data source: ../topic-classification-data/vectors_x2
vector size: 200

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 64.3986254296
f1 by class: [ 0.74509804  0.7826087   0.6746988   0.8502994   0.95833333  0.84210526
  0.          0.32        0.28818444  0.39285714  0.30434783  0.97142857
  0.64285714  0.91666667  0.0952381   0.9         0.86363636  0.
  0.94736842  0.          0.          0.81818182  0.86792453  0.25185185
  0.82142857  0.07407407  0.05555556  0.73529412  0.94117647  0.30508475
  0.84210526  0.53333333  0.22222222  0.89411765  0.8372093   0.88636364
  0.97435897  0.55555556  0.95348837  0.        ]

performance on test set:

accuracy: 62.7970128988
f1 by class: [ 0.79245283  0.83977901  0.67878788  0.87654321  0.97402597  0.9047619   0.
  0.18867925  0.22686567  0.10909091  0.          0.91428571  0.26086957
  1.          0.          0.97674419  0.7755102   0.          0.85714286
  0.          0.          0.80851064  0.8         0.26153846  0.87272727
  0.          0.04878049  0.71232877  0.87912088  0.0754717   0.89285714
  0.37037037  0.21052632  0.925       0.90526316  0.80487805  0.95798319
  0.62015504  0.95238095  0.06666667]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 53.676975945
f1 by class: [ 0.75        0.7804878   0.68055556  0.80225989  0.95104895  0.66666667
  0.          0.          0.16358025  0.          0.          0.875       0.
  0.95652174  0.          0.81081081  0.85714286  0.          0.75        0.
  0.          0.27586207  0.69565217  0.          0.5         0.          0.
  0.73846154  0.89473684  0.          0.60465116  0.38461538  0.          0.8974359
  0.72413793  0.85714286  0.98305085  0.59047619  0.975       0.        ]

session 0 test set:

accuracy: 56.1439239647
f1 by class: [ 0.78980892  0.84916201  0.67625899  0.84023669  0.95890411  0.68571429
  0.          0.          0.18553459  0.          0.          0.77419355
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.42857143  0.          0.          0.57142857  0.7826087   0.
  0.66666667  0.          0.          0.72727273  0.90697674  0.
  0.65217391  0.38461538  0.          0.91358025  0.8034188   0.72
  0.96551724  0.69230769  0.975       0.        ]

session 1 training set:

accuracy: 56.4948453608
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.85365854  0.95833333  0.77777778
  0.          0.1744186   0.18574514  0.          0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.8372093   0.
  0.88888889  0.          0.          0.57142857  0.73469388  0.
  0.63636364  0.          0.          0.74626866  0.79207921  0.08
  0.63636364  0.35714286  0.          0.8974359   0.89361702  0.84210526
  0.95867769  0.55555556  0.98765432  0.        ]

session 1 test set:

accuracy: 57.7732518669
f1 by class: [ 0.77018634  0.8         0.61621622  0.88198758  0.98666667  0.78947368
  0.          0.11320755  0.16166282  0.          0.          0.94444444
  0.          1.          0.          0.95238095  0.7755102   0.
  0.70588235  0.          0.          0.81818182  0.73469388  0.          0.75
  0.          0.          0.74626866  0.72566372  0.          0.70833333
  0.4516129   0.          0.8974359   0.87619048  0.73239437  0.94915254
  0.68085106  0.96296296  0.        ]

session 2 training set:

accuracy: 55.0515463918
f1 by class: [ 0.725       0.75144509  0.68674699  0.85365854  0.95833333  0.77777778
  0.          0.03571429  0.          0.          0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.          0.75
  0.          0.          0.33333333  0.75        0.18571429  0.63636364
  0.          0.          0.70967742  0.92307692  0.29545455  0.63636364
  0.09090909  0.          0.8974359   0.34126984  0.87179487  0.98305085
  0.59615385  0.975       0.        ]

session 2 test set:

accuracy: 56.1439239647
f1 by class: [ 0.76646707  0.82162162  0.66666667  0.88198758  0.98013245  0.78947368
  0.          0.          0.          0.          0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.
  0.53333333  0.          0.          0.71794872  0.73469388  0.16790123
  0.69565217  0.          0.          0.73846154  0.89655172  0.14925373
  0.70833333  0.          0.          0.8974359   0.35249042  0.72727273
  0.95652174  0.69902913  0.975       0.        ]

session 3 training set:

accuracy: 61.8556701031
f1 by class: [ 0.73417722  0.73446328  0.68263473  0.83040936  0.94736842  0.95238095
  0.          0.18604651  0.11111111  0.26666667  0.3943662   0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.8         0.73469388  0.21052632
  0.63636364  0.05797101  0.22580645  0.70886076  0.85106383  0.20338983
  0.83333333  0.4137931   0.31578947  0.84444444  0.86597938  0.87179487
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 60.3530210455
f1 by class: [ 0.7826087   0.81283422  0.67065868  0.87654321  0.96774194  0.90909091
  0.          0.11392405  0.04123711  0.08        0.05970149  0.97435897
  0.26086957  0.92307692  0.          0.97674419  0.73913043  0.
  0.85714286  0.          0.          0.79245283  0.76        0.17105263
  0.7755102   0.0625      0.20253165  0.6744186   0.73214286  0.06666667
  0.88135593  0.45714286  0.36363636  0.87356322  0.87619048  0.72
  0.94017094  0.68        0.93975904  0.        ]

session 4 training set:

accuracy: 62.1305841924
f1 by class: [ 0.7388535   0.69892473  0.64804469  0.81609195  0.95364238  0.83333333
  0.          0.10958904  0.2359882   0.26666667  0.33962264  0.94444444
  0.34782609  0.96        0.          0.88372093  0.88372093  0.
  0.94736842  0.          0.          0.82352941  0.73469388  0.2
  0.69387755  0.          0.          0.69230769  0.83333333  0.28070175
  0.76923077  0.09090909  0.56410256  0.84444444  0.80769231  0.89156627
  0.928       0.57425743  0.93181818  0.        ]

session 4 test set:

accuracy: 60.2851323829
f1 by class: [ 0.78527607  0.75247525  0.61202186  0.8502994   0.96774194  0.85106383
  0.          0.11111111  0.17846154  0.03571429  0.          0.97297297
  0.0952381   0.88888889  0.          0.93333333  0.68085106  0.
  0.85714286  0.          0.          0.75        0.73469388  0.0625
  0.76923077  0.          0.          0.69767442  0.73214286  0.14545455
  0.80597015  0.          0.45        0.87356322  0.83636364  0.775
  0.94117647  0.6875      0.93975904  0.        ]

session 5 training set:

accuracy: 63.6426116838
f1 by class: [ 0.72049689  0.71910112  0.65591398  0.81142857  0.95774648  0.95238095
  0.          0.225       0.27272727  0.36363636  0.28571429  0.97297297
  0.64285714  0.96        0.08333333  0.87804878  0.9047619   0.
  0.94736842  0.          0.          0.8         0.79245283  0.20967742
  0.68        0.07407407  0.05555556  0.72222222  0.86956522  0.35820896
  0.83333333  0.32        0.52173913  0.91358025  0.84        0.92682927
  0.93548387  0.53846154  0.93181818  0.        ]

session 5 test set:

accuracy: 61.099796334
f1 by class: [ 0.78313253  0.8         0.60869565  0.8452381   0.96598639  0.90909091
  0.          0.07142857  0.17391304  0.          0.13559322  0.97297297
  0.42857143  0.92307692  0.          0.97674419  0.68085106  0.
  0.85714286  0.          0.          0.79245283  0.81481481  0.176
  0.74509804  0.          0.          0.69135802  0.73214286  0.13114754
  0.79411765  0.46666667  0.48        0.91358025  0.8440367   0.75949367
  0.94214876  0.68627451  0.93975904  0.        ]

session 6 training set:

accuracy: 56.3573883162
f1 by class: [ 0.7388535   0.67692308  0.67901235  0.85365854  0.95833333  0.78431373
  0.          0.19895288  0.11607143  0.          0.          0.94736842
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.73469388  0.25827815
  0.63636364  0.          0.          0.6984127   0.95121951  0.
  0.60465116  0.09090909  0.          0.8974359   0.86956522  0.85714286
  0.96666667  0.57471264  0.975       0.        ]

session 6 test set:

accuracy: 56.5512559403
f1 by class: [ 0.7654321   0.71698113  0.68322981  0.88198758  0.98013245  0.8         0.
  0.13714286  0.06511628  0.          0.          0.95        0.          1.
  0.          0.95238095  0.71428571  0.          0.53333333  0.          0.
  0.7804878   0.73469388  0.17931034  0.69565217  0.          0.
  0.73846154  0.85714286  0.          0.68085106  0.          0.          0.8974359
  0.8627451   0.72727273  0.94827586  0.6741573   0.975       0.        ]

session 7 training set:

accuracy: 55.1890034364
f1 by class: [ 0.73417722  0.76470588  0.69512195  0.85365854  0.95833333  0.66666667
  0.          0.03571429  0.15615616  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.74509804  0.24161074
  0.63636364  0.          0.          0.72727273  0.96385542  0.          0.8
  0.09090909  0.          0.8974359   0.30136986  0.9         0.96666667
  0.57142857  0.975       0.        ]

session 7 test set:

accuracy: 56.4154786151
f1 by class: [ 0.77018634  0.83516484  0.67901235  0.88198758  0.97333333  0.68571429
  0.          0.          0.12140575  0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.80769231  0.21333333
  0.72340426  0.          0.          0.76470588  0.86956522  0.
  0.83636364  0.          0.          0.91358025  0.31292517  0.76923077
  0.96551724  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 58.0068728522
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.86419753  0.95890411  0.77777778
  0.          0.21126761  0.2231405   0.2585034   0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.26666667
  0.57142857  0.          0.          0.72727273  0.96385542  0.
  0.80769231  0.09090909  0.          0.90243902  0.81927711  0.87179487
  0.98305085  0.58823529  0.97560976  0.        ]

session 8 test set:

accuracy: 57.094365241
f1 by class: [ 0.77018634  0.8042328   0.67857143  0.88050314  0.96774194  0.75675676
  0.          0.13333333  0.13559322  0.11510791  0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.          0.625
  0.          0.          0.81818182  0.73469388  0.19512195  0.66666667
  0.          0.          0.73529412  0.86956522  0.          0.78431373
  0.          0.          0.90243902  0.89130435  0.72727273  0.95652174
  0.66666667  0.96296296  0.        ]

session 9 training set:

accuracy: 52.5773195876
f1 by class: [ 0.75496689  0.72625698  0.67878788  0.85365854  0.95833333  0.66666667
  0.          0.          0.          0.          0.          0.875       0.
  0.95652174  0.          0.74285714  0.85714286  0.          0.75        0.
  0.          0.27586207  0.66666667  0.19628647  0.53658537  0.          0.
  0.73846154  0.89473684  0.          0.57142857  0.09090909  0.          0.8974359
  0.23466667  0.87179487  0.98305085  0.5952381   0.97619048  0.        ]

session 9 test set:

accuracy: 54.3109300747
f1 by class: [ 0.78481013  0.8042328   0.68292683  0.88198758  0.97368421  0.68571429
  0.          0.          0.          0.          0.          0.77419355
  0.          0.95652174  0.          0.95238095  0.71428571  0.
  0.53333333  0.          0.          0.57142857  0.7826087   0.2010582
  0.66666667  0.          0.          0.72727273  0.90697674  0.
  0.55813953  0.          0.          0.8974359   0.26256983  0.72727273
  0.95652174  0.64285714  0.96296296  0.        ]

averages over sessions
train accuracy: 57.4982817869
train f1 score: [ 0.74030187  0.73048219  0.67401515  0.839268    0.9560377   0.78557423
  0.          0.11767032  0.14645201  0.11554731  0.10197031  0.91985179
  0.14706832  0.95756522  0.00833333  0.82364587  0.86522702  0.
  0.84515824  0.          0.          0.49841821  0.73233391  0.176876
  0.61637097  0.01320451  0.0281362   0.7209218   0.89375226  0.12177551
  0.70970479  0.20210059  0.14016312  0.88895235  0.66975753  0.8761966
  0.96231822  0.57727545  0.96349091  0.        ]
test accuracy: 57.617107943
test f1 score: [ 0.77680945  0.79967047  0.65742585  0.87027584  0.97220654  0.78620926
  0.          0.06801475  0.10629244  0.02308222  0.01952947  0.8908591
  0.07846791  0.9604608   0.          0.95534884  0.71880311  0.
  0.64642157  0.          0.          0.73930508  0.76211939  0.13662777
  0.71545476  0.00625     0.02025316  0.72411882  0.82288708  0.04925225
  0.74099523  0.17600378  0.12936364  0.89800498  0.6918235   0.73852097
  0.95215243  0.67909622  0.9608166   0.        ]
