data source: ../topic-classification-data/vectors_tf_idf
vector size: 5000

MULTINOMIAL NAIVE BAYES

performance on training set:

accuracy: 94.0206185567
f1 by class: [ 0.88235294  0.86060606  0.86451613  0.89156627  0.98630137  1.
  0.94117647  1.          0.97560976  0.98765432  1.          1.          1.
  1.          1.          1.          1.          0.76923077  1.          1.
  0.66666667  1.          0.98181818  0.8         1.          0.72222222
  0.98550725  0.92957746  1.          0.97674419  0.96551724  0.97674419
  1.          0.98701299  0.96907216  1.          0.99145299  0.90196078
  1.          0.81632653]

performance on test set:

accuracy: 81.6021724372
f1 by class: [ 0.81290323  0.81283422  0.72049689  0.8452381   0.98648649  0.9047619   0.
  0.89473684  0.816       0.81395349  0.93150685  0.8125      0.95
  0.85714286  0.64516129  0.66666667  0.78947368  0.          0.70588235
  0.4         0.          0.93617021  0.86206897  0.66197183  0.90909091
  0.5483871   0.76190476  0.72131148  0.97619048  0.90322581  0.84210526
  0.7804878   0.74074074  0.97435897  0.92929293  0.86315789  0.95081967
  0.6557377   0.95238095  0.30769231]

SUPPORT VECTOR MACHINE

session 0 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 0 test set:

accuracy: 88.7304820095
f1 by class: [ 0.89795918  0.81818182  0.76129032  0.87150838  0.96688742  0.93023256
  0.8         0.95495495  0.93548387  0.92682927  0.94285714  0.97297297
  0.97560976  1.          0.82051282  0.95238095  0.97674419  0.44444444
  0.9         1.          0.90909091  0.96        0.87719298  0.83495146
  0.96551724  0.52        0.83333333  0.8         0.96470588  0.95454545
  0.93333333  0.92682927  0.96969697  0.98734177  0.95833333  0.97674419
  0.96666667  0.73684211  0.96385542  0.44444444]

session 1 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 1 test set:

accuracy: 88.6625933469
f1 by class: [ 0.87417219  0.83076923  0.75641026  0.91428571  0.96688742  0.93023256
  0.8         0.94642857  0.92063492  0.9382716   0.97142857  0.97297297
  0.97560976  1.          0.87179487  0.95238095  0.95238095  0.46153846
  0.9         1.          0.92307692  0.96        0.89285714  0.80733945
  0.92857143  0.54901961  0.81081081  0.79411765  0.95348837  0.94382022
  0.9         0.92682927  0.96969697  0.98734177  0.96842105  0.97674419
  0.97478992  0.73913043  0.95238095  0.37209302]

session 2 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 2 test set:

accuracy: 88.7304820095
f1 by class: [ 0.88157895  0.83076923  0.75816993  0.90697674  0.96688742  0.93023256
  0.8         0.94642857  0.93548387  0.9382716   0.97142857  0.97297297
  0.97560976  1.          0.86486486  0.92682927  0.92307692  0.42857143
  0.9         0.94117647  1.          1.          0.83333333  0.81904762
  0.96551724  0.57692308  0.82857143  0.82352941  0.96470588  0.94382022
  0.91525424  0.89473684  0.96969697  0.98734177  0.94949495  0.95454545
  0.97478992  0.75247525  0.96385542  0.39130435]

session 3 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 3 test set:

accuracy: 88.1873727088
f1 by class: [ 0.88        0.82474227  0.75641026  0.9039548   0.96688742  0.93023256
  0.8         0.95495495  0.928       0.92682927  0.95774648  0.97297297
  0.97560976  1.          0.84210526  0.92682927  0.97560976  0.46153846
  0.9         0.94117647  0.6         0.96        0.81967213  0.80733945
  0.92857143  0.53846154  0.81081081  0.8115942   0.96470588  0.94382022
  0.91525424  0.87179487  0.96969697  0.98734177  0.95833333  0.96551724
  0.97478992  0.7173913   0.96385542  0.40909091]

session 4 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 4 test set:

accuracy: 88.5268160217
f1 by class: [ 0.88590604  0.82901554  0.75        0.90697674  0.96688742  0.95652174
  0.8         0.95495495  0.944       0.91358025  0.95774648  0.97297297
  0.97560976  1.          0.87804878  0.92682927  0.95        0.44444444
  0.9         0.94117647  0.66666667  0.97959184  0.87719298  0.81481481
  0.94736842  0.53846154  0.81081081  0.81690141  0.96470588  0.94382022
  0.91525424  0.92682927  0.96969697  0.98734177  0.94845361  0.96551724
  0.96666667  0.7173913   0.96385542  0.38095238]

session 5 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 5 test set:

accuracy: 88.3910386965
f1 by class: [ 0.87248322  0.82051282  0.74683544  0.9122807   0.96688742  0.93023256
  0.8         0.94642857  0.944       0.925       0.97142857  0.97297297
  0.97560976  1.          0.8         0.95238095  0.89473684  0.51851852
  0.9         0.94117647  0.90909091  0.97959184  0.86206897  0.82568807
  0.93103448  0.50980392  0.82191781  0.78787879  0.97619048  0.94382022
  0.91525424  0.9         0.96969697  0.98734177  0.95918367  0.94382022
  0.97478992  0.74226804  0.95238095  0.44444444]

session 6 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 6 test set:

accuracy: 88.6625933469
f1 by class: [ 0.87417219  0.83076923  0.74683544  0.90697674  0.96688742  0.93023256
  0.8         0.95495495  0.93548387  0.92682927  0.95774648  0.92307692
  0.97560976  1.          0.86486486  0.93023256  0.95238095  0.51851852
  0.9         1.          0.90909091  0.96        0.87719298  0.82242991
  0.92857143  0.54901961  0.82191781  0.8115942   0.96470588  0.95454545
  0.93333333  0.9         0.96969697  0.98734177  0.94845361  0.97674419
  0.97478992  0.72340426  0.96385542  0.43478261]

session 7 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 7 test set:

accuracy: 88.0515953836
f1 by class: [ 0.88590604  0.82233503  0.75159236  0.90285714  0.96688742  0.93023256
  0.71428571  0.95495495  0.928       0.92682927  0.95774648  0.97297297
  0.97560976  1.          0.87179487  0.93023256  0.92307692  0.34782609
  0.9         0.94117647  0.8         0.96        0.89285714  0.8
  0.94736842  0.52        0.8         0.79411765  0.97619048  0.95555556
  0.91525424  0.87179487  0.96969697  0.98734177  0.93877551  0.91304348
  0.96666667  0.72527473  0.96385542  0.40909091]

session 8 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 8 test set:

accuracy: 88.4589273591
f1 by class: [ 0.86842105  0.83505155  0.75641026  0.9017341   0.96688742  0.93023256
  0.8         0.95495495  0.92682927  0.92682927  0.95774648  0.97297297
  0.97560976  1.          0.84210526  0.95238095  0.97560976  0.4375      0.9
  0.94117647  0.90909091  0.96        0.86206897  0.83018868  0.92857143
  0.52        0.81081081  0.81690141  0.96470588  0.96629213  0.91525424
  0.9         0.96969697  0.98734177  0.93877551  0.97674419  0.96610169
  0.7311828   0.96385542  0.40909091]

session 9 training set:

accuracy: 99.9312714777
f1 by class: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]

session 9 test set:

accuracy: 88.2552613714
f1 by class: [ 0.88        0.82051282  0.76129032  0.89655172  0.96688742  0.90909091
  0.8         0.95495495  0.92682927  0.92682927  0.97142857  0.97297297
  0.97560976  1.          0.87179487  0.92682927  0.95        0.44444444
  0.9         0.94117647  1.          0.96        0.83333333  0.82242991
  0.94736842  0.50980392  0.82191781  0.78873239  0.95348837  0.95555556
  0.91525424  0.84210526  0.96969697  0.98734177  0.94845361  0.95454545
  0.97478992  0.75268817  0.95238095  0.37209302]

averages over sessions
train accuracy: 99.9312714777
train f1 score: [ 1.          1.          1.          0.99428571  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          0.96296296  1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.          1.          1.
  1.          1.          1.          1.          1.        ]
test accuracy: 88.4657162254
test f1 score: [ 0.88005989  0.82626595  0.75452446  0.90241028  0.96688742  0.93074731
  0.79142857  0.95239704  0.93247451  0.92760991  0.96173038  0.96798337
  0.97560976  1.          0.85278865  0.9377306   0.94736163  0.45073448
  0.9         0.95882353  0.86261072  0.96791837  0.862777    0.81842294
  0.94184599  0.53314932  0.81709014  0.80453671  0.9647593   0.95055953
  0.91734463  0.89609197  0.96969697  0.98734177  0.95166782  0.96039658
  0.97148412  0.73380484  0.96041308  0.4067387 ]
