data source: ../topic-classification-data/vectors_x2
vector size: 800

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 57.4570446735
f1 by class: [ 0.65909091  0.76646707  0.31578947  0.83529412  0.95238095  0.81081081
  0.          0.21917808  0.21917808  0.09090909  0.05714286  0.90909091
  0.19047619  0.8         0.          0.84210526  0.85        0.
  0.88888889  0.          0.          0.61111111  0.75        0.30769231
  0.73469388  0.          0.          0.75409836  0.95238095  0.          0.76
  0.17391304  0.          0.89411765  0.8         0.87912088  0.912
  0.55639098  0.92134831  0.        ]

performance on test set:

accuracy: 56.9585879158
f1 by class: [ 0.71823204  0.82608696  0.3047619   0.86585366  0.96153846  0.64705882
  0.          0.16901408  0.13215859  0.          0.          0.88235294
  0.          0.90909091  0.          0.92682927  0.76595745  0.
  0.70588235  0.          0.          0.76190476  0.81632653  0.07792208
  0.75        0.          0.          0.7         0.88888889  0.
  0.78431373  0.09090909  0.          0.925       0.9010989   0.8
  0.93442623  0.57142857  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.          0.18524333  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: 56.7697594502
f1 by class: [ 0.75324675  0.72625698  0.67777778  0.85365854  0.95833333  0.77777778
  0.          0.17948718  0.195       0.          0.          0.94117647
  0.          0.95652174  0.          0.81081081  0.8372093   0.
  0.88888889  0.          0.          0.57142857  0.73469388  0.
  0.63636364  0.          0.          0.74626866  0.76923077  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         0.61956522  0.88198758  0.98666667  0.78947368
  0.          0.14545455  0.16085791  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: 55.3264604811
f1 by class: [ 0.725       0.74712644  0.68674699  0.85365854  0.95833333  0.77777778
  0.          0.03508772  0.          0.          0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.          0.75
  0.          0.          0.33333333  0.75        0.18818381  0.63636364
  0.          0.          0.70967742  0.92307692  0.26086957  0.63636364
  0.09090909  0.          0.8974359   0.42307692  0.87179487  0.98305085
  0.59047619  0.975       0.        ]

session 2 test set:

accuracy: 56.2118126273
f1 by class: [ 0.77575758  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  0.15740741
  0.72340426  0.          0.          0.73846154  0.89655172  0.13333333
  0.70833333  0.          0.          0.8974359   0.40528634  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.          0.29015544  0.23655914  0.42253521  0.49315068  0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.8         0.73469388  0.34146341
  0.63636364  0.2173913   0.30612245  0.70886076  0.85106383  0.24242424
  0.83333333  0.4137931   0.31578947  0.84444444  0.85714286  0.87179487
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 60.6245756959
f1 by class: [ 0.7826087   0.81283422  0.67065868  0.87654321  0.96774194  0.90909091
  0.          0.16042781  0.          0.11940299  0.05797101  0.97435897
  0.26086957  0.92307692  0.          0.97674419  0.72340426  0.
  0.85714286  0.          0.          0.79245283  0.76        0.11290323
  0.7755102   0.09302326  0.22222222  0.6744186   0.73214286  0.08450704
  0.88135593  0.45714286  0.36363636  0.87356322  0.85981308  0.72
  0.94017094  0.68        0.93975904  0.        ]

session 4 training set:

accuracy: 63.9175257732
f1 by class: [ 0.7388535   0.69892473  0.67032967  0.81142857  0.95364238  0.68965517
  0.          0.22857143  0.27874564  0.4         0.45283019  0.94444444
  0.34782609  0.96        0.          0.88372093  0.88372093  0.
  0.94736842  0.          0.          0.82352941  0.73469388  0.38297872
  0.69387755  0.          0.          0.69230769  0.82474227  0.31034483
  0.71428571  0.09090909  0.61111111  0.84444444  0.75        0.89156627
  0.928       0.57425743  0.93181818  0.        ]

session 4 test set:

accuracy: 60.0814663951
f1 by class: [ 0.78527607  0.75247525  0.60869565  0.8502994   0.96774194  0.66666667
  0.          0.06060606  0.18637993  0.03773585  0.04081633  0.97297297
  0.0952381   0.88888889  0.          0.91304348  0.68085106  0.
  0.85714286  0.          0.          0.75        0.73469388  0.11111111
  0.76923077  0.          0.          0.69767442  0.73214286  0.06666667
  0.7826087   0.          0.45        0.87356322  0.75409836  0.775
  0.94117647  0.6875      0.93975904  0.        ]

session 5 training set:

accuracy: 64.6735395189
f1 by class: [ 0.725       0.71910112  0.66666667  0.81142857  0.95774648  0.95238095
  0.          0.28965517  0.29213483  0.44827586  0.3537415   0.97297297
  0.68965517  0.96        0.08333333  0.87804878  0.9047619   0.
  0.94736842  0.          0.          0.8         0.79245283  0.23668639
  0.70588235  0.07407407  0.10810811  0.72222222  0.84210526  0.33333333
  0.74626866  0.38461538  0.52173913  0.91358025  0.875       0.92682927
  0.93548387  0.54368932  0.93181818  0.        ]

session 5 test set:

accuracy: 61.1676849966
f1 by class: [ 0.78313253  0.8         0.61202186  0.8452381   0.96598639  0.90909091
  0.          0.16        0.02597403  0.07407407  0.15492958  0.97297297
  0.42857143  0.92307692  0.          0.97674419  0.68085106  0.
  0.85714286  0.          0.          0.79245283  0.81481481  0.18292683
  0.74509804  0.          0.          0.69135802  0.72566372  0.13333333
  0.77142857  0.46666667  0.48        0.91358025  0.85981308  0.75949367
  0.94214876  0.68627451  0.93975904  0.        ]

session 6 training set:

accuracy: 58.2130584192
f1 by class: [ 0.7388535   0.67346939  0.67901235  0.85365854  0.95833333  0.8         0.
  0.28571429  0.25770308  0.          0.          0.92307692  0.
  0.95652174  0.          0.81081081  0.85714286  0.          0.82352941
  0.          0.          0.38709677  0.73469388  0.27513228  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: 57.1622539036
f1 by class: [ 0.7654321   0.71698113  0.68322981  0.88198758  0.98013245  0.8         0.
  0.14388489  0.16901408  0.          0.          0.95        0.          1.
  0.          0.95238095  0.71428571  0.          0.53333333  0.          0.
  0.7804878   0.73469388  0.15053763  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: 55.6013745704
f1 by class: [ 0.73417722  0.76470588  0.69512195  0.85365854  0.95833333  0.66666667
  0.          0.03571429  0.19480519  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.74509804  0.25641026
  0.63636364  0.          0.          0.72727273  0.96385542  0.          0.8
  0.09090909  0.          0.8974359   0.28387097  0.9         0.96666667
  0.57142857  0.975       0.        ]

session 7 test set:

accuracy: 56.4154786151
f1 by class: [ 0.7654321   0.83516484  0.67901235  0.88198758  0.97333333  0.68571429
  0.          0.          0.13289037  0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.80769231  0.1986755
  0.72340426  0.          0.          0.76470588  0.86956522  0.
  0.83636364  0.          0.          0.91358025  0.30263158  0.76923077
  0.96551724  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 58.5567010309
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.86419753  0.95890411  0.77777778
  0.          0.26984127  0.24539877  0.28070175  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.25230769
  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.          0.17241379  0.0375      0.13924051  0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.          0.625
  0.          0.          0.81818182  0.73469388  0.17445483  0.66666667
  0.          0.          0.73529412  0.86956522  0.          0.78431373
  0.          0.          0.90243902  0.90322581  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: [ 0.77987421  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: 58.412371134
train f1 score: [ 0.74075218  0.72970496  0.67843002  0.83831886  0.9560377   0.77277504
  0.          0.16142268  0.18636749  0.15515128  0.12997224  0.9206312
  0.15174813  0.95756522  0.00833333  0.82364587  0.86522702  0.
  0.84515824  0.          0.          0.50379456  0.73233391  0.2129449
  0.6189592   0.02914654  0.04142306  0.7209218   0.88786231  0.1226972
  0.69550382  0.21570498  0.14486397  0.88895235  0.67444109  0.8761966
  0.96231822  0.57941787  0.96349091  0.        ]
test accuracy: 57.671418873
test f1 score: [ 0.77676949  0.79967047  0.65680152  0.87027584  0.97220654  0.76776955
  0.          0.08427871  0.08978596  0.03704534  0.02537169  0.8908591
  0.07846791  0.9604608   0.          0.95331985  0.71467947  0.
  0.64642157  0.          0.          0.73930508  0.76211939  0.12890747
  0.71822997  0.00930233  0.02222222  0.72411882  0.82223917  0.04178404
  0.73639017  0.17600378  0.12936364  0.89800498  0.6890528   0.73750376
  0.95215243  0.67909622  0.9608166   0.        ]
