data source: ../topic-classification-data/vectors_x2
vector size: 4000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 41.9243986254
f1 by class: [ 0.53953488  0.61682243  0.21604938  0.74736842  0.95945946  0.08695652
  0.          0.          0.30097087  0.          0.          0.2         0.
  0.          0.          0.42857143  0.          0.          0.          0.
  0.          0.07692308  0.2         0.          0.          0.          0.
  0.15789474  0.75        0.          0.18181818  0.          0.
  0.85294118  0.56716418  0.75728155  0.84671533  0.48192771  0.92105263
  0.        ]

performance on test set:

accuracy: 42.1588594705
f1 by class: [ 0.57777778  0.69026549  0.21450151  0.77595628  0.96103896  0.          0.
  0.          0.27083333  0.          0.          0.          0.          0.
  0.          0.16666667  0.          0.          0.          0.          0.
  0.14814815  0.25806452  0.          0.          0.          0.
  0.20512821  0.82051282  0.          0.12121212  0.          0.
  0.74193548  0.6         0.74285714  0.82962963  0.45        0.89189189
  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 53.6082474227
f1 by class: [ 0.74509804  0.77777778  0.68456376  0.64        0.95774648  0.66666667
  0.          0.          0.25165563  0.          0.          0.875       0.
  0.95652174  0.          0.74285714  0.8372093   0.          0.75        0.
  0.          0.27586207  0.68181818  0.          0.5         0.          0.
  0.6875      0.89473684  0.15384615  0.57142857  0.25        0.
  0.90909091  0.72413793  0.84210526  0.928       0.59130435  0.975       0.        ]

session 0 test set:

accuracy: 55.5329260014
f1 by class: [ 0.77707006  0.84916201  0.66666667  0.63716814  0.95890411  0.68571429
  0.          0.          0.29299363  0.          0.          0.77419355
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.42857143  0.          0.          0.57142857  0.7826087   0.
  0.63636364  0.          0.          0.72727273  0.90697674  0.14473684
  0.59090909  0.09090909  0.          0.8974359   0.79661017  0.71232877
  0.93333333  0.67226891  0.975       0.        ]

session 1 training set:

accuracy: 63.2302405498
f1 by class: [ 0.73417722  0.77108434  0.65625     0.86419753  0.96503497  0.84210526
  0.          0.35616438  0.46153846  0.04651163  0.39344262  0.90909091
  0.19047619  0.95652174  0.          0.81081081  0.86363636  0.
  0.94736842  0.          0.          0.7804878   0.74509804  0.03508772
  0.69565217  0.          0.          0.72463768  0.94117647  0.34285714
  0.80769231  0.4         0.          0.8974359   0.71666667  0.84210526
  0.94308943  0.53608247  0.98795181  0.        ]

session 1 test set:

accuracy: 61.0319076714
f1 by class: [ 0.7804878   0.84444444  0.61702128  0.88050314  0.97297297  0.88372093
  0.          0.13        0.29223744  0.          0.33898305  0.94444444
  0.          1.          0.          0.95238095  0.76        0.
  0.77777778  0.          0.          0.82608696  0.80769231  0.03773585
  0.7755102   0.          0.          0.7826087   0.84536082  0.1875
  0.83018868  0.45714286  0.11111111  0.91358025  0.736       0.72222222
  0.94117647  0.66666667  0.95121951  0.        ]

session 2 training set:

accuracy: 64.5360824742
f1 by class: [ 0.75324675  0.72625698  0.65240642  0.8452381   0.95833333  0.84210526
  0.          0.53146853  0.56410256  0.04651163  0.36363636  0.90909091
  0.          1.          0.          0.9         0.85714286  0.
  0.88888889  0.          0.          0.68421053  0.74509804  0.29710145
  0.72340426  0.          0.          0.6984127   0.96385542  0.38028169
  0.82758621  0.25        0.          0.91566265  0.7706422   0.9
  0.93548387  0.58823529  0.98795181  0.        ]

session 2 test set:

accuracy: 61.7786829599
f1 by class: [ 0.77018634  0.8042328   0.6344086   0.88198758  0.98039216  0.88372093
  0.          0.1986755   0.41221374  0.          0.23076923  0.94444444
  0.          1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.80769231  0.24409449
  0.76        0.          0.          0.72727273  0.86315789  0.22900763
  0.83636364  0.09090909  0.11111111  0.89156627  0.80701754  0.75949367
  0.94117647  0.65882353  0.975       0.        ]

session 3 training set:

accuracy: 55.1202749141
f1 by class: [ 0.75816993  0.77380952  0.7030303   0.8452381   0.95833333  0.70588235
  0.          0.22535211  0.17061611  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.8372093   0.
  0.82352941  0.          0.          0.33333333  0.69565217  0.          0.5
  0.          0.          0.72727273  0.96385542  0.10714286  0.60465116
  0.09090909  0.          0.8974359   0.84848485  0.82666667  0.98305085
  0.5952381   0.975       0.        ]

session 3 test set:

accuracy: 55.7365919891
f1 by class: [ 0.77987421  0.83516484  0.6746988   0.87654321  0.96774194  0.68571429
  0.          0.11428571  0.16233766  0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.74418605  0.
  0.53333333  0.          0.          0.64864865  0.7826087   0.
  0.63636364  0.          0.          0.73529412  0.86956522  0.04081633
  0.65217391  0.          0.          0.8974359   0.87850467  0.62857143
  0.95652174  0.65060241  0.975       0.        ]

session 4 training set:

accuracy: 52.9896907216
f1 by class: [ 0.75816993  0.42528736  0.25945946  0.85365854  0.95774648  0.82608696
  0.          0.          0.26262626  0.          0.          0.875       0.
  0.95652174  0.          0.81818182  0.85714286  0.          0.66666667
  0.          0.          0.27586207  0.73469388  0.          0.57142857
  0.          0.          0.68852459  0.96385542  0.          0.53658537
  0.17391304  0.          0.90909091  0.81481481  0.85714286  0.98305085
  0.58139535  0.975       0.        ]

session 4 test set:

accuracy: 53.3604887984
f1 by class: [ 0.77987421  0.46567164  0.24647887  0.88198758  0.96644295  0.86956522
  0.          0.          0.20224719  0.          0.          0.77419355
  0.          0.95652174  0.          0.90909091  0.71428571  0.
  0.42857143  0.          0.          0.52941176  0.75        0.
  0.69565217  0.          0.          0.73846154  0.85106383  0.          0.45
  0.          0.          0.90909091  0.87912088  0.74358974  0.95652174
  0.65909091  0.975       0.        ]

session 5 training set:

accuracy: 65.5670103093
f1 by class: [ 0.75324675  0.74712644  0.68108108  0.85365854  0.96503497  0.77777778
  0.          0.39393939  0.61538462  0.56521739  0.4         0.90909091
  0.          1.          0.          0.81081081  0.87804878  0.
  0.88888889  0.          0.          0.64864865  0.74509804  0.32520325
  0.72340426  0.          0.          0.74626866  0.96385542  0.17857143
  0.80769231  0.17391304  0.          0.90909091  0.88172043  0.91358025
  0.95867769  0.57692308  0.98795181  0.        ]

session 5 test set:

accuracy: 60.8961303462
f1 by class: [ 0.77018634  0.82162162  0.62702703  0.88198758  0.96598639  0.78947368
  0.          0.17346939  0.38150289  0.11267606  0.25454545  0.94444444
  0.          1.          0.          0.95238095  0.68181818  0.
  0.70588235  0.          0.          0.81818182  0.80769231  0.22033898
  0.76        0.          0.          0.74626866  0.86956522  0.04166667
  0.81481481  0.09090909  0.          0.90909091  0.87378641  0.74358974
  0.94117647  0.68571429  0.975       0.        ]

session 6 training set:

accuracy: 66.4604810997
f1 by class: [ 0.75816993  0.72625698  0.68235294  0.8452381   0.96644295  0.84210526
  0.          0.3627907   0.59393939  0.30769231  0.31818182  0.97297297
  0.19047619  1.          0.          0.81081081  0.88372093  0.
  0.94736842  0.          0.          0.84444444  0.74509804  0.3490566
  0.66666667  0.          0.          0.73239437  0.96385542  0.50632911
  0.82758621  0.32        0.22222222  0.9047619   0.88421053  0.9
  0.93548387  0.58823529  0.975       0.        ]

session 6 test set:

accuracy: 62.7291242363
f1 by class: [ 0.775       0.8042328   0.67455621  0.87654321  0.96774194  0.87804878
  0.          0.19900498  0.36046512  0.08        0.14285714  0.97297297
  0.          0.96        0.          0.95238095  0.71111111  0.          0.9
  0.          0.          0.84        0.78431373  0.23148148  0.76        0.
  0.          0.75        0.85416667  0.23880597  0.83636364  0.38461538
  0.21052632  0.89156627  0.88461538  0.75949367  0.94017094  0.69230769
  0.975       0.        ]

session 7 training set:

accuracy: 54.5017182131
f1 by class: [ 0.75816993  0.75581395  0.71084337  0.85365854  0.96503497  0.66666667
  0.          0.12121212  0.29166667  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.75        0.23529412
  0.63636364  0.          0.          0.66666667  0.96385542  0.
  0.69565217  0.09090909  0.          0.8974359   0.18763326  0.9
  0.96666667  0.58426966  0.975       0.        ]

session 7 test set:

accuracy: 55.1934826884
f1 by class: [ 0.78481013  0.82162162  0.6746988   0.875       0.97297297  0.68571429
  0.          0.          0.32323232  0.          0.          0.8125      0.
  0.95652174  0.          0.95238095  0.74418605  0.          0.53333333
  0.          0.          0.7804878   0.76595745  0.16666667  0.72340426
  0.          0.          0.72131148  0.87912088  0.          0.68085106
  0.          0.          0.8974359   0.20302376  0.76923077  0.95726496
  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 50.7216494845
f1 by class: [ 0.77333333  0.78527607  0.65185185  0.8625      0.95833333  0.58064516
  0.          0.30976431  0.06349206  0.14552239  0.          0.8         0.
  0.91666667  0.          0.70588235  0.87804878  0.          0.57142857
  0.          0.          0.21428571  0.63636364  0.          0.46153846
  0.          0.          0.60377358  0.90666667  0.          0.33333333
  0.          0.          0.89189189  0.52307692  0.82666667  0.98275862
  0.57142857  0.975       0.        ]

session 8 test set:

accuracy: 49.6266123557
f1 by class: [ 0.79220779  0.84916201  0.59375     0.86624204  0.95172414  0.4137931   0.
  0.18348624  0.03174603  0.1237525   0.          0.59259259  0.
  0.90909091  0.          0.81081081  0.74418605  0.          0.42857143
  0.          0.          0.4375      0.7826087   0.          0.57142857
  0.          0.          0.70175439  0.90697674  0.          0.36842105
  0.          0.          0.89189189  0.64788732  0.63768116  0.95652174
  0.62337662  0.975       0.        ]

session 9 training set:

accuracy: 61.3745704467
f1 by class: [ 0.75816993  0.72131148  0.67039106  0.8502994   0.97297297  0.84210526
  0.          0.40425532  0.34343434  0.04651163  0.25641026  0.90909091
  0.19047619  1.          0.          0.87179487  0.88372093  0.
  0.88888889  0.          0.          0.7804878   0.73469388  0.20737327
  0.66666667  0.          0.          0.71428571  0.96385542  0.34375
  0.77777778  0.32        0.          0.9047619   0.79245283  0.91358025
  0.93548387  0.56818182  0.98765432  0.        ]

session 9 test set:

accuracy: 60.5566870333
f1 by class: [ 0.78980892  0.78756477  0.64444444  0.88198758  0.96774194  0.85714286
  0.          0.17283951  0.37254902  0.          0.05405405  0.94444444
  0.          1.          0.          0.95238095  0.71111111  0.
  0.70588235  0.          0.          0.82608696  0.73469388  0.20399113
  0.7755102   0.          0.          0.76056338  0.86956522  0.14285714
  0.83636364  0.17391304  0.          0.89156627  0.8440367   0.76923077
  0.93220339  0.66666667  0.975       0.        ]

averages over sessions
train accuracy: 58.8109965636
train f1 score: [ 0.75499518  0.72100009  0.63522302  0.83136868  0.96250138  0.75921466
  0.          0.27049469  0.36184561  0.1157967   0.17316711  0.89775184
  0.05714286  0.96992754  0.          0.80267042  0.8633023   0.
  0.81965576  0.          0.          0.51709557  0.72136139  0.14491164
  0.61451247  0.          0.          0.69897367  0.94895679  0.20127784
  0.67899854  0.20696443  0.02222222  0.90366588  0.71438404  0.87218472
  0.95517457  0.5781294   0.98015097  0.        ]
test accuracy: 57.644263408
test f1 score: [ 0.77995058  0.78828786  0.60537507  0.85399501  0.96726215  0.76326084
  0.          0.11717613  0.2831525   0.03164286  0.10212089  0.85527153
  0.          0.96951779  0.          0.93389493  0.72199752  0.
  0.61478058  0.          0.          0.70960143  0.78058681  0.11043086
  0.70942327  0.          0.          0.73908077  0.87155192  0.10253906
  0.68964495  0.12883986  0.04327485  0.89906604  0.75506028  0.72454319
  0.94560672  0.66568364  0.97262195  0.        ]
