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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 83.6426116838
f1 by class: [ 0.81818182  0.78481013  0.78321678  0.87654321  0.9352518   0.84444444
  0.88888889  0.9009009   0.85470085  0.975       0.95652174  0.75        0.95
  0.96        0.89473684  0.57142857  0.84210526  0.64        0.90909091
  0.73684211  0.71428571  0.93617021  0.87719298  0.65116279  0.91525424
  0.65714286  0.71794872  0.65060241  0.98765432  0.87912088  0.8125
  0.78431373  0.9375      0.94736842  0.9         0.85393258  0.96551724
  0.74418605  0.96202532  0.43478261]

performance on test set:

accuracy: 72.0298710115
f1 by class: [ 0.87671233  0.84269663  0.67096774  0.875       0.94520548  0.51162791
  0.55555556  0.86238532  0.67307692  0.91139241  0.8115942   0.5
  0.92682927  0.85714286  0.66666667  0.26415094  0.66666667  0.32
  0.47058824  0.08695652  0.375       0.89795918  0.52777778  0.4379562
  0.86206897  0.5         0.41860465  0.42352941  0.92857143  0.82608696
  0.75862069  0.52380952  0.875       0.84931507  0.75510204  0.68181818
  0.91803279  0.56        0.98765432  0.09302326]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 91.8900343643
f1 by class: [ 0.92413793  0.8972973   0.83018868  0.92045455  0.99319728  0.90909091
  1.          0.97297297  0.96        1.          0.98550725  0.97142857
  1.          1.          0.95238095  0.85        0.9         0.66666667
  1.          1.          0.66666667  0.92307692  0.96428571  0.87755102
  1.          0.77192982  0.8         0.78873239  1.          0.92473118
  0.92063492  0.93023256  1.          0.95        0.9375      0.91764706
  0.99159664  0.84        0.98795181  0.5       ]

session 0 test set:

accuracy: 75.6958587916
f1 by class: [ 0.8         0.81481481  0.70807453  0.87272727  0.96        0.66666667
  0.46153846  0.87179487  0.8         0.89156627  0.84615385  0.34482759
  0.90909091  1.          0.66666667  0.25806452  0.75        0.22222222
  0.6         0.18181818  0.5         0.84        0.61016949  0.5
  0.84745763  0.59375     0.24489796  0.43835616  0.8988764   0.81188119
  0.76470588  0.51282051  0.96969697  0.86363636  0.83168317  0.70588235
  0.95867769  0.65384615  0.95238095  0.        ]

session 1 training set:

accuracy: 91.7525773196
f1 by class: [ 0.92517007  0.88636364  0.83544304  0.9122807   0.91823899  0.90909091
  1.          0.98181818  0.96774194  1.          0.98550725  0.97297297
  1.          1.          1.          0.87179487  0.9         0.66666667
  1.          1.          0.66666667  0.94117647  0.96428571  0.9         1.
  0.76666667  0.77419355  0.77777778  0.98765432  0.95555556  0.92063492
  0.93023256  1.          0.98701299  0.95833333  0.91764706  0.98333333
  0.82352941  0.98795181  0.51282051]

session 1 test set:

accuracy: 75.7637474542
f1 by class: [ 0.77575758  0.82608696  0.7133758   0.86585366  0.91719745  0.63414634
  0.57142857  0.88695652  0.8         0.91358025  0.86842105  0.45714286
  0.90909091  1.          0.69767442  0.25806452  0.7804878   0.23529412
  0.6         0.22222222  0.25        0.85714286  0.56140351  0.47916667
  0.86206897  0.57142857  0.20408163  0.45070423  0.87912088  0.84848485
  0.77777778  0.52380952  0.96969697  0.89411765  0.84        0.73809524
  0.95081967  0.62385321  0.94117647  0.        ]

session 2 training set:

accuracy: 91.4089347079
f1 by class: [ 0.93793103  0.89655172  0.83544304  0.90588235  0.99319728  0.8         1.
  0.98181818  0.96774194  1.          0.98550725  0.91891892  1.          1.
  0.95        0.81081081  0.92307692  0.66666667  1.          0.93333333
  0.66666667  0.94117647  0.96428571  0.87128713  1.          0.76190476
  0.69444444  0.81690141  1.          0.94505495  0.90909091  0.93023256
  1.          0.97435897  0.95833333  0.88888889  0.98333333  0.81553398
  1.          0.5       ]

session 2 test set:

accuracy: 75.967413442
f1 by class: [ 0.7804878   0.83060109  0.69677419  0.87654321  0.95364238  0.66666667
  0.57142857  0.90265487  0.80645161  0.87804878  0.85714286  0.42424242
  0.95238095  1.          0.71794872  0.25806452  0.77777778  0.23529412
  0.6         0.2         0.5         0.85714286  0.60714286  0.47524752
  0.86206897  0.58461538  0.23728814  0.42857143  0.90909091  0.87755102
  0.76056338  0.53658537  0.96969697  0.86363636  0.83168317  0.74468085
  0.94308943  0.63636364  0.95238095  0.        ]

session 3 training set:

accuracy: 91.4776632302
f1 by class: [ 0.93150685  0.9017341   0.83333333  0.90909091  0.99319728  0.87804878
  1.          0.97297297  0.96        1.          0.98550725  0.91891892
  1.          1.          0.97560976  0.87179487  0.9         0.60869565
  1.          1.          0.5         0.92307692  0.93103448  0.87755102
  1.          0.74193548  0.76190476  0.8         1.          0.95555556
  0.9375      0.95238095  1.          0.96202532  0.95833333  0.82978723
  0.98333333  0.82352941  0.98795181  0.51282051]

session 3 test set:

accuracy: 75.5600814664
f1 by class: [ 0.79503106  0.82608696  0.71895425  0.86746988  0.95364238  0.63414634
  0.46153846  0.87931034  0.79365079  0.87804878  0.85714286  0.3125
  0.90909091  0.96        0.71428571  0.24242424  0.76923077  0.23529412
  0.6         0.36363636  0.5         0.84615385  0.60714286  0.5
  0.87719298  0.57142857  0.2         0.43478261  0.90909091  0.86597938
  0.73972603  0.5         0.96969697  0.87356322  0.84313725  0.65263158
  0.94308943  0.61818182  0.95238095  0.        ]

session 4 training set:

accuracy: 91.9587628866
f1 by class: [ 0.93055556  0.91011236  0.83870968  0.91954023  0.97986577  0.80769231
  1.          0.98181818  0.96774194  1.          0.98550725  0.97297297
  1.          1.          0.97560976  0.77777778  0.92307692  0.63636364
  1.          0.875       0.66666667  0.94117647  0.9         0.87755102
  1.          0.77966102  0.77966102  0.79487179  1.          0.94505495
  0.96774194  0.95238095  1.          0.96202532  0.94845361  0.93023256
  0.98333333  0.84848485  0.98795181  0.51282051]

session 4 test set:

accuracy: 75.967413442
f1 by class: [ 0.81528662  0.82608696  0.73333333  0.8452381   0.94736842  0.57142857
  0.53333333  0.90265487  0.8         0.88095238  0.85333333  0.46153846
  0.93023256  0.96        0.7         0.25        0.78947368  0.22222222
  0.52631579  0.          0.5         0.85714286  0.5483871   0.53465347
  0.86206897  0.59375     0.20833333  0.4109589   0.90909091  0.87755102
  0.80597015  0.48780488  0.96969697  0.87640449  0.84313725  0.74157303
  0.94308943  0.61538462  0.94117647  0.        ]

session 5 training set:

accuracy: 91.6151202749
f1 by class: [ 0.91390728  0.89655172  0.82278481  0.91764706  0.97986577  0.88888889
  1.          0.97297297  0.96        1.          0.98550725  0.91428571
  1.          1.          0.97560976  0.85        0.92307692  0.6         1.
  1.          0.66666667  0.94117647  0.96428571  0.86538462  1.
  0.77966102  0.78688525  0.8         1.          0.95555556  0.90625
  0.92682927  1.          0.9382716   0.94845361  0.93023256  0.98333333
  0.79245283  0.98795181  0.56410256]

session 5 test set:

accuracy: 76.0353021045
f1 by class: [ 0.79503106  0.83516484  0.72151899  0.87804878  0.93506494  0.73170732
  0.46153846  0.87931034  0.8         0.9         0.86842105  0.3125
  0.88888889  1.          0.71794872  0.3030303   0.70588235  0.23529412
  0.54545455  0.4         0.5         0.85714286  0.62295082  0.4952381
  0.86206897  0.58064516  0.25        0.42253521  0.90909091  0.86597938
  0.76056338  0.46153846  0.96969697  0.85393258  0.84        0.75268817
  0.94308943  0.61261261  0.96385542  0.        ]

session 6 training set:

accuracy: 91.4089347079
f1 by class: [ 0.94520548  0.875       0.83333333  0.9132948   0.97986577  0.85        1.
  0.97297297  0.9516129   1.          0.98550725  0.70588235  1.          1.
  0.94736842  0.87179487  0.92307692  0.63636364  1.          0.93333333
  0.5         0.94117647  0.96428571  0.88235294  1.          0.76190476
  0.80645161  0.7826087   1.          0.95555556  0.9375      0.95238095
  1.          0.96202532  0.95833333  0.90697674  0.98333333  0.82352941
  0.98765432  0.56410256]

session 6 test set:

accuracy: 76.3068567549
f1 by class: [ 0.78527607  0.82162162  0.73202614  0.85714286  0.94117647  0.66666667
  0.57142857  0.9122807   0.80645161  0.88095238  0.84210526  0.4
  0.90909091  1.          0.68421053  0.24242424  0.78947368  0.22222222
  0.6         0.22222222  0.5         0.85714286  0.60377358  0.50505051
  0.87719298  0.60606061  0.2745098   0.42424242  0.90909091  0.88421053
  0.78787879  0.55        0.96969697  0.87356322  0.84        0.73563218
  0.95867769  0.64814815  0.97560976  0.        ]

session 7 training set:

accuracy: 91.6151202749
f1 by class: [ 0.93877551  0.9017341   0.83544304  0.91954023  0.99319728  0.81081081
  1.          0.98181818  0.9516129   0.98765432  0.98550725  0.94736842
  1.          1.          0.97560976  0.85        0.89473684  0.63636364
  1.          0.93333333  0.5         0.92307692  0.98113208  0.90721649
  1.          0.81355932  0.78688525  0.78481013  1.          0.95555556
  0.96774194  0.92682927  1.          0.96202532  0.93877551  0.77669903
  0.98333333  0.84848485  0.97619048  0.51282051]

session 7 test set:

accuracy: 74.8811948405
f1 by class: [ 0.7804878   0.82608696  0.7133758   0.85714286  0.92307692  0.51428571
  0.5         0.90265487  0.8         0.86746988  0.85333333  0.3030303
  0.93023256  1.          0.69767442  0.3030303   0.72727273  0.22222222
  0.6         0.36363636  0.5         0.84        0.62745098  0.44210526
  0.84745763  0.58064516  0.24489796  0.39473684  0.88888889  0.84848485
  0.75757576  0.52631579  0.96969697  0.87640449  0.82352941  0.66037736
  0.93548387  0.60952381  0.95238095  0.        ]

session 8 training set:

accuracy: 91.5463917526
f1 by class: [ 0.92413793  0.89017341  0.83870968  0.9132948   0.99319728  0.88888889
  1.          0.9         0.96774194  1.          0.98550725  0.94736842
  1.          1.          1.          0.82926829  0.92307692  0.63636364
  1.          1.          0.66666667  0.94117647  0.98181818  0.86        1.
  0.77419355  0.8         0.77777778  1.          0.95555556  0.88888889
  0.93023256  1.          0.96202532  0.9375      0.91954023  0.99159664
  0.81553398  0.97619048  0.55      ]

session 8 test set:

accuracy: 75.967413442
f1 by class: [ 0.79012346  0.83516484  0.72847682  0.85542169  0.96        0.61904762
  0.46153846  0.828125    0.79069767  0.86746988  0.84210526  0.44444444
  0.90909091  0.96        0.71794872  0.35294118  0.78947368  0.23529412
  0.6         0.2         0.5         0.85714286  0.61818182  0.5
  0.87719298  0.57142857  0.21276596  0.42857143  0.91954023  0.85714286
  0.77142857  0.47368421  0.96969697  0.88636364  0.84848485  0.73333333
  0.95867769  0.61946903  0.95238095  0.        ]

session 9 training set:

accuracy: 91.8213058419
f1 by class: [ 0.93793103  0.89265537  0.82802548  0.92571429  0.99319728  0.90909091
  1.          0.96428571  0.96774194  1.          0.98550725  0.91891892
  1.          1.          0.97560976  0.87179487  0.92307692  0.60869565
  1.          0.93333333  0.66666667  0.94117647  0.93103448  0.86315789
  1.          0.75409836  0.79365079  0.80555556  1.          0.95555556
  0.92063492  0.95238095  1.          0.97435897  0.94845361  0.91954023
  0.99159664  0.84848485  0.9010989   0.51282051]

session 9 test set:

accuracy: 75.3564154786
f1 by class: [ 0.81012658  0.82162162  0.72727273  0.85542169  0.94736842  0.66666667
  0.46153846  0.87179487  0.8         0.87804878  0.83544304  0.36363636
  0.90909091  1.          0.69767442  0.20689655  0.66666667  0.22222222
  0.6         0.2         0.5         0.82352941  0.59016393  0.48421053
  0.86206897  0.55072464  0.20408163  0.42857143  0.90909091  0.875
  0.79411765  0.47368421  0.94117647  0.86363636  0.84        0.72916667
  0.93548387  0.63461538  0.87912088  0.        ]

averages over sessions
train accuracy: 91.6494845361
train f1 score: [ 0.93092587  0.89481737  0.83314141  0.91567399  0.981702    0.86516024
  1.          0.96834503  0.96219355  0.99876543  0.98550725  0.91890362
  1.          1.          0.97277982  0.84550364  0.91331984  0.63628458
  1.          0.96083333  0.61666667  0.93574661  0.95464478  0.87820521
  1.          0.77055148  0.77840767  0.79290355  0.99876543  0.950373
  0.92766184  0.93841126  1.          0.96341291  0.94924697  0.89371916
  0.98581232  0.82795636  0.97808932  0.52423077]
test accuracy: 75.7501697217
test f1 score: [ 0.7927608   0.82633366  0.71931826  0.863101    0.94385374  0.63714286
  0.50553114  0.88375373  0.79972517  0.88361374  0.85236019  0.38238624
  0.91562804  0.988       0.70120323  0.26749404  0.75457392  0.22875817
  0.58717703  0.23535354  0.475       0.84925404  0.59967669  0.4915672
  0.8636839   0.58044767  0.22808564  0.42620307  0.90409719  0.86122651
  0.77203074  0.5046243   0.96684492  0.87252584  0.83816551  0.71940608
  0.94701782  0.62719984  0.94628438  0.        ]
