data source: ../topic-classification-data/vectors_x2
vector size: 3000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 44.2611683849
f1 by class: [ 0.60103627  0.7150838   0.18274112  0.83040936  0.95833333  0.30769231
  0.          0.17647059  0.14583333  0.          0.          0.36363636
  0.          0.          0.          0.70588235  0.51851852  0.          0.
  0.          0.          0.14814815  0.4         0.04        0.125       0.
  0.          0.33333333  0.88        0.          0.28571429  0.          0.
  0.88888889  0.56716418  0.84848485  0.93548387  0.53012048  0.97560976
  0.        ]

performance on test set:

accuracy: 44.6707399864
f1 by class: [ 0.64356436  0.79581152  0.19338422  0.86585366  0.97402597  0.23076923
  0.          0.0625      0.02083333  0.          0.          0.1         0.
  0.          0.          0.66666667  0.09090909  0.          0.          0.
  0.          0.27586207  0.5         0.          0.18181818  0.          0.
  0.5         0.87804878  0.          0.17647059  0.          0.
  0.87323944  0.64788732  0.75925926  0.92436975  0.51851852  0.96202532
  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 53.4020618557
f1 by class: [ 0.74509804  0.7804878   0.68789809  0.80681818  0.95774648  0.66666667
  0.          0.          0.17578125  0.          0.          0.875       0.
  0.95652174  0.          0.81081081  0.8372093   0.          0.75        0.
  0.          0.33333333  0.72340426  0.          0.53658537  0.          0.
  0.70769231  0.89473684  0.          0.60465116  0.38461538  0.          0.8974359
  0.36437247  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.          0.18181818  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  0.39495798  0.73972603
  0.96551724  0.67368421  0.975       0.        ]

session 1 training set:

accuracy: 58.9690721649
f1 by class: [ 0.75324675  0.74285714  0.67039106  0.85365854  0.95364238  0.77777778
  0.          0.31325301  0.24623116  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  0.08163265
  0.63636364  0.42857143  0.          0.8974359   0.89361702  0.82666667
  0.95081967  0.54945055  1.          0.        ]

session 1 test set:

accuracy: 57.9769178547
f1 by class: [ 0.775       0.8172043   0.63687151  0.88198758  0.96153846  0.75675676
  0.          0.19004525  0.12886598  0.          0.          0.97297297
  0.          1.          0.          0.95238095  0.7755102   0.
  0.70588235  0.          0.          0.81818182  0.73469388  0.          0.7755102
  0.          0.          0.74626866  0.83673469  0.          0.70833333
  0.4516129   0.          0.8974359   0.87619048  0.73239437  0.94017094
  0.68085106  0.975       0.        ]

session 2 training set:

accuracy: 65.0859106529
f1 by class: [ 0.69879518  0.73142857  0.69411765  0.8452381   0.95833333  0.92682927
  0.          0.66037736  0.49122807  0.04878049  0.19512195  0.90909091
  0.1         1.          0.          0.85        0.88372093  0.
  0.94736842  0.          0.          0.7804878   0.74509804  0.37788018
  0.69565217  0.          0.          0.74626866  0.96385542  0.27083333
  0.81355932  0.25        0.          0.9047619   0.81904762  0.9
  0.94308943  0.55913978  0.98795181  0.        ]

session 2 test set:

accuracy: 60.2851323829
f1 by class: [ 0.77844311  0.8042328   0.67455621  0.88198758  0.98684211  0.90909091
  0.          0.11320755  0.06756757  0.          0.05        0.94444444
  0.          1.          0.          0.97674419  0.68181818  0.
  0.70588235  0.          0.          0.84444444  0.80769231  0.24193548
  0.76        0.          0.          0.74626866  0.86021505  0.22702703
  0.83636364  0.17391304  0.11111111  0.89156627  0.86792453  0.75949367
  0.94915254  0.67368421  0.96296296  0.        ]

session 3 training set:

accuracy: 70.1030927835
f1 by class: [ 0.7388535   0.73863636  0.69822485  0.8255814   0.96644295  0.95238095
  0.          0.64150943  0.61654135  0.69333333  0.40310078  0.94736842
  0.53846154  0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.84        0.73469388  0.5625
  0.66666667  0.          0.34883721  0.725       0.86021505  0.40350877
  0.85245902  0.4137931   0.31578947  0.83516484  0.87128713  0.82666667
  0.93548387  0.59405941  0.94252874  0.        ]

session 3 test set:

accuracy: 61.8465716225
f1 by class: [ 0.79012346  0.81283422  0.66272189  0.87116564  0.97402597  0.90909091
  0.          0.08108108  0.16666667  0.08823529  0.15254237  0.97435897
  0.26086957  0.92307692  0.          0.95238095  0.7755102   0.
  0.85714286  0.          0.          0.77777778  0.78431373  0.20454545
  0.76        0.          0.26086957  0.6744186   0.73214286  0.23943662
  0.88135593  0.45714286  0.34782609  0.87356322  0.81415929  0.64705882
  0.94017094  0.68627451  0.93975904  0.        ]

session 4 training set:

accuracy: 54.089347079
f1 by class: [ 0.76315789  0.74285714  0.29038855  0.85365854  0.96503497  0.74285714
  0.          0.          0.18181818  0.          0.          0.875       0.
  0.95652174  0.          0.44186047  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: 54.5824847251
f1 by class: [ 0.78980892  0.81283422  0.27906977  0.88198758  0.96688742  0.72222222
  0.          0.          0.13333333  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: 65.910652921
f1 by class: [ 0.71165644  0.74418605  0.69109948  0.84848485  0.96503497  0.77777778
  0.          0.51351351  0.47488584  0.62068966  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.88888889  0.          0.          0.64864865  0.76        0.35789474
  0.69565217  0.          0.          0.74626866  0.96385542  0.42857143
  0.80769231  0.17391304  0.          0.91358025  0.86956522  0.9
  0.95081967  0.56862745  0.98795181  0.        ]

session 5 test set:

accuracy: 59.606245757
f1 by class: [ 0.77844311  0.8172043   0.59067358  0.88198758  0.96598639  0.78947368
  0.          0.16        0.18803419  0.15151515  0.          0.94444444
  0.          1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.80769231  0.18181818
  0.76        0.          0.          0.76470588  0.86956522  0.23529412
  0.76        0.09090909  0.          0.91358025  0.88        0.74358974
  0.94117647  0.68571429  0.975       0.        ]

session 6 training set:

accuracy: 58.6941580756
f1 by class: [ 0.72049689  0.6875      0.67948718  0.85365854  0.95833333  0.95238095
  0.          0.36363636  0.30769231  0.          0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.25
  0.63636364  0.          0.          0.6984127   0.95121951  0.
  0.63636364  0.09090909  0.          0.8974359   0.86956522  0.85714286
  0.96666667  0.59090909  0.975       0.        ]

session 6 test set:

accuracy: 57.7053632043
f1 by class: [ 0.76646707  0.73429952  0.67096774  0.88198758  0.98013245  0.90909091
  0.          0.12631579  0.16724739  0.          0.          0.94444444
  0.          1.          0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.73469388  0.22222222
  0.69565217  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: 50.4467353952
f1 by class: [ 0.75324675  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  0.85714286  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  0.12931034  0.91358025  0.98305085  0.58426966  0.975       0.        ]

session 7 test set:

accuracy: 52.1384928717
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  0.72727273  0.          0.53333333
  0.          0.          0.57142857  0.78431373  0.03448276  0.72340426
  0.          0.          0.73846154  0.88636364  0.          0.65217391
  0.          0.          0.90909091  0.13823529  0.76923077  0.96551724
  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 62.1305841924
f1 by class: [ 0.74358974  0.72625698  0.68604651  0.85365854  0.96598639  0.77777778
  0.          0.3507109   0.33846154  0.32085561  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.88888889  0.          0.          0.64864865  0.73469388  0.53763441
  0.63636364  0.          0.          0.72727273  0.95238095  0.
  0.80769231  0.09090909  0.          0.9047619   0.86956522  0.87179487
  0.97478992  0.58139535  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.          0.17777778  0.11538462  0.13173653  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: 50.2405498282
f1 by class: [ 0.76510067  0.78313253  0.65248227  0.86419753  0.95833333  0.625       0.
  0.          0.15485564  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.          0.23529412
  0.          0.          0.87671233  0.79518072  0.84210526  0.98275862
  0.55263158  0.93181818  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: 58.9072164948
train f1 score: [ 0.73932419  0.74159789  0.64481222  0.84586127  0.96139231  0.78244483
  0.          0.29464489  0.30192414  0.16836591  0.05982227  0.90188703
  0.06384615  0.95723188  0.          0.7661621   0.86056235  0.
  0.82063615  0.          0.          0.51607482  0.71866656  0.20859093
  0.62062006  0.          0.03488372  0.71909471  0.92700197  0.11845462
  0.65701552  0.20145293  0.05380117  0.89338157  0.73386538  0.86661378
  0.96453195  0.56892299  0.97258603  0.        ]
test accuracy: 56.8499660557
test f1 score: [ 0.77820456  0.80961961  0.61306477  0.87758812  0.97081005  0.75631964
  0.          0.08484274  0.13375788  0.0371487   0.02025424  0.86796924
  0.02608696  0.97452113  0.          0.89483393  0.72585762  0.          0.6242577
  0.          0.          0.70862613  0.76609518  0.10593549  0.71594704
  0.          0.02608696  0.73790818  0.85201255  0.07017578  0.6775046
  0.16180223  0.06694635  0.89771467  0.75321409  0.72302432  0.95195465
  0.67260565  0.9667481   0.        ]
