data source: ../topic-classification-data/vectors_x2
vector size: 2000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 48.0412371134
f1 by class: [ 0.61702128  0.74853801  0.20857143  0.83529412  0.95833333  0.53333333
  0.          0.17391304  0.1884058   0.04878049  0.          0.5         0.
  0.15384615  0.          0.77777778  0.70967742  0.          0.18181818
  0.          0.          0.33333333  0.51282051  0.04        0.37837838
  0.          0.          0.40909091  0.93670886  0.          0.33333333
  0.          0.          0.94736842  0.66666667  0.87755102  0.928
  0.53061224  0.98795181  0.        ]

performance on test set:

accuracy: 48.3367277665
f1 by class: [ 0.65656566  0.8042328   0.21264368  0.87116564  0.97402597  0.2962963   0.
  0.16901408  0.01515152  0.          0.          0.34782609  0.
  0.15384615  0.          0.74285714  0.55172414  0.          0.          0.
  0.          0.4375      0.65        0.          0.28571429  0.          0.
  0.56        0.9047619   0.          0.41025641  0.          0.
  0.91891892  0.76923077  0.82        0.91666667  0.6122449   0.96296296
  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 53.1271477663
f1 by class: [ 0.74509804  0.7804878   0.68789809  0.80681818  0.95774648  0.66666667
  0.          0.          0.16666667  0.          0.          0.875       0.
  0.95652174  0.          0.81081081  0.8372093   0.          0.75        0.
  0.          0.33333333  0.69565217  0.          0.53658537  0.          0.
  0.70769231  0.89473684  0.          0.60465116  0.38461538  0.          0.8974359
  0.36065574  0.84210526  0.97478992  0.55319149  0.975       0.        ]

session 0 test set:

accuracy: 55.6687033265
f1 by class: [ 0.77987421  0.84916201  0.65789474  0.8502994   0.96598639  0.68571429
  0.          0.          0.18145957  0.          0.          0.77419355
  0.          0.95652174  0.          0.95238095  0.7826087   0.
  0.53333333  0.          0.          0.64864865  0.7826087   0.
  0.66666667  0.          0.          0.72727273  0.90697674  0.
  0.65217391  0.44444444  0.          0.91358025  0.39662447  0.73972603
  0.96551724  0.67368421  0.975       0.        ]

session 1 training set:

accuracy: 58.5567010309
f1 by class: [ 0.7483871   0.74285714  0.67039106  0.85365854  0.95364238  0.77777778
  0.          0.35175879  0.21076233  0.          0.          0.97142857
  0.          0.95652174  0.          0.77777778  0.8372093   0.
  0.88888889  0.          0.          0.64864865  0.73469388  0.
  0.63636364  0.          0.          0.74626866  0.94117647  0.08
  0.63636364  0.42857143  0.          0.8974359   0.89361702  0.82666667
  0.95081967  0.54945055  1.          0.        ]

session 1 test set:

accuracy: 58.1126951799
f1 by class: [ 0.77777778  0.8172043   0.63687151  0.88198758  0.96153846  0.75675676
  0.          0.21505376  0.13711584  0.          0.          0.97297297
  0.          1.          0.          0.95238095  0.75        0.
  0.70588235  0.          0.          0.81818182  0.73469388  0.          0.75
  0.          0.          0.74626866  0.83673469  0.          0.70833333
  0.4516129   0.          0.8974359   0.87619048  0.72222222  0.94017094
  0.68085106  0.975       0.        ]

session 2 training set:

accuracy: 63.7113402062
f1 by class: [ 0.69879518  0.73142857  0.69411765  0.8452381   0.95833333  0.92682927
  0.          0.47682119  0.31896552  0.04878049  0.15        0.90909091
  0.1         1.          0.          0.85        0.88372093  0.
  0.94736842  0.          0.          0.7804878   0.74509804  0.37179487
  0.66666667  0.          0.          0.74626866  0.96385542  0.32
  0.81355932  0.25        0.          0.9047619   0.82692308  0.9
  0.94308943  0.55913978  0.98795181  0.        ]

session 2 test set:

accuracy: 59.4025797692
f1 by class: [ 0.77844311  0.8042328   0.67058824  0.88198758  0.98684211  0.90909091
  0.          0.16058394  0.07239819  0.          0.05        0.94444444
  0.          1.          0.          0.97674419  0.68181818  0.
  0.70588235  0.          0.          0.84444444  0.80769231  0.18072289
  0.76        0.          0.          0.74626866  0.86021505  0.1863354
  0.83636364  0.17391304  0.11111111  0.89156627  0.85981308  0.75949367
  0.94915254  0.67368421  0.96296296  0.        ]

session 3 training set:

accuracy: 68.1099656357
f1 by class: [ 0.7388535   0.73863636  0.69411765  0.82080925  0.96644295  0.95238095
  0.          0.56842105  0.53030303  0.47058824  0.37837838  0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.84        0.73469388  0.4084507
  0.66666667  0.          0.42424242  0.725       0.86021505  0.36190476
  0.85245902  0.4137931   0.31578947  0.83516484  0.85148515  0.82666667
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 61.5071283096
f1 by class: [ 0.79012346  0.81283422  0.66666667  0.87116564  0.97402597  0.90909091
  0.          0.15789474  0.18032787  0.09411765  0.17699115  0.97435897
  0.26086957  0.92307692  0.          0.95238095  0.7755102   0.
  0.85714286  0.          0.          0.77777778  0.78431373  0.15602837
  0.76        0.          0.15873016  0.68965517  0.72566372  0.18803419
  0.88135593  0.45714286  0.34782609  0.87356322  0.83636364  0.64705882
  0.94017094  0.69306931  0.93975904  0.        ]

session 4 training set:

accuracy: 53.883161512
f1 by class: [ 0.76315789  0.74285714  0.28747433  0.85365854  0.96503497  0.74285714
  0.          0.          0.16666667  0.          0.          0.875       0.
  0.95652174  0.          0.43678161  0.85714286  0.          0.75        0.
  0.          0.33333333  0.73469388  0.          0.63636364  0.          0.
  0.72727273  0.94117647  0.          0.57142857  0.09090909  0.22222222
  0.8974359   0.85714286  0.88607595  0.98305085  0.55555556  0.97560976
  0.        ]

session 4 test set:

accuracy: 54.5145960625
f1 by class: [ 0.78980892  0.81283422  0.27966102  0.88198758  0.96688742  0.72222222
  0.          0.          0.12546125  0.          0.          0.8125      0.
  1.          0.          0.49411765  0.69767442  0.          0.53333333
  0.          0.          0.57142857  0.73469388  0.          0.72340426
  0.          0.          0.74626866  0.83673469  0.          0.59090909
  0.          0.21052632  0.8974359   0.90721649  0.74358974  0.95652174
  0.68817204  0.975       0.        ]

session 5 training set:

accuracy: 64.3986254296
f1 by class: [ 0.70731707  0.74418605  0.68062827  0.84848485  0.96503497  0.77777778
  0.          0.45977011  0.46987952  0.42718447  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.88888889  0.          0.          0.64864865  0.72        0.34871795
  0.66666667  0.          0.          0.74626866  0.96385542  0.3559322
  0.80769231  0.17391304  0.          0.91358025  0.86956522  0.9
  0.95081967  0.56862745  0.98795181  0.        ]

session 5 test set:

accuracy: 58.9952477936
f1 by class: [ 0.77844311  0.8172043   0.59183673  0.88198758  0.96598639  0.78947368
  0.          0.1589404   0.13402062  0.12345679  0.          0.94444444
  0.          1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.80769231  0.16129032
  0.76        0.          0.          0.76470588  0.86956522  0.22413793
  0.76        0.09090909  0.          0.91358025  0.88        0.74358974
  0.94117647  0.68571429  0.975       0.        ]

session 6 training set:

accuracy: 57.6632302405
f1 by class: [ 0.72049689  0.6875      0.67096774  0.85365854  0.95833333  0.95238095
  0.          0.27350427  0.29184549  0.          0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.22395833
  0.63636364  0.          0.          0.6984127   0.95121951  0.
  0.60465116  0.09090909  0.          0.8974359   0.86956522  0.85714286
  0.96666667  0.59090909  0.975       0.        ]

session 6 test set:

accuracy: 57.2301425662
f1 by class: [ 0.76190476  0.73429952  0.67096774  0.88198758  0.98013245  0.90909091
  0.          0.17475728  0.14529915  0.          0.          0.94444444
  0.          1.          0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.73469388  0.18333333
  0.66666667  0.          0.          0.73846154  0.85714286  0.
  0.68085106  0.          0.          0.8974359   0.87128713  0.72
  0.94827586  0.6741573   0.975       0.        ]

session 7 training set:

accuracy: 50.3092783505
f1 by class: [ 0.75816993  0.73863636  0.69798658  0.85365854  0.96503497  0.625       0.
  0.10344828  0.03174603  0.          0.          0.875       0.
  0.95652174  0.          0.74285714  0.82926829  0.          0.75        0.
  0.          0.27586207  0.73469388  0.          0.60465116  0.          0.
  0.68852459  0.89473684  0.          0.60465116  0.09090909  0.
  0.90909091  0.12857143  0.88888889  0.98305085  0.58426966  0.975       0.        ]

session 7 test set:

accuracy: 52.2063815343
f1 by class: [ 0.77987421  0.81283422  0.67114094  0.88198758  0.97297297  0.5625      0.
  0.          0.03174603  0.          0.          0.77419355  0.
  0.95652174  0.          0.95238095  0.74418605  0.          0.53333333
  0.          0.          0.57142857  0.78431373  0.03389831  0.72340426
  0.          0.          0.73846154  0.88636364  0.          0.65217391
  0.          0.          0.90909091  0.13843888  0.78481013  0.96551724
  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 60.6872852234
f1 by class: [ 0.7483871   0.72625698  0.68208092  0.85365854  0.96598639  0.77777778
  0.          0.31092437  0.27906977  0.32369942  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.88888889  0.          0.          0.64864865  0.73469388  0.35443038
  0.63636364  0.          0.          0.72727273  0.95238095  0.
  0.80769231  0.09090909  0.          0.9047619   0.86956522  0.87179487
  0.97478992  0.56818182  0.975       0.        ]

session 8 test set:

accuracy: 57.3659198914
f1 by class: [ 0.77777778  0.79581152  0.65517241  0.88198758  0.96774194  0.75675676
  0.          0.17283951  0.08064516  0.1863354   0.          0.84848485
  0.          1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.73469388  0.13513514
  0.72340426  0.          0.          0.74285714  0.84536082  0.
  0.78431373  0.          0.          0.89156627  0.89795918  0.72727273
  0.95652174  0.65882353  0.975       0.        ]

session 9 training set:

accuracy: 50.1030927835
f1 by class: [ 0.76510067  0.77844311  0.65248227  0.86419753  0.95833333  0.625       0.
  0.          0.15445026  0.          0.          0.83870968  0.
  0.91666667  0.          0.70588235  0.87804878  0.          0.57142857
  0.          0.          0.21428571  0.55        0.          0.46153846
  0.          0.          0.6779661   0.90666667  0.          0.18181818
  0.          0.          0.86111111  0.79518072  0.84210526  0.98275862
  0.55263158  0.94252874  0.        ]

session 9 test set:

accuracy: 51.3238289206
f1 by class: [ 0.76623377  0.83977901  0.63157895  0.88050314  0.96598639  0.5625      0.
  0.          0.15691489  0.          0.          0.68965517  0.
  0.90909091  0.          0.81081081  0.72727273  0.          0.42857143
  0.          0.          0.4375      0.75555556  0.03921569  0.57142857
  0.          0.          0.75409836  0.88888889  0.          0.22857143
  0.          0.          0.89189189  0.88421053  0.64788732  0.95652174
  0.62337662  0.93975904  0.        ]

averages over sessions
train accuracy: 58.0549828179
train f1 score: [ 0.73937634  0.74112895  0.64181446  0.84538406  0.96139231  0.78244483
  0.          0.25446481  0.26203553  0.12702526  0.05283784  0.90188703
  0.058       0.95723188  0.          0.76565421  0.8577749   0.
  0.82063615  0.          0.          0.51607482  0.71189135  0.17073522
  0.61482295  0.          0.04242424  0.71909471  0.92700197  0.1117837
  0.64849668  0.20145293  0.05380117  0.89182145  0.73222716  0.86414464
  0.96453195  0.56701923  0.97258603  0.        ]
test accuracy: 56.6327223354
test f1 score: [ 0.77802611  0.80961961  0.61323789  0.87758812  0.97081005  0.75631964
  0.          0.10400696  0.12453886  0.04039098  0.02269912  0.86796924
  0.02608696  0.97452113  0.          0.89483393  0.72499794  0.          0.6242577
  0.          0.          0.70862613  0.76609518  0.0889624   0.71049747
  0.          0.01587302  0.73943183  0.85136463  0.05985075  0.6775046
  0.16180223  0.06694635  0.89771467  0.75481039  0.72356504  0.95195465
  0.67328513  0.9667481   0.        ]
