data source: ../topic-classification-data/vectors_x2
vector size: 1000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 55.9450171821
f1 by class: [ 0.65168539  0.76190476  0.27413127  0.83040936  0.95302013  0.74285714
  0.          0.14285714  0.25        0.          0.          0.90909091
  0.1         0.58823529  0.          0.84210526  0.85        0.
  0.66666667  0.          0.          0.57142857  0.72340426  0.24137931
  0.78431373  0.          0.          0.72413793  0.95238095  0.          0.75
  0.17391304  0.          0.9047619   0.8         0.87912088  0.890625
  0.55882353  0.93181818  0.        ]

performance on test set:

accuracy: 55.3971486762
f1 by class: [ 0.7027027   0.82608696  0.26589595  0.86585366  0.95541401  0.60606061
  0.          0.17647059  0.03870968  0.          0.          0.84848485
  0.          0.85714286  0.          0.92682927  0.8         0.
  0.53333333  0.          0.          0.7804878   0.81632653  0.05970149
  0.69565217  0.          0.          0.63157895  0.88888889  0.
  0.70833333  0.          0.          0.925       0.86363636  0.80898876
  0.91935484  0.59259259  0.95238095  0.        ]

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.          0.1633282   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  0.59615385  0.975       0.        ]

session 0 test set:

accuracy: 56.0760353021
f1 by class: [ 0.78980892  0.84916201  0.66666667  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  0.79661017  0.72
  0.96551724  0.69230769  0.975       0.        ]

session 1 training set:

accuracy: 57.4570446735
f1 by class: [ 0.75324675  0.72625698  0.67777778  0.85365854  0.95833333  0.77777778
  0.          0.21212121  0.21917808  0.          0.          0.94117647
  0.          0.95652174  0.          0.81081081  0.8372093   0.
  0.88888889  0.          0.          0.61111111  0.73469388  0.
  0.63636364  0.          0.          0.74626866  0.79207921  0.08
  0.63636364  0.42857143  0.          0.8974359   0.89361702  0.84210526
  0.95867769  0.55555556  0.98765432  0.        ]

session 1 test set:

accuracy: 57.8411405295
f1 by class: [ 0.77018634  0.8         0.62295082  0.88198758  0.98666667  0.78947368
  0.          0.13253012  0.16317016  0.          0.          0.94444444
  0.          1.          0.          0.95238095  0.75        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  0.72222222  0.94915254
  0.68085106  0.96296296  0.        ]

session 2 training set:

accuracy: 55.5326460481
f1 by class: [ 0.725       0.74712644  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        0.17077799  0.63636364
  0.          0.          0.70967742  0.92307692  0.30232558  0.63636364
  0.09090909  0.          0.8974359   0.60689655  0.87179487  0.98305085
  0.59047619  0.975       0.        ]

session 2 test set:

accuracy: 56.6870332654
f1 by class: [ 0.77575758  0.82162162  0.66666667  0.875       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  0.16470588
  0.72340426  0.          0.          0.73846154  0.89655172  0.15384615
  0.70833333  0.          0.          0.8974359   0.575       0.72727273
  0.95652174  0.69902913  0.975       0.        ]

session 3 training set:

accuracy: 64.8109965636
f1 by class: [ 0.73417722  0.73446328  0.68263473  0.8255814   0.94736842  0.95238095
  0.          0.23287671  0.35714286  0.37647059  0.42857143  0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.8         0.73469388  0.33333333
  0.63636364  0.1971831   0.32911392  0.70886076  0.85106383  0.29508197
  0.83333333  0.4137931   0.31578947  0.84444444  0.85714286  0.87179487
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 60.8961303462
f1 by class: [ 0.7826087   0.81283422  0.67065868  0.87654321  0.96774194  0.90909091
  0.          0.13605442  0.0173913   0.14492754  0.1038961   0.97435897
  0.26086957  0.92307692  0.          0.97674419  0.73913043  0.
  0.85714286  0.          0.          0.79245283  0.76        0.17777778
  0.7755102   0.0952381   0.28571429  0.68965517  0.73214286  0.06451613
  0.88135593  0.45714286  0.36363636  0.87356322  0.82882883  0.72
  0.94017094  0.68        0.93975904  0.        ]

session 4 training set:

accuracy: 64.6735395189
f1 by class: [ 0.74358974  0.7027027   0.65957447  0.81142857  0.95364238  0.90909091
  0.          0.26470588  0.29757785  0.43636364  0.42105263  0.94444444
  0.34782609  0.96        0.          0.88372093  0.88372093  0.
  0.94736842  0.          0.          0.82352941  0.73469388  0.4
  0.74509804  0.          0.          0.69230769  0.82474227  0.32142857
  0.67567568  0.09090909  0.61111111  0.84444444  0.81553398  0.89156627
  0.928       0.57425743  0.93181818  0.        ]

session 4 test set:

accuracy: 60.2172437203
f1 by class: [ 0.78527607  0.75247525  0.59259259  0.8502994   0.96774194  0.90909091
  0.          0.03125     0.1875      0.03921569  0.          0.97297297
  0.0952381   0.88888889  0.          0.93333333  0.68085106  0.
  0.85714286  0.          0.          0.75        0.73469388  0.1509434
  0.76923077  0.          0.          0.69767442  0.73214286  0.07407407
  0.72972973  0.          0.47368421  0.87356322  0.81415929  0.775
  0.94117647  0.6875      0.93975904  0.        ]

session 5 training set:

accuracy: 65.2233676976
f1 by class: [ 0.725       0.71910112  0.67403315  0.81142857  0.95774648  0.95238095
  0.          0.31404959  0.34188034  0.44776119  0.26950355  0.97297297
  0.68965517  0.96        0.25        0.87804878  0.9047619   0.
  0.94736842  0.          0.          0.8         0.79245283  0.27210884
  0.73076923  0.07407407  0.11111111  0.72222222  0.86021505  0.36781609
  0.79365079  0.38461538  0.52173913  0.91358025  0.85714286  0.92682927
  0.93548387  0.54368932  0.93181818  0.        ]

session 5 test set:

accuracy: 61.0319076714
f1 by class: [ 0.78313253  0.8         0.61202186  0.8452381   0.96598639  0.90909091
  0.          0.11764706  0.03883495  0.06349206  0.16107383  0.97297297
  0.42857143  0.92307692  0.          0.97674419  0.68085106  0.
  0.85714286  0.          0.          0.79245283  0.81481481  0.14925373
  0.74509804  0.          0.          0.69135802  0.73214286  0.24691358
  0.80597015  0.46666667  0.48        0.91358025  0.83636364  0.75949367
  0.94214876  0.68627451  0.93975904  0.        ]

session 6 training set:

accuracy: 57.8694158076
f1 by class: [ 0.7388535   0.67692308  0.67901235  0.85365854  0.95833333  0.8         0.
  0.23809524  0.24626866  0.          0.          0.92307692  0.
  0.95652174  0.          0.81081081  0.85714286  0.          0.82352941
  0.          0.          0.38709677  0.73469388  0.27835052  0.63636364
  0.          0.          0.6984127   0.95121951  0.          0.60465116
  0.09090909  0.          0.8974359   0.86956522  0.87179487  0.96666667
  0.59090909  0.975       0.        ]

session 6 test set:

accuracy: 56.6191446029
f1 by class: [ 0.7654321   0.71698113  0.68322981  0.88198758  0.98013245  0.8         0.
  0.15238095  0.10948905  0.          0.          0.95        0.          1.
  0.          0.95238095  0.71428571  0.          0.53333333  0.          0.
  0.7804878   0.73469388  0.15306122  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: 56.0824742268
f1 by class: [ 0.73417722  0.76470588  0.69512195  0.85365854  0.95833333  0.66666667
  0.          0.03571429  0.21498371  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.74509804  0.30188679
  0.63636364  0.          0.          0.72727273  0.96385542  0.          0.8
  0.09090909  0.          0.8974359   0.28571429  0.9         0.96666667
  0.57142857  0.975       0.        ]

session 7 test set:

accuracy: 56.3475899525
f1 by class: [ 0.7654321   0.83516484  0.67901235  0.88198758  0.97333333  0.68571429
  0.          0.          0.13157895  0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.80769231  0.19310345
  0.72340426  0.          0.          0.76470588  0.86956522  0.
  0.83636364  0.          0.          0.91358025  0.29967427  0.76923077
  0.96551724  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 59.3127147766
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.86419753  0.95890411  0.77777778
  0.          0.31707317  0.2371134   0.29530201  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.48484848  0.73469388  0.29602888
  0.57142857  0.          0.          0.72727273  0.96385542  0.
  0.80769231  0.09090909  0.          0.90243902  0.83333333  0.87179487
  0.98305085  0.58823529  0.97560976  0.        ]

session 8 test set:

accuracy: 56.8228105906
f1 by class: [ 0.77018634  0.8042328   0.67857143  0.88050314  0.96774194  0.75675676
  0.          0.15757576  0.02339181  0.15942029  0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.          0.625
  0.          0.          0.81818182  0.73469388  0.18571429  0.66666667
  0.          0.          0.73529412  0.86956522  0.          0.78431373
  0.          0.          0.90243902  0.90322581  0.72727273  0.95652174
  0.65882353  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  0.19680851  0.53658537  0.          0.
  0.73846154  0.89473684  0.          0.57142857  0.09090909  0.          0.8974359
  0.23404255  0.87179487  0.98305085  0.5952381   0.97619048  0.        ]

session 9 test set:

accuracy: 54.3109300747
f1 by class: [ 0.77987421  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   0.26330532  0.72727273
  0.95652174  0.64285714  0.96296296  0.        ]

averages over sessions
train accuracy: 58.7216494845
train f1 score: [ 0.74122581  0.73042813  0.67809115  0.83831886  0.9560377   0.79471861
  0.          0.16503504  0.20774731  0.15558974  0.11191276  0.9206312
  0.15174813  0.95756522  0.025       0.82364587  0.86522702  0.
  0.84515824  0.          0.          0.51249766  0.73233391  0.22492949
  0.62656994  0.02712572  0.0440225   0.7209218   0.89195813  0.13666522
  0.69638103  0.21570498  0.14486397  0.88895235  0.69771266  0.8776618
  0.96231822  0.57941787  0.96349091  0.        ]
test accuracy: 57.6849966056
test f1 score: [ 0.77676949  0.79967047  0.65552977  0.86957708  0.97220654  0.79201197
  0.          0.07274383  0.08568908  0.04070556  0.02649699  0.8908591
  0.07846791  0.9604608   0.          0.95534884  0.71625209  0.
  0.64642157  0.          0.          0.73930508  0.76211939  0.13756179
  0.71822997  0.00952381  0.02857143  0.72564248  0.82288708  0.05393499
  0.73455644  0.17600378  0.13173206  0.89800498  0.70561029  0.73750376
  0.95215243  0.6783119   0.9608166   0.        ]
