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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 84.6048109966
f1 average: 0.843396413127
f1 by class: [ 0.82285714  0.84324324  0.71717172  0.80412371  0.83529412  0.84210526
  0.61538462  0.91262136  0.92436975  0.88607595  0.83333333  0.94117647
  0.84848485  0.85714286  0.78787879  0.74285714  0.75        0.72727273
  0.57142857  0.25        0.          0.80952381  0.96153846  0.92929293
  0.89655172  0.89361702  0.89552239  0.92537313  0.87058824  0.89156627
  0.78571429  0.83333333  0.66666667  0.925       0.92783505  0.81818182
  0.84615385  0.88659794  0.91139241  0.8627451 ]

performance on test set:

accuracy: 23.8968092329
f1 average: 0.203367113161
f1 by class: [ 0.31075697  0.39834025  0.23104693  0.32258065  0.36666667  0.          0.
  0.23376623  0.2962963   0.03278689  0.21428571  0.          0.          0.
  0.          0.          0.          0.          0.          0.          0.
  0.06666667  0.13333333  0.25531915  0.09090909  0.125       0.26086957
  0.07142857  0.42696629  0.12658228  0.          0.12903226  0.
  0.18390805  0.41584158  0.11627907  0.30065359  0.20408163  0.08823529
  0.05405405]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 66.6666666667
f1 average: 0.66053766287
f1 by class: [ 0.82051282  0.73239437  0.71515152  0.50920245  0.66326531  0.625
  0.36363636  0.79338843  0.82142857  0.68656716  0.72727273  0.43478261
  0.77419355  0.4         0.4         0.64705882  0.62068966  0.35294118
  0.          0.          0.          0.51428571  0.54054054  0.82
  0.81355932  0.51428571  0.77419355  0.47826087  0.80519481  0.65671642
  0.65217391  0.83333333  0.31578947  0.74626866  0.82222222  0.49180328
  0.54028436  0.76923077  0.77142857  0.48648649]

session 0 test set:

accuracy: 20.7739307536
f1 average: 0.16735746678
f1 by class: [ 0.24210526  0.35242291  0.22680412  0.24449878  0.31627907  0.          0.
  0.22900763  0.18018018  0.03921569  0.13043478  0.          0.09090909
  0.          0.          0.          0.          0.          0.          0.
  0.          0.          0.          0.14117647  0.16326531  0.
  0.20588235  0.          0.4556962   0.10909091  0.          0.14814815
  0.          0.12244898  0.37209302  0.10909091  0.25581395  0.20689655
  0.08955224  0.        ]

session 1 training set:

accuracy: 69.6219931271
f1 average: 0.694909273126
f1 by class: [ 0.78313253  0.70852018  0.75        0.77248677  0.43504532  0.625       0.5
  0.83185841  0.77419355  0.67647059  0.78125     0.71428571  0.77419355
  0.8         0.4         0.66666667  0.62068966  0.44444444  0.          0.
  0.          0.61111111  0.54054054  0.82352941  0.84745763  0.55555556
  0.8         0.83870968  0.75555556  0.69565217  0.63829787  0.25
  0.31578947  0.78481013  0.8         0.76404494  0.77966102  0.79569892
  0.8         0.44444444]

session 1 test set:

accuracy: 20.366598778
f1 average: 0.168700376033
f1 by class: [ 0.26086957  0.3255814   0.24210526  0.28037383  0.20722892  0.          0.
  0.24806202  0.20967742  0.04        0.16129032  0.          0.09090909
  0.          0.          0.          0.          0.          0.          0.
  0.          0.          0.          0.12195122  0.16393443  0.          0.1971831
  0.          0.4040404   0.03636364  0.          0.08695652  0.
  0.22535211  0.4047619   0.14814815  0.26771654  0.20289855  0.16129032
  0.        ]

averages over sessions
train accuracy: 68.1443298969
train f1 score: 0.677723467998
test accuracy: 20.5702647658
test f1 score: 0.168028921406
