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

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 90.9965635739
f1 by class: [ 0.84671533  0.80503145  0.83221477  0.87654321  0.97931034  1.          1.
  0.97297297  0.93442623  1.          1.          0.97142857  1.          0.96
  0.93023256  0.85714286  0.95        0.75862069  1.          1.          1.
  0.98039216  0.93103448  0.77310924  0.94915254  0.65789474  0.92537313
  0.85714286  1.          0.95555556  0.93333333  0.88888889  0.96774194
  0.98701299  0.94        0.96470588  0.97391304  0.9         1.
  0.62222222]

performance on test set:

accuracy: 80.7875084861
f1 by class: [ 0.89041096  0.81967213  0.74666667  0.86585366  0.96644295  0.84444444
  0.8         0.91071429  0.85964912  0.91139241  0.91428571  0.85714286
  0.92682927  0.96        0.61538462  0.54901961  0.87179487  0.32
  0.70588235  0.61538462  0.6         0.93877551  0.63492063  0.64233577
  0.9122807   0.53125     0.62686567  0.63291139  0.96470588  0.89361702
  0.77192982  0.72727273  0.90322581  0.93150685  0.88888889  0.83516484
  0.95798319  0.52631579  0.97560976  0.15789474]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 99.1065292096
f1 by class: [ 0.98666667  0.98395722  0.95483871  0.98305085  1.          0.97777778
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.88        1.          1.
  0.90909091  1.          1.          0.98989899  1.          1.          1.
  0.98550725  1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          0.92592593]

session 0 test set:

accuracy: 84.3856076035
f1 by class: [ 0.86486486  0.82051282  0.74534161  0.86206897  0.96688742  0.86363636
  0.8         0.92857143  0.85271318  0.95        0.97222222  0.97297297
  0.95        1.          0.76923077  0.88372093  0.9         0.34782609
  0.70588235  0.54545455  0.44444444  0.94117647  0.76923077  0.71559633
  0.94915254  0.48        0.75        0.82191781  0.93023256  0.92134831
  0.82539683  0.64705882  0.96969697  0.975       0.875       0.88095238
  0.93548387  0.64583333  0.96385542  0.22857143]

session 1 training set:

accuracy: 99.0378006873
f1 by class: [ 0.98666667  0.98924731  0.95483871  0.98305085  1.          0.97777778
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.95238095  1.          0.88        1.          1.
  0.90909091  1.          1.          0.98989899  1.          1.          1.
  1.          0.98765432  1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          0.90909091]

session 1 test set:

accuracy: 84.5892735913
f1 by class: [ 0.85526316  0.83157895  0.74358974  0.88505747  0.96052632  0.8         0.8
  0.94545455  0.91803279  0.9382716   0.97222222  0.91891892  0.95        1.
  0.78947368  0.9047619   0.92682927  0.4         0.625       0.54545455
  0.44444444  0.91666667  0.79365079  0.72072072  0.93103448  0.52830189
  0.68421053  0.83333333  0.91954023  0.91304348  0.8125      0.73684211
  0.96969697  0.975       0.88888889  0.89156627  0.92682927  0.63917526
  0.96385542  0.17647059]

session 2 training set:

accuracy: 99.0378006873
f1 by class: [ 0.99337748  0.99459459  0.95483871  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.95238095  1.          0.88        1.          1.
  0.90909091  1.          1.          1.          1.          0.98113208
  1.          0.98550725  1.          1.          1.          1.          1.
  1.          1.          1.          1.          0.9787234   1.
  0.90909091]

session 2 test set:

accuracy: 84.9287169043
f1 by class: [ 0.86666667  0.8342246   0.75641026  0.91017964  0.97333333  0.81818182
  0.8         0.92035398  0.88709677  0.9382716   0.97222222  0.89473684
  0.95        1.          0.81081081  0.95238095  0.87179487  0.36363636
  0.70588235  0.54545455  0.6         0.91666667  0.78125     0.72222222
  0.94915254  0.55172414  0.7027027   0.81690141  0.91954023  0.91304348
  0.81818182  0.73684211  0.96969697  0.975       0.90721649  0.86046512
  0.94214876  0.67326733  0.96385542  0.24390244]

session 3 training set:

accuracy: 99.1065292096
f1 by class: [ 0.99337748  0.99459459  0.95483871  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.88        1.          1.
  0.90909091  1.          1.          1.          1.          0.98113208
  1.          0.98550725  1.          1.          1.          1.          1.
  1.          1.          0.98876404  1.          1.          1.
  0.90909091]

session 3 test set:

accuracy: 84.5892735913
f1 by class: [ 0.8496732   0.84324324  0.72955975  0.88505747  0.97333333  0.8372093
  0.8         0.93693694  0.88        0.9382716   0.97222222  0.94736842
  0.95        1.          0.78947368  0.9         0.87179487  0.4
  0.66666667  0.4         0.44444444  0.91666667  0.79365079  0.72727273
  0.94915254  0.57142857  0.71052632  0.82191781  0.93023256  0.8988764
  0.81818182  0.75675676  0.96969697  0.975       0.88888889  0.85393258
  0.93442623  0.65957447  0.96385542  0.17647059]

session 4 training set:

accuracy: 99.175257732
f1 by class: [ 0.98666667  0.99459459  0.95483871  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.84615385  1.          1.
  0.90909091  1.          1.          0.98989899  1.          1.          1.
  0.98591549  1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          0.92592593]

session 4 test set:

accuracy: 84.3177189409
f1 by class: [ 0.86666667  0.82539683  0.7388535   0.87719298  0.96688742  0.8372093
  0.8         0.94545455  0.875       0.9382716   0.95890411  0.91891892
  0.97560976  1.          0.78947368  0.87179487  0.87179487  0.37037037
  0.625       0.76923077  0.44444444  0.91666667  0.78125     0.71559633
  0.94915254  0.52830189  0.69444444  0.8         0.94117647  0.91304348
  0.84375     0.78947368  0.96969697  0.975       0.86        0.86046512
  0.92682927  0.64583333  0.95238095  0.17647059]

session 5 training set:

accuracy: 99.0378006873
f1 by class: [ 0.98013245  0.99459459  0.95483871  0.98305085  1.          0.97777778
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          0.95454545  1.          0.84615385  1.          1.
  0.90909091  1.          1.          0.98989899  1.          0.98113208
  1.          0.98550725  1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.
  0.94339623]

session 5 test set:

accuracy: 84.4534962661
f1 by class: [ 0.8707483   0.84782609  0.75159236  0.89017341  0.96688742  0.81818182
  0.8         0.9122807   0.8976378   0.9382716   0.95890411  0.91891892
  0.95        1.          0.76923077  0.9         0.87179487  0.37037037
  0.625       0.54545455  0.44444444  0.91666667  0.78125     0.70909091
  0.93103448  0.60714286  0.71232877  0.82191781  0.91954023  0.92307692
  0.81818182  0.68571429  0.96969697  0.975       0.88        0.87058824
  0.912       0.65306122  0.95238095  0.125     ]

session 6 training set:

accuracy: 98.9003436426
f1 by class: [ 0.98666667  0.99459459  0.95483871  0.98305085  1.          1.          1.
  0.98214286  1.          1.          1.          0.94736842  1.          1.
  1.          0.95238095  1.          0.88        1.          1.
  0.90909091  0.98039216  1.          0.98989899  1.          0.98113208
  1.          0.98550725  1.          1.          1.          1.          1.
  0.98701299  0.98947368  1.          1.          1.          1.
  0.94339623]

session 6 test set:

accuracy: 84.3177189409
f1 by class: [ 0.86666667  0.8342246   0.74683544  0.875       0.96052632  0.86363636
  0.8         0.92035398  0.87096774  0.9382716   0.98591549  0.81818182
  0.95        1.          0.81081081  0.9         0.87179487  0.38461538
  0.58823529  0.22222222  0.44444444  0.93877551  0.79365079  0.7027027
  0.94915254  0.57142857  0.7012987   0.82857143  0.93023256  0.92307692
  0.85714286  0.72222222  0.96969697  0.975       0.87755102  0.87058824
  0.92682927  0.65957447  0.96385542  0.12121212]

session 7 training set:

accuracy: 99.0378006873
f1 by class: [ 0.98666667  0.98924731  0.95483871  0.98305085  1.          1.          1.
  0.99099099  1.          1.          1.          1.          1.          1.
  1.          0.95238095  1.          0.88        1.          1.
  0.90909091  1.          1.          0.98        1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97777778  1.          1.          1.          0.94339623]

session 7 test set:

accuracy: 84.0461642906
f1 by class: [ 0.86666667  0.83157895  0.73417722  0.88505747  0.95424837  0.8372093
  0.71428571  0.92035398  0.86614173  0.9382716   0.97222222  0.92307692
  0.95        1.          0.76923077  0.82926829  0.87179487  0.41666667
  0.625       0.66666667  0.44444444  0.91666667  0.83333333  0.72072072
  0.94915254  0.50980392  0.69333333  0.82191781  0.93023256  0.91111111
  0.79365079  0.72222222  0.96969697  0.975       0.88421053  0.84782609
  0.91935484  0.64583333  0.96385542  0.12121212]

session 8 training set:

accuracy: 99.0378006873
f1 by class: [ 0.98666667  0.99459459  0.95483871  0.98305085  1.          0.97777778
  1.          0.98214286  1.          1.          1.          1.          1.
  1.          1.          0.97674419  1.          0.84615385  1.          1.
  0.90909091  1.          1.          0.98989899  1.          1.          1.
  1.          1.          1.          1.          1.          1.
  0.98701299  0.98947368  1.          1.          1.          1.
  0.94339623]

session 8 test set:

accuracy: 83.978275628
f1 by class: [ 0.86486486  0.85714286  0.725       0.87861272  0.97333333  0.8         0.8
  0.92035398  0.87022901  0.9382716   0.94594595  0.91891892  0.95        1.
  0.76923077  0.87804878  0.87179487  0.37037037  0.70588235  0.54545455
  0.44444444  0.91666667  0.78125     0.70175439  0.94915254  0.55555556
  0.68571429  0.81081081  0.94117647  0.91111111  0.80645161  0.72222222
  0.96969697  0.975       0.85714286  0.86046512  0.93442623  0.63917526
  0.96385542  0.17142857]

session 9 training set:

accuracy: 99.0378006873
f1 by class: [ 0.98666667  0.99459459  0.95483871  0.98305085  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          0.97674419  1.          0.84615385  1.          1.
  0.90909091  1.          1.          0.98989899  1.          0.98113208
  1.          0.98550725  1.          1.          1.          1.
  0.96969697  1.          1.          1.          1.          0.98924731
  0.98795181  0.94339623]

session 9 test set:

accuracy: 84.1819416158
f1 by class: [ 0.86092715  0.84324324  0.74683544  0.88505747  0.96688742  0.8
  0.61538462  0.92857143  0.896       0.92682927  0.97222222  0.91891892
  0.95        1.          0.78947368  0.87179487  0.87179487  0.38461538
  0.625       0.54545455  0.44444444  0.91666667  0.78125     0.71559633
  0.94915254  0.57627119  0.71052632  0.80555556  0.93023256  0.91304348
  0.8125      0.68571429  1.          0.975       0.88659794  0.87058824
  0.91935484  0.65979381  0.94117647  0.06060606]

averages over sessions
train accuracy: 99.0515463918
train f1 score: [ 0.98735541  0.9924614   0.95483871  0.98305085  1.          0.99111111
  1.          0.99372587  1.          1.          1.          0.99473684
  1.          1.          1.          0.96943018  1.          0.86646154
  1.          1.          0.90909091  0.99803922  1.          0.99092929
  1.          0.99056604  1.          0.9898959   0.99876543  1.          1.
  1.          0.9969697   0.9974026   0.99789474  0.99665418  1.
  0.99679707  0.99879518  0.92961057]
test accuracy: 84.3788187373
test f1 score: [ 0.86330082  0.83689722  0.74181953  0.88334576  0.96628507  0.82752643
  0.77296703  0.92786855  0.8813819   0.93830021  0.9683003   0.91509316
  0.95256098  1.          0.78564394  0.88917706  0.88011882  0.3808471
  0.6497549   0.53308469  0.46        0.92132853  0.78897665  0.71512734
  0.94552893  0.54799586  0.70450854  0.81828438  0.92921364  0.91407747
  0.82059375  0.72050687  0.97272727  0.975       0.88054966  0.86674374
  0.92776826  0.65211218  0.95929263  0.16013445]
