data source: ../topic-classification-data/vectors_x2
vector size: 5000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 38.4192439863
f1 by class: [ 0.54460094  0.5         0.20895522  0.64        0.93421053  0.          0.
  0.          0.32394366  0.          0.          0.10526316  0.          0.
  0.          0.16666667  0.          0.          0.          0.          0.
  0.07692308  0.07142857  0.          0.          0.          0.
  0.05555556  0.62068966  0.          0.          0.          0.
  0.63157895  0.4516129   0.74509804  0.87878788  0.3943662   0.84507042
  0.        ]

performance on test set:

accuracy: 39.1717583164
f1 by class: [ 0.58035714  0.54054054  0.21823617  0.68246445  0.925       0.          0.
  0.          0.23357664  0.          0.          0.          0.          0.
  0.          0.          0.          0.          0.          0.          0.
  0.07692308  0.07142857  0.          0.          0.          0.
  0.15789474  0.64615385  0.          0.          0.          0.
  0.60714286  0.47619048  0.71153846  0.88188976  0.37142857  0.89189189
  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 50.9965635739
f1 by class: [ 0.75816993  0.7875      0.67142857  0.8452381   0.95035461  0.625       0.
  0.          0.24        0.          0.          0.83870968  0.
  0.95652174  0.          0.70588235  0.85714286  0.          0.75        0.
  0.          0.21428571  0.63636364  0.          0.46153846  0.          0.
  0.70967742  0.89189189  0.11914894  0.53658537  0.09090909  0.
  0.89473684  0.81481481  0.82666667  0.96666667  0.59340659  0.975       0.        ]

session 0 test set:

accuracy: 51.9348268839
f1 by class: [ 0.775       0.84745763  0.6259542   0.87116564  0.95172414  0.60606061
  0.          0.          0.16666667  0.          0.          0.68965517
  0.          0.90909091  0.          0.84210526  0.80851064  0.
  0.42857143  0.          0.          0.48484848  0.75555556  0.
  0.57142857  0.          0.          0.76923077  0.91764706  0.11239193
  0.41025641  0.          0.          0.90909091  0.86956522  0.71428571
  0.94915254  0.66666667  0.975       0.        ]

session 1 training set:

accuracy: 56.3573883162
f1 by class: [ 0.76315789  0.75581395  0.68888889  0.85365854  0.96503497  0.70588235
  0.          0.29333333  0.18446602  0.          0.25641026  0.90909091
  0.          0.95652174  0.          0.77777778  0.8372093   0.
  0.82352941  0.          0.          0.48484848  0.75        0.
  0.63636364  0.          0.          0.70769231  0.96385542  0.
  0.60465116  0.09090909  0.          0.90909091  0.87356322  0.84210526
  0.97478992  0.59090909  0.98765432  0.        ]

session 1 test set:

accuracy: 56.5512559403
f1 by class: [ 0.77018634  0.81283422  0.67039106  0.88198758  0.96598639  0.68571429
  0.          0.09375     0.16611296  0.          0.05263158  0.84848485
  0.          1.          0.          0.95238095  0.76595745  0.          0.625
  0.          0.          0.8372093   0.75        0.          0.66666667
  0.          0.          0.74626866  0.85416667  0.          0.59090909
  0.          0.          0.90909091  0.90526316  0.72222222  0.95726496
  0.66666667  0.975       0.        ]

session 2 training set:

accuracy: 61.0996563574
f1 by class: [ 0.74358974  0.73863636  0.6557377   0.85365854  0.96551724  0.81081081
  0.          0.18764302  0.4375      0.          0.47058824  0.90909091
  0.27272727  1.          0.          0.81081081  0.85714286  0.
  0.94736842  0.          0.          0.61111111  0.76        0.17647059
  0.72340426  0.          0.          0.75362319  0.96385542  0.43037975
  0.82142857  0.25        0.          0.9         0.87640449  0.9
  0.93548387  0.59090909  0.98795181  0.        ]

session 2 test set:

accuracy: 60.4887983707
f1 by class: [ 0.75449102  0.8172043   0.67403315  0.88198758  0.96774194  0.82051282
  0.          0.1465721   0.37209302  0.          0.28070175  0.94444444
  0.0952381   1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.76        0.13559322
  0.76        0.          0.          0.74626866  0.83333333  0.25352113
  0.83636364  0.17391304  0.11111111  0.91358025  0.91666667  0.75949367
  0.93220339  0.6741573   0.975       0.        ]

session 3 training set:

accuracy: 54.0206185567
f1 by class: [ 0.75816993  0.78313253  0.6993007   0.85365854  0.95172414  0.66666667
  0.          0.25974026  0.17226277  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.          0.75
  0.          0.          0.27586207  0.63636364  0.          0.5         0.
  0.          0.66666667  0.93670886  0.08163265  0.60465116  0.09090909
  0.          0.90909091  0.87640449  0.84210526  0.98305085  0.60240964
  0.975       0.        ]

session 3 test set:

accuracy: 54.6503733876
f1 by class: [ 0.77018634  0.84444444  0.68115942  0.88198758  0.96774194  0.68571429
  0.          0.06451613  0.16320475  0.          0.          0.77419355
  0.          0.95652174  0.          0.95238095  0.74418605  0.
  0.53333333  0.          0.          0.52941176  0.75555556  0.
  0.60465116  0.          0.          0.75757576  0.86666667  0.08
  0.52380952  0.          0.          0.90909091  0.92783505  0.68493151
  0.95652174  0.64285714  0.975       0.        ]

session 4 training set:

accuracy: 53.5395189003
f1 by class: [ 0.7483871   0.75581395  0.22670807  0.85365854  0.96503497  0.84210526
  0.          0.06896552  0.29508197  0.          0.          0.875       0.
  0.95652174  0.          0.43678161  0.85714286  0.          0.75        0.
  0.          0.27586207  0.78431373  0.          0.60465116  0.          0.
  0.71875     0.96385542  0.          0.60465116  0.09090909  0.
  0.90909091  0.81395349  0.84210526  0.98305085  0.54736842  0.98765432
  0.        ]

session 4 test set:

accuracy: 55.1934826884
f1 by class: [ 0.77987421  0.82608696  0.22874807  0.88198758  0.98013245  0.88372093
  0.          0.          0.35849057  0.          0.          0.77419355
  0.          1.          0.          0.48780488  0.73913043  0.
  0.53333333  0.          0.          0.52941176  0.83018868  0.
  0.69565217  0.          0.          0.76470588  0.87912088  0.
  0.55813953  0.          0.          0.90909091  0.87234043  0.72972973
  0.95652174  0.67391304  0.975       0.        ]

session 5 training set:

accuracy: 60.4810996564
f1 by class: [ 0.7388535   0.73446328  0.66315789  0.85365854  0.9352518   0.77777778
  0.          0.2039801   0.37647059  0.04878049  0.46753247  0.90909091
  0.          0.95652174  0.          0.81081081  0.87804878  0.
  0.88888889  0.          0.          0.4375      0.76        0.33898305
  0.75        0.          0.          0.74626866  0.96385542  0.3956044
  0.79245283  0.17391304  0.          0.87356322  0.81481481  0.88607595
  0.96666667  0.57142857  0.98765432  0.        ]

session 5 test set:

accuracy: 59.6741344196
f1 by class: [ 0.76646707  0.82162162  0.68478261  0.88198758  0.93706294  0.78947368
  0.          0.14427861  0.23684211  0.          0.48        0.84848485
  0.          1.          0.          0.95238095  0.69767442  0.          0.625
  0.          0.          0.80952381  0.76        0.22764228  0.76        0.
  0.          0.76470588  0.86956522  0.26966292  0.78431373  0.09090909
  0.          0.88095238  0.88888889  0.72727273  0.94915254  0.6875      0.975
  0.        ]

session 6 training set:

accuracy: 55.8075601375
f1 by class: [ 0.75324675  0.76470588  0.76923077  0.85365854  0.96503497  0.84210526
  0.          0.34567901  0.37894737  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.69565217  0.15334421
  0.63636364  0.          0.          0.70967742  0.89473684  0.
  0.60465116  0.09090909  0.          0.90909091  0.81927711  0.85714286
  0.93548387  0.61176471  0.975       0.        ]

session 6 test set:

accuracy: 56.4154786151
f1 by class: [ 0.7607362   0.8172043   0.7012987   0.88198758  0.97297297  0.88372093
  0.          0.08823529  0.33333333  0.          0.          0.88235294
  0.          0.95652174  0.          0.95238095  0.69767442  0.
  0.53333333  0.          0.          0.75        0.75555556  0.1530782
  0.66666667  0.          0.          0.73846154  0.90697674  0.
  0.59090909  0.          0.          0.90909091  0.88172043  0.72
  0.92561983  0.65882353  0.975       0.        ]

session 7 training set:

accuracy: 49.4845360825
f1 by class: [ 0.74509804  0.78527607  0.71724138  0.86419753  0.96503497  0.58064516
  0.          0.          0.03225806  0.          0.          0.83870968
  0.          0.91666667  0.          0.70588235  0.87804878  0.
  0.66666667  0.          0.          0.21428571  0.75        0.          0.5
  0.          0.          0.74285714  0.89473684  0.          0.57142857
  0.          0.          0.87671233  0.12365591  0.9         0.97435897
  0.59770115  0.975       0.        ]

session 7 test set:

accuracy: 49.2871690428
f1 by class: [ 0.7654321   0.84444444  0.67164179  0.88050314  0.95890411  0.35714286
  0.          0.          0.03174603  0.          0.          0.68965517
  0.          0.90909091  0.          0.77777778  0.74418605  0.
  0.42857143  0.          0.          0.48484848  0.75        0.
  0.60465116  0.          0.          0.72463768  0.90697674  0.          0.45
  0.          0.          0.89189189  0.12817089  0.75324675  0.95652174
  0.64367816  0.975       0.        ]

session 8 training set:

accuracy: 46.735395189
f1 by class: [ 0.76190476  0.7875      0.67142857  0.8625      0.94285714  0.58064516
  0.          0.12439024  0.          0.04651163  0.          0.66666667
  0.          0.90909091  0.          0.70588235  0.87804878  0.
  0.46153846  0.          0.          0.21428571  0.55        0.
  0.46153846  0.          0.          0.58823529  0.89189189  0.
  0.18181818  0.          0.          0.84507042  0.47619048  0.82666667
  0.98275862  0.53333333  0.975       0.        ]

session 8 test set:

accuracy: 46.571622539
f1 by class: [ 0.76315789  0.84269663  0.63076923  0.86624204  0.94444444  0.2962963   0.
  0.12121212  0.          0.          0.          0.53846154  0.
  0.90909091  0.          0.74285714  0.74418605  0.          0.42857143
  0.          0.          0.27586207  0.74418605  0.          0.46153846
  0.          0.          0.65454545  0.88888889  0.          0.22857143
  0.          0.          0.87671233  0.56716418  0.62686567  0.95652174
  0.54794521  0.975       0.        ]

session 9 training set:

accuracy: 53.3333333333
f1 by class: [ 0.77027027  0.72131148  0.68235294  0.84848485  0.96503497  0.66666667
  0.          0.          0.17629179  0.          0.          0.875       0.
  0.91666667  0.          0.74285714  0.85714286  0.          0.75        0.
  0.          0.27586207  0.65116279  0.          0.53658537  0.          0.
  0.71641791  0.88        0.          0.60465116  0.          0.
  0.89473684  0.75728155  0.84210526  0.98305085  0.56410256  0.9010989   0.        ]

session 9 test set:

accuracy: 54.5824847251
f1 by class: [ 0.78205128  0.79166667  0.6746988   0.88198758  0.97368421  0.5625      0.
  0.          0.178125    0.          0.          0.77419355  0.
  0.95652174  0.          0.9         0.74418605  0.          0.42857143
  0.          0.          0.52941176  0.7826087   0.          0.72340426
  0.          0.          0.73239437  0.89411765  0.          0.45        0.
  0.          0.90666667  0.76521739  0.7027027   0.95652174  0.63291139
  0.92857143  0.        ]

averages over sessions
train accuracy: 54.1855670103
train f1 score: [ 0.75408479  0.76141535  0.64454755  0.85423717  0.95708798  0.70983051
  0.          0.14837315  0.22932786  0.00952921  0.1194531   0.86395406
  0.02727273  0.94815547  0.          0.72522408  0.86142128  0.
  0.76115213  0.          0.          0.33372363  0.6973856   0.06687978
  0.5810445   0.          0.          0.7059866   0.9245388   0.10267657
  0.59269693  0.08784585  0.          0.89211833  0.72463604  0.85649732
  0.96853611  0.58033332  0.97270137  0.        ]
test accuracy: 54.5349626612
test f1 score: [ 0.76875824  0.82656612  0.6243477   0.87918239  0.96203955  0.65708567
  0.          0.06585643  0.20066144  0.          0.08133333  0.77641196
  0.00952381  0.95968379  0.          0.85124498  0.73675097  0.
  0.52701681  0.          0.          0.60487093  0.76436501  0.05163137
  0.65146591  0.          0.          0.73987946  0.88174598  0.0715576
  0.54232724  0.02648221  0.01111111  0.90152581  0.77228323  0.71407507
  0.9496002   0.64951191  0.97035714  0.        ]
