421  0.88888889  0.97368421  0.93333333
  0.82352941  0.93693694  0.9         0.95        0.94444444  0.94444444
  0.97560976  1.          0.81818182  0.95238095  0.97560976  0.54545455
  0.95238095  0.4         0.72727273  0.96        1.          0.77477477
  0.96551724  0.5862069   0.79452055  0.86567164  0.91111111  0.95652174
  0.95384615  0.9047619   0.96969697  1.          0.95918367  0.96629213
  0.98305085  0.73469388  0.97560976  0.        ]

averages over sessions
train accuracy: 96.0824742268
train f1 score: [ 0.92273414  0.95546088  0.88864975  0.95821212  0.99932886  0.99565217
  0.96470588  0.98849323  0.99918699  0.99012231  1.          0.97641278
  0.9974359   1.          0.97948718  0.98837209  1.          0.77188575
  1.          0.99333333  0.97692308  1.          1.          0.89766412
  1.          0.86007403  0.95364089  0.95515528  1.          0.98066788
  0.9667741   0.97230444  0.99677419  0.98701299  0.98124932  0.98875978
  0.9991453   0.9357841   0.9939759   0.57356261]
test accuracy: 88.3842498303
test f1 score: [ 0.89936953  0.84581665  0.77361397  0.88768402  0.97114706  0.92951372
  0.83363445  0.93569852  0.90492882  0.94867089  0.94835059  0.89044897
  0.97560976  1.          0.85820313  0.95016611  0.96792683  0.52749343
  0.91461153  0.52363636  0.71454545  0.95811765  0.98538721  0.77400231
  0.95655777  0.57016348  0.80463559  0.84240857  0.90621387  0.9637089
  0.96148303  0.913223    0.97272727  0.99746835  0.95732524  0.95517214
  0.97629783  0.74000608  0.97681421  0.10079839]
