data source: ../topic-classification-data/vectors_x2
vector size: 600

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 60.206185567
f1 by class: [ 0.69461078  0.7804878   0.51476793  0.84023669  0.95890411  0.81081081
  0.          0.275       0.27055703  0.04651163  0.05714286  0.90909091
  0.19047619  0.90909091  0.          0.87179487  0.86363636  0.
  0.88888889  0.          0.          0.64864865  0.82352941  0.26785714
  0.78431373  0.          0.05714286  0.77419355  0.95238095  0.08510638
  0.76        0.38461538  0.          0.88372093  0.79012346  0.87356322
  0.92682927  0.55639098  0.94252874  0.        ]

performance on test set:

accuracy: 59.606245757
f1 by class: [ 0.73863636  0.82608696  0.52542373  0.87654321  0.96153846  0.68571429
  0.          0.175       0.19834711  0.          0.          0.88235294
  0.0952381   0.90909091  0.          0.92682927  0.79166667  0.
  0.73684211  0.          0.          0.77272727  0.84        0.15384615
  0.78431373  0.          0.          0.70967742  0.88888889  0.
  0.85185185  0.09090909  0.          0.925       0.90322581  0.80952381
  0.95        0.58571429  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.          0.16358025  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  0.59047619  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: 56.2886597938
f1 by class: [ 0.75324675  0.72625698  0.67777778  0.85365854  0.95833333  0.77777778
  0.          0.16289593  0.17961165  0.          0.          0.90909091
  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  0.07843137
  0.63636364  0.35714286  0.          0.8974359   0.89361702  0.84210526
  0.95867769  0.54945055  0.98765432  0.        ]

session 1 test set:

accuracy: 57.5016972166
f1 by class: [ 0.77018634  0.8         0.61956522  0.88198758  0.98666667  0.78947368
  0.          0.13461538  0.13541667  0.          0.          0.94444444
  0.          1.          0.          0.95238095  0.7755102   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  0.73239437  0.94915254
  0.68085106  0.96296296  0.        ]

session 2 training set:

accuracy: 55.5326460481
f1 by class: [ 0.725       0.75144509  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        0.1682243   0.63636364
  0.          0.          0.70967742  0.92307692  0.29885057  0.63636364
  0.09090909  0.          0.8974359   0.64233577  0.87179487  0.98305085
  0.59615385  0.975       0.        ]

session 2 test set:

accuracy: 56.6191446029
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  0.1592233
  0.72340426  0.          0.          0.73846154  0.89655172  0.14925373
  0.70833333  0.          0.          0.8974359   0.60130719  0.72727273
  0.95652174  0.69902913  0.975       0.        ]

session 3 training set:

accuracy: 64.1924398625
f1 by class: [ 0.73417722  0.73446328  0.68263473  0.8255814   0.94736842  0.95238095
  0.          0.256       0.25        0.45070423  0.46875     0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.8         0.73469388  0.34210526
  0.63636364  0.11111111  0.28235294  0.70886076  0.85106383  0.27118644
  0.83333333  0.4137931   0.31578947  0.84444444  0.78504673  0.87179487
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 60.8282416836
f1 by class: [ 0.7826087   0.81283422  0.67065868  0.87654321  0.96774194  0.90909091
  0.          0.18723404  0.          0.11594203  0.07272727  0.97435897
  0.26086957  0.92307692  0.          0.97674419  0.73913043  0.
  0.85714286  0.          0.          0.79245283  0.76        0.10810811
  0.7755102   0.04651163  0.24242424  0.68965517  0.73214286  0.06779661
  0.88135593  0.45714286  0.36363636  0.87356322  0.77310924  0.72
  0.94017094  0.68        0.93975904  0.        ]

session 4 training set:

accuracy: 63.1615120275
f1 by class: [ 0.7388535   0.69892473  0.60301508  0.81142857  0.95364238  0.74074074
  0.          0.21538462  0.27436823  0.34375     0.4         0.94444444
  0.34782609  0.96        0.          0.88372093  0.88372093  0.
  0.94736842  0.          0.          0.82352941  0.73469388  0.29885057
  0.69387755  0.          0.          0.69230769  0.82474227  0.30508475
  0.72463768  0.09090909  0.56410256  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  0.56565657  0.8502994   0.96774194  0.76923077
  0.          0.03076923  0.19565217  0.03278689  0.          0.97297297
  0.0952381   0.88888889  0.          0.91304348  0.68085106  0.
  0.85714286  0.          0.          0.75        0.73469388  0.13043478
  0.76923077  0.          0.          0.69767442  0.73214286  0.0754717
  0.77142857  0.          0.42857143  0.87356322  0.77966102  0.775
  0.94117647  0.6875      0.93975904  0.        ]

session 5 training set:

accuracy: 64.1237113402
f1 by class: [ 0.725       0.71910112  0.68539326  0.81142857  0.95774648  0.95238095
  0.          0.22123894  0.25531915  0.43076923  0.44        0.97297297
  0.68965517  0.96        0.08333333  0.87804878  0.9047619   0.
  0.94736842  0.          0.          0.8         0.79245283  0.24817518
  0.70588235  0.07407407  0.05555556  0.72222222  0.84210526  0.35185185
  0.78125     0.32        0.52173913  0.91358025  0.84        0.92682927
  0.93548387  0.54368932  0.93181818  0.        ]

session 5 test set:

accuracy: 61.5071283096
f1 by class: [ 0.78313253  0.8         0.60869565  0.8452381   0.96598639  0.90909091
  0.          0.22748815  0.          0.03389831  0.08888889  0.97297297
  0.42857143  0.92307692  0.          0.97674419  0.68085106  0.
  0.85714286  0.          0.          0.79245283  0.81481481  0.15602837
  0.74509804  0.          0.          0.69135802  0.72566372  0.23529412
  0.79411765  0.46666667  0.48        0.91358025  0.82142857  0.75949367
  0.94214876  0.68627451  0.93975904  0.        ]

session 6 training set:

accuracy: 57.1134020619
f1 by class: [ 0.7388535   0.67346939  0.67901235  0.85365854  0.95833333  0.76923077
  0.          0.26666667  0.2125      0.          0.          0.92307692
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.38709677  0.73469388  0.20754717
  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.
  0.13071895  0.18125     0.          0.          0.95        0.          1.
  0.          0.95238095  0.71428571  0.          0.53333333  0.          0.
  0.7804878   0.73469388  0.14492754  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: 55.3951890034
f1 by class: [ 0.73417722  0.76470588  0.69512195  0.85365854  0.95833333  0.66666667
  0.          0.03571429  0.17867435  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.74509804  0.25
  0.63636364  0.          0.          0.72727273  0.96385542  0.          0.8
  0.09090909  0.          0.8974359   0.29431438  0.9         0.96666667
  0.57142857  0.975       0.        ]

session 7 test set:

accuracy: 56.2797012899
f1 by class: [ 0.7654321   0.83516484  0.67901235  0.88198758  0.97333333  0.68571429
  0.          0.          0.1257485   0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.80769231  0.1875
  0.72340426  0.          0.          0.76470588  0.86956522  0.
  0.83636364  0.          0.          0.91358025  0.31292517  0.76923077
  0.96551724  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 58.9003436426
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.86419753  0.95890411  0.77777778
  0.          0.27074236  0.23776224  0.30645161  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.27681661
  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: 57.2980312288
f1 by class: [ 0.77018634  0.8042328   0.67857143  0.88050314  0.96774194  0.75675676
  0.          0.17757009  0.04651163  0.16666667  0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.          0.625
  0.          0.          0.81818182  0.73469388  0.19016393  0.66666667
  0.          0.          0.73529412  0.86956522  0.          0.78431373
  0.          0.          0.90243902  0.89130435  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: [ 0.78481013  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   0.26256983  0.72727273
  0.95652174  0.64285714  0.96296296  0.        ]

averages over sessions
train accuracy: 58.0962199313
train f1 score: [ 0.74075218  0.73013682  0.67357122  0.83831886  0.9560377   0.77480667
  0.          0.14637305  0.17518159  0.15316751  0.130875    0.91742264
  0.15174813  0.95756522  0.00833333  0.82364587  0.86522702  0.
  0.84515824  0.          0.          0.50379456  0.73233391  0.19880056
  0.6189592   0.01851852  0.03379085  0.7209218   0.88786231  0.1305405
  0.70003715  0.20210059  0.14016312  0.88895235  0.6867017   0.8761966
  0.96231822  0.57880737  0.96349091  0.        ]
test accuracy: 57.7664630007
test f1 score: [ 0.77726308  0.79967047  0.65216499  0.86957708  0.97220654  0.77802596
  0.          0.08883959  0.08698223  0.03492939  0.01616162  0.8908591
  0.07846791  0.9604608   0.          0.95331985  0.71880311  0.
  0.64642157  0.          0.          0.73930508  0.76211939  0.12774442
  0.71822997  0.00465116  0.02424242  0.72564248  0.82223917  0.05278162
  0.73754107  0.17600378  0.12722078  0.89800498  0.69846597  0.73852097
  0.95215243  0.67909622  0.9608166   0.        ]
