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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 83.2302405498
f1 by class: [ 0.75324675  0.81564246  0.74157303  0.8372093   0.96598639  0.81081081
  0.          0.9137931   0.82089552  0.96385542  0.97058824  0.90909091
  0.94444444  0.58823529  0.75        0.84210526  0.94736842  0.13333333
  0.33333333  0.          0.          0.93877551  0.94339623  0.6
  0.94736842  0.69090909  0.77966102  0.8125      0.95121951  0.91764706
  0.92857143  0.84210526  0.76923077  0.98701299  0.97916667  0.97727273
  0.92063492  0.6875      1.          0.        ]

performance on test set:

accuracy: 75.8316361168
f1 by class: [ 0.75581395  0.79381443  0.64285714  0.82485876  0.98684211  0.68571429
  0.          0.832       0.66153846  0.83333333  0.90410959  0.68965517
  0.89473684  0.28571429  0.51851852  0.48275862  0.72727273  0.          0.
  0.          0.          0.8372093   0.84        0.5398773   0.92857143
  0.38095238  0.6122449   0.70175439  0.92134831  0.86746988  0.87272727
  0.8         0.21052632  0.98701299  0.9         0.86597938  0.90625
  0.61764706  0.98765432  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 96.4261168385
f1 by class: [ 0.92198582  0.95555556  0.89570552  0.96629213  1.          1.
  0.94117647  1.          1.          0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.8         1.          1.
  1.          1.          1.          0.89908257  1.          0.86206897
  0.97058824  0.95652174  1.          0.98850575  0.96666667  0.97674419
  1.          0.98701299  0.97916667  0.98850575  1.          0.9375      1.
  0.56410256]

session 0 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89333333  0.85405405  0.77922078  0.87719298  0.97368421  0.95454545
  0.875       0.92857143  0.91056911  0.95        0.94444444  0.91891892
  0.97560976  1.          0.85714286  0.95238095  1.          0.51851852
  0.84210526  0.4         0.72727273  0.96        0.98181818  0.76106195
  0.94736842  0.53571429  0.80555556  0.83333333  0.91111111  0.96703297
  0.93939394  0.95        0.96969697  1.          0.94949495  0.96551724
  0.97435897  0.73267327  0.97560976  0.06060606]

session 1 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92198582  0.96089385  0.88198758  0.95402299  0.99328859  1.          1.
  1.          1.          1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.8         1.          1.
  0.92307692  1.          1.          0.90740741  1.          0.84745763
  0.97058824  0.95652174  1.          0.95555556  0.96666667  0.97674419
  1.          0.98701299  0.97916667  1.          1.          0.94736842
  0.98795181  0.58536585]

session 1 test set:

accuracy: 88.3231500339
f1 by class: [ 0.89333333  0.85405405  0.76923077  0.88343558  0.96732026  0.93023256
  0.875       0.93577982  0.90909091  0.95        0.94444444  0.89473684
  0.97560976  1.          0.87804878  0.95238095  1.          0.48275862
  0.95238095  0.66666667  0.72727273  0.96        0.98181818  0.77477477
  0.94736842  0.54545455  0.80555556  0.82857143  0.87234043  0.96703297
  0.96875     0.9047619   0.96969697  1.          0.95918367  0.96551724
  0.98305085  0.74        0.97560976  0.15      ]

session 2 training set:

accuracy: 95.9450171821
f1 by class: [ 0.92198582  0.95555556  0.88888889  0.95402299  1.          1.
  0.94117647  1.          1.          0.98765432  1.          1.          1.
  1.          1.          0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.84745763
  0.93939394  0.95652174  1.          0.97727273  0.96666667  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  0.84782609  0.76433121  0.88888889  0.97368421  0.95454545
  0.875       0.93577982  0.91056911  0.95        0.95774648  0.89473684
  0.97560976  1.          0.9047619   0.95238095  0.97560976  0.6
  0.84210526  0.4         0.72727273  0.96        0.98181818  0.76106195
  0.94736842  0.6         0.80555556  0.84507042  0.91111111  0.96703297
  0.95384615  0.9047619   0.96969697  1.          0.96907216  0.95454545
  0.98305085  0.7184466   0.97560976  0.11428571]

session 3 training set:

accuracy: 96.0824742268
f1 by class: [ 0.92198582  0.95555556  0.88607595  0.96590909  1.          1.
  0.94117647  0.98214286  0.98387097  0.98765432  1.          1.          1.
  1.          0.97435897  0.97674419  1.          0.8         1.          1.
  1.          1.          1.          0.89908257  1.          0.86666667
  0.95522388  0.95652174  1.          0.98850575  0.96666667  0.97674419
  1.          0.98701299  0.98947368  0.96703297  1.          0.9375
  0.98795181  0.56410256]

session 3 test set:

accuracy: 88.2552613714
f1 by class: [ 0.89932886  0.84153005  0.77922078  0.89940828  0.98013245  0.95454545
  0.8         0.93693694  0.8976378   0.95        0.95774648  0.91891892
  0.97560976  1.          0.85714286  0.95238095  0.95        0.51851852
  0.9         0.4         0.72727273  0.94117647  1.          0.75438596
  0.94736842  0.51724138  0.80555556  0.82857143  0.91111111  0.96703297
  0.95384615  0.9047619   0.96969697  1.          0.96907216  0.94505495
  0.97478992  0.73267327  0.97560976  0.06060606]

session 4 training set:

accuracy: 96.0137457045
f1 by class: [ 0.92198582  0.95027624  0.88607595  0.94797688  1.          1.
  0.94117647  1.          0.98387097  0.98765432  1.          1.          1.
  1.          0.97435897  1.          1.          0.8         1.          1.
  1.          1.          1.          0.89090909  1.          0.86206897
  0.95522388  0.94285714  1.          0.98850575  0.95081967  0.97674419
  1.          0.98701299  0.97916667  0.98876404  1.          0.9375      1.
  0.60465116]

session 4 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89932886  0.84946237  0.77419355  0.88343558  0.97368421  0.91304348
  0.875       0.93577982  0.896       0.95        0.94444444  0.87179487
  0.97560976  1.          0.85714286  0.95238095  0.97560976  0.58064516
  0.95238095  0.66666667  0.72727273  0.96        0.96428571  0.78181818
  0.96551724  0.57142857  0.80555556  0.81081081  0.92134831  0.95555556
  0.95384615  0.9         0.9375      1.          0.95918367  0.96551724
  0.97478992  0.75        0.97560976  0.16216216]

session 5 training set:

accuracy: 96.2199312715
f1 by class: [ 0.92198582  0.96089385  0.88888889  0.96        0.99328859  1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.8         1.          1.
  0.92307692  1.          1.          0.88288288  1.          0.86206897
  0.95522388  0.95652174  1.          0.97727273  0.98305085  0.97674419
  1.          0.98701299  0.97916667  1.          1.          0.9375
  0.98795181  0.56410256]

session 5 test set:

accuracy: 88.3231500339
f1 by class: [ 0.90540541  0.85405405  0.76923077  0.88622754  0.96732026  0.93023256
  0.82352941  0.93577982  0.90909091  0.95        0.94444444  0.89473684
  0.97560976  1.          0.85714286  0.95238095  0.95        0.55172414
  0.95238095  0.54545455  0.72727273  0.96        0.98181818  0.76106195
  0.96551724  0.60377358  0.77333333  0.82857143  0.89130435  0.96703297
  0.95384615  0.9047619   0.96969697  1.          0.94949495  0.95454545
  0.97478992  0.73469388  0.97560976  0.11428571]

session 6 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.95505618  0.89440994  0.96590909  1.          1.          1.
  0.98214286  1.          1.          1.          0.8372093   1.          1.
  0.97435897  0.97674419  1.          0.75        1.          1.          1.
  1.          1.          0.90740741  1.          0.88135593  0.95522388
  0.95652174  1.          0.98850575  0.96666667  0.97674419  1.
  0.98701299  0.97916667  0.98850575  1.          0.9375      1.          0.6       ]

session 6 test set:

accuracy: 88.4589273591
f1 by class: [ 0.89333333  0.84153005  0.78431373  0.89156627  0.96732026  0.93023256
  0.8         0.93577982  0.90909091  0.93670886  0.95652174  0.64150943
  0.97560976  1.          0.89473684  0.95238095  0.97560976  0.6         0.9
  0.66666667  0.72727273  0.96        1.          0.78846154  0.96551724
  0.62686567  0.82191781  0.85294118  0.91111111  0.95555556  0.98412698
  0.9047619   1.          1.          0.94949495  0.97727273  0.97478992
  0.74        0.98765432  0.11428571]

session 7 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.95555556  0.89570552  0.96        1.          1.
  0.94117647  1.          1.          0.98765432  1.          0.97297297
  1.          1.          0.97435897  0.97674419  1.          0.8         1.
  1.          0.92307692  1.          1.          0.89908257  1.
  0.86206897  0.95522388  0.95652174  1.          0.97727273  0.96666667
  0.97674419  1.          0.98701299  0.97916667  0.97777778  1.
  0.94736842  0.98795181  0.56410256]

session 7 test set:

accuracy: 87.7800407332
f1 by class: [ 0.90540541  0.84042553  0.75949367  0.89285714  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  0.94117647  1.          0.76106195
  0.94915254  0.54545455  0.77333333  0.85294118  0.9010989   0.95652174
  0.95384615  0.9         0.96969697  0.98734177  0.94949495  0.91489362
  0.97478992  0.74226804  0.97560976  0.        ]

session 8 training set:

accuracy: 96.1512027491
f1 by class: [ 0.92198582  0.95555556  0.89308176  0.96590909  1.          1.          1.
  0.95652174  1.          0.98734177  1.          1.          0.97435897
  1.          0.97435897  0.97674419  1.          0.76923077  1.          1.
  1.          1.          1.          0.9245283   1.          0.86666667
  0.95522388  0.95652174  1.          0.97727273  0.98305085  0.97674419
  1.          0.98701299  0.96907216  1.          0.99145299  0.92783505
  0.98795181  0.6       ]

session 8 test set:

accuracy: 88.3910386965
f1 by class: [ 0.89333333  0.84946237  0.77922078  0.88484848  0.96732026  0.93023256
  0.875       0.92982456  0.91666667  0.93670886  0.94444444  0.91891892
  0.97560976  1.          0.8372093   0.95238095  0.95        0.58064516
  0.9         0.76923077  0.72727273  0.96        0.96296296  0.78899083
  0.94736842  0.57627119  0.82857143  0.83333333  0.91111111  0.96703297
  0.95384615  0.9047619   0.96969697  0.98734177  0.94        0.95454545
  0.96551724  0.74747475  0.97560976  0.11111111]

session 9 training set:

accuracy: 96.0824742268
f1 by class: [ 0.92198582  0.95027624  0.90243902  0.94797688  0.99328859  1.          1.
  0.98214286  1.          1.          1.          1.          1.          1.
  0.97435897  1.          1.          0.68965517  1.          1.          1.
  1.          1.          0.90740741  1.          0.86206897  0.95522388
  0.95652174  1.          0.98850575  0.96666667  0.97674419  1.
  0.98701299  0.97916667  1.          1.          0.93617021  0.98795181
  0.52631579]

session 9 test set:

accuracy: 88.3231500339
f1 by class: [ 0.90540541  0.83157895  0.7672956   0.88888889  0.97368421  0.93333333
  0.875       0.93693694  0.9         0.95        0.94444444  0.94444444
  0.97560976  1.          0.81818182  0.95238095  1.          0.51612903
  0.95238095  0.54545455  0.72727273  0.96        1.          0.77477477
  0.96551724  0.5862069   0.77333333  0.84848485  0.9010989   0.95652174
  0.95384615  0.9047619   0.96969697  1.          0.95918367  0.97727273
  0.97478992  0.72164948  0.96385542  0.        ]

averages over sessions
train accuracy: 96.1443298969
train f1 score: [ 0.92198582  0.95551742  0.8913259   0.95880191  0.99798658  1.
  0.97058824  0.98939413  0.99677419  0.99256134  1.          0.98101823
  0.9974359   1.          0.97948718  0.98837209  1.          0.78088859
  1.          1.          0.97692308  1.          1.          0.90086993
  1.          0.86199493  0.95671376  0.95515528  1.          0.98071752
  0.9683588   0.97674419  1.          0.98701299  0.98021862  0.9899092
  0.9991453   0.93373312  0.99156627  0.57368456]
test accuracy: 88.3095723014
test f1 score: [ 0.89815406  0.84639776  0.77257516  0.88767496  0.97114706  0.93357053
  0.83878151  0.93384417  0.90587154  0.94734177  0.94815385  0.87705109
  0.97560976  1.          0.86186529  0.95238095  0.97268293  0.54489392
  0.91461153  0.56055944  0.72727273  0.95623529  0.98545214  0.77074538
  0.95480636  0.57084107  0.7998267   0.83626294  0.90427464  0.96263524
  0.9569194   0.90833333  0.96950758  0.99746835  0.95536751  0.95746821
  0.97547174  0.73598793  0.97563878  0.08873425]
