data source: ../topic-classification-data/vectors_x2
vector size: 400

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 62.1993127148
f1 by class: [ 0.72049689  0.7804878   0.63874346  0.84023669  0.96551724  0.81081081
  0.          0.26966292  0.265625    0.13333333  0.20512821  0.90909091
  0.41666667  0.90909091  0.0952381   0.85        0.86363636  0.
  0.94736842  0.          0.          0.7804878   0.84615385  0.26890756
  0.83018868  0.          0.11111111  0.73846154  0.94117647  0.19607843
  0.76923077  0.5         0.11764706  0.88372093  0.83333333  0.87356322
  0.94214876  0.55384615  0.95348837  0.        ]

performance on test set:

accuracy: 60.9640190088
f1 by class: [ 0.76470588  0.83060109  0.60606061  0.87654321  0.96774194  0.75675676
  0.          0.17204301  0.21428571  0.          0.          0.88235294
  0.18181818  0.95652174  0.          0.92682927  0.79166667  0.          0.8
  0.          0.          0.8         0.80769231  0.22413793  0.80769231
  0.          0.          0.72727273  0.87912088  0.          0.89285714
  0.30769231  0.          0.925       0.89361702  0.79518072  0.95798319
  0.60740741  0.94117647  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: 56.1439239647
f1 by class: [ 0.78980892  0.84916201  0.67625899  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  0.8034188   0.72
  0.96551724  0.69230769  0.975       0.        ]

session 1 training set:

accuracy: 55.8075601375
f1 by class: [ 0.75324675  0.72625698  0.67403315  0.85365854  0.95833333  0.77777778
  0.          0.17627119  0.12903226  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  0.8         0.08
  0.63636364  0.35714286  0.          0.8974359   0.88421053  0.84210526
  0.95867769  0.54945055  0.98765432  0.        ]

session 1 test set:

accuracy: 56.8906992532
f1 by class: [ 0.77018634  0.8         0.61956522  0.88198758  0.98666667  0.78947368
  0.          0.113879    0.09646302  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: 55.3264604811
f1 by class: [ 0.725       0.75144509  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        0.18067227  0.63636364
  0.          0.          0.70967742  0.92307692  0.28571429  0.63636364
  0.09090909  0.          0.8974359   0.44221106  0.87179487  0.98305085
  0.59047619  0.975       0.        ]

session 2 test set:

accuracy: 56.3475899525
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  0.1589404
  0.72340426  0.          0.          0.73846154  0.89655172  0.14925373
  0.70833333  0.          0.          0.8974359   0.42990654  0.72727273
  0.95652174  0.69902913  0.975       0.        ]

session 3 training set:

accuracy: 63.0240549828
f1 by class: [ 0.73417722  0.73446328  0.68263473  0.8255814   0.94736842  0.95238095
  0.          0.38461538  0.23655914  0.40625     0.34567901  0.94736842
  0.48        0.96        0.          0.9         0.88372093  0.
  0.94736842  0.          0.          0.8         0.73469388  0.20588235
  0.63636364  0.16666667  0.26373626  0.70886076  0.85106383  0.16352201
  0.83333333  0.4137931   0.31578947  0.84444444  0.68852459  0.87179487
  0.93548387  0.58823529  0.93181818  0.        ]

session 3 test set:

accuracy: 60.5566870333
f1 by class: [ 0.7826087   0.81283422  0.67065868  0.87116564  0.96774194  0.90909091
  0.          0.14705882  0.          0.06666667  0.08108108  0.97435897
  0.26086957  0.92307692  0.          0.97674419  0.73913043  0.
  0.85714286  0.          0.          0.79245283  0.76        0.16666667
  0.7755102   0.09090909  0.25742574  0.6744186   0.73214286  0.11320755
  0.88135593  0.45714286  0.36363636  0.87356322  0.736       0.72
  0.94017094  0.68        0.93975904  0.        ]

session 4 training set:

accuracy: 63.0240549828
f1 by class: [ 0.7388535   0.69892473  0.59405941  0.81609195  0.95364238  0.85106383
  0.          0.21917808  0.25547445  0.33898305  0.40677966  0.94444444
  0.34782609  0.96        0.          0.88372093  0.88372093  0.
  0.94736842  0.          0.          0.82352941  0.73469388  0.28571429
  0.69387755  0.          0.          0.69230769  0.83333333  0.28571429
  0.72463768  0.09090909  0.57894737  0.84444444  0.7706422   0.89156627
  0.928       0.57425743  0.93181818  0.        ]

session 4 test set:

accuracy: 59.8778004073
f1 by class: [ 0.78527607  0.75247525  0.58031088  0.8502994   0.96774194  0.75471698
  0.          0.05970149  0.1697417   0.03389831  0.          0.97297297
  0.0952381   0.88888889  0.          0.91304348  0.68085106  0.
  0.85714286  0.          0.          0.75        0.73469388  0.11494253
  0.76923077  0.          0.          0.69767442  0.73214286  0.11320755
  0.72972973  0.          0.43902439  0.87356322  0.76666667  0.775
  0.94117647  0.6875      0.93975904  0.        ]

session 5 training set:

accuracy: 63.6426116838
f1 by class: [ 0.72049689  0.71910112  0.66304348  0.81142857  0.95774648  0.95238095
  0.          0.23899371  0.26890756  0.38709677  0.26845638  0.97297297
  0.68965517  0.96        0.08333333  0.87804878  0.9047619   0.
  0.94736842  0.          0.          0.8         0.79245283  0.24793388
  0.68        0.07407407  0.05555556  0.72222222  0.86021505  0.29850746
  0.78125     0.32        0.52173913  0.91358025  0.84848485  0.92682927
  0.93548387  0.54368932  0.93181818  0.        ]

session 5 test set:

accuracy: 60.4887983707
f1 by class: [ 0.78313253  0.8         0.60869565  0.8452381   0.96598639  0.90909091
  0.          0.12080537  0.016       0.03636364  0.17021277  0.97297297
  0.42857143  0.92307692  0.          0.97674419  0.68085106  0.
  0.85714286  0.          0.          0.79245283  0.81481481  0.15929204
  0.74509804  0.          0.          0.69135802  0.73214286  0.1
  0.77142857  0.46666667  0.48        0.91358025  0.82882883  0.75949367
  0.94214876  0.68627451  0.93975904  0.        ]

session 6 training set:

accuracy: 56.8384879725
f1 by class: [ 0.7388535   0.67346939  0.68322981  0.85365854  0.95833333  0.8         0.
  0.23913043  0.16487455  0.          0.          0.92307692  0.
  0.95652174  0.          0.81081081  0.85714286  0.          0.82352941
  0.          0.          0.33333333  0.73469388  0.25296443  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: 57.3659198914
f1 by class: [ 0.7654321   0.71698113  0.68322981  0.88198758  0.98013245  0.8         0.
  0.15853659  0.14705882  0.          0.          0.95        0.          1.
  0.          0.95238095  0.71428571  0.          0.53333333  0.          0.
  0.7804878   0.73469388  0.19672131  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: 55.5326460481
f1 by class: [ 0.73417722  0.76470588  0.69512195  0.85365854  0.95833333  0.66666667
  0.          0.03571429  0.18237082  0.          0.          0.90909091
  0.          0.95652174  0.          0.77777778  0.85714286  0.
  0.82352941  0.          0.          0.33333333  0.74509804  0.25675676
  0.63636364  0.          0.          0.72727273  0.96385542  0.          0.8
  0.09090909  0.          0.8974359   0.2962963   0.9         0.96666667
  0.57142857  0.975       0.        ]

session 7 test set:

accuracy: 56.4154786151
f1 by class: [ 0.77018634  0.83516484  0.67901235  0.88198758  0.97333333  0.68571429
  0.          0.          0.11912226  0.          0.          0.84848485
  0.          0.95652174  0.          0.95238095  0.72727273  0.
  0.53333333  0.          0.          0.7804878   0.80769231  0.21621622
  0.72340426  0.          0.          0.76470588  0.86956522  0.
  0.83636364  0.          0.          0.91358025  0.31724138  0.76923077
  0.96551724  0.68131868  0.975       0.        ]

session 8 training set:

accuracy: 58.4192439863
f1 by class: [ 0.75324675  0.72625698  0.66666667  0.86419753  0.95890411  0.77777778
  0.          0.2745098   0.19512195  0.24870466  0.          0.90909091
  0.          0.95652174  0.          0.81081081  0.85714286  0.
  0.82352941  0.          0.          0.4375      0.73469388  0.28363636
  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: 57.0264765784
f1 by class: [ 0.77018634  0.8042328   0.67857143  0.88050314  0.96774194  0.75675676
  0.          0.13846154  0.07734807  0.1734104   0.          0.84848485
  0.          1.          0.          0.95238095  0.71428571  0.          0.625
  0.          0.          0.81818182  0.73469388  0.17777778  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  0.19628647  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: 57.7869415808
train f1 score: [ 0.74030187  0.73013682  0.67048796  0.8387852   0.9560377   0.78891591
  0.          0.16041272  0.1595921   0.13810345  0.1020915   0.91742264
  0.15174813  0.95756522  0.00833333  0.82364587  0.86522702  0.
  0.84515824  0.          0.          0.49841821  0.73233391  0.19098468
  0.61637097  0.02407407  0.03192918  0.7209218   0.89360932  0.1113458
  0.70003715  0.20210059  0.1416476   0.88895235  0.65920727  0.8761966
  0.96231822  0.5782396   0.96349091  0.        ]
test accuracy: 57.5424304141
test f1 score: [ 0.7777385   0.79967047  0.65458965  0.86973809  0.97220654  0.77657458
  0.          0.07384428  0.08112685  0.0310339   0.02512938  0.8908591
  0.07846791  0.9604608   0.          0.95331985  0.71880311  0.
  0.64642157  0.          0.          0.73930508  0.76211939  0.13916151
  0.71822997  0.00909091  0.02574257  0.72411882  0.82288708  0.04756688
  0.73110228  0.17600378  0.12826608  0.89800498  0.67867934  0.73852097
  0.95215243  0.6783119   0.9608166   0.        ]
