data source: ../topic-classification-data/vectors_x2
vector size: 1000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 92.3711340206
f1 average: 0.923278352241
f1 by class: [ 0.89655172  0.88372093  0.87179487  0.91111111  0.90789474  0.91304348
  0.875       0.98181818  0.94214876  0.90909091  0.96969697  0.97142857
  0.94736842  0.90909091  0.97435897  0.9         0.97435897  0.92307692
  0.75        0.83333333  0.66666667  0.95833333  0.92857143  0.89090909
  0.98305085  0.89285714  0.91176471  0.94285714  0.97560976  0.92134831
  0.98305085  0.92682927  1.          0.89156627  0.95918367  0.90909091
  0.92561983  0.91666667  0.97560976  0.94545455]

performance on test set:

accuracy: 32.1113374067
f1 average: 0.289576807459
f1 by class: [ 0.34782609  0.39484979  0.36752137  0.50241546  0.52694611  0.07142857
  0.2         0.37735849  0.46666667  0.1627907   0.30555556  0.
  0.26666667  0.          0.          0.          0.14814815  0.          0.
  0.          0.          0.06060606  0.13333333  0.3         0.19230769
  0.29787234  0.14285714  0.1         0.53608247  0.21978022  0.05405405
  0.17647059  0.          0.46666667  0.37894737  0.25581395  0.50819672
  0.14736842  0.23880597  0.        ]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 93.4020618557
f1 average: 0.934141953498
f1 by class: [ 0.93333333  0.9010989   0.87741935  0.92655367  0.92        0.95454545
  0.94117647  0.97297297  0.96721311  0.96103896  0.93939394  0.875       1.
  0.95652174  0.97560976  0.88372093  0.97435897  0.96296296  0.88888889
  0.92307692  1.          0.91666667  1.          0.93069307  0.91803279
  0.96        0.95384615  0.94285714  0.96296296  0.925       0.94915254
  0.97560976  0.9375      0.94736842  0.94845361  0.91304348  0.9047619
  0.91836735  0.92134831  0.94339623]

session 0 test set:

accuracy: 31.6361167685
f1 average: 0.285738341472
f1 by class: [ 0.34567901  0.40552995  0.37234043  0.48927039  0.43478261  0.05714286
  0.18181818  0.44036697  0.41830065  0.14285714  0.25        0.          0.2962963
  0.          0.07142857  0.05555556  0.18181818  0.          0.          0.
  0.          0.16666667  0.09302326  0.27027027  0.18518519  0.05555556
  0.07692308  0.16666667  0.51612903  0.2295082   0.13043478  0.11428571
  0.48275862  0.4         0.37606838  0.31818182  0.42682927  0.18947368
  0.24691358  0.        ]

session 1 training set:

accuracy: 94.0206185567
f1 average: 0.940665911368
f1 by class: [ 0.92105263  0.92896175  0.91891892  0.91764706  0.92413793  0.89795918
  1.          0.94736842  0.97520661  1.          0.95522388  0.94444444
  0.95        0.95652174  0.97560976  0.9047619   0.97435897  0.88888889
  0.88888889  1.          1.          0.89795918  0.98181818  0.95918367
  0.94736842  0.98113208  0.98550725  0.95652174  0.82105263  0.95348837
  0.98360656  0.92307692  0.96774194  0.94444444  0.92783505  0.95555556
  0.95726496  0.93617021  0.93975904  0.92857143]

session 1 test set:

accuracy: 30.4820095044
f1 average: 0.277693791728
f1 by class: [ 0.36666667  0.3963964   0.36781609  0.50691244  0.4260355   0.05405405
  0.16666667  0.3697479   0.41059603  0.1038961   0.22580645  0.06896552
  0.48484848  0.          0.05263158  0.          0.12903226  0.          0.
  0.          0.          0.06451613  0.16666667  0.1980198   0.18181818
  0.05263158  0.15151515  0.10909091  0.4375      0.20289855  0.17021277
  0.14285714  0.4375      0.36619718  0.3826087   0.29885057  0.44604317
  0.18823529  0.23188406  0.        ]

averages over sessions
train accuracy: 93.7113402062
train f1 score: 0.937403932433
test accuracy: 31.0590631365
test f1 score: 0.2817160666
