Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [1.0, 0.696969696969697, 0.9393939393939394, 0.7575757575757576, 0.9393939393939394, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 1.0, 0.7272727272727273, 1.0, 0.8787878787878788, 1.0]
  mean: 0.9209595960, std: 0.1023754784
F1 Score: [1.0, 0.6826923076923077, 0.9388888888888889, 0.7518796992481203, 0.9379699248120301, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 1.0, 0.717948717948718, 1.0, 0.8730769230769231, 1.0]
  mean: 0.9184232058, std: 0.1063474735
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9979797980, std: 0.0075589038
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9979723502, std: 0.0075867707
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [1.0, 1.0, 1.0, 0.9393939393939394, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0]
  mean: 0.9919191919, std: 0.0173784349
F1 Score: [1.0, 1.0, 1.0, 0.9379699248120301, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0]
  mean: 0.9918093621, std: 0.0176852964
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.90625, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9854166667, std: 0.0320047739
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.906158357771261, 0.906158357771261, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9853859748, std: 0.0320446764
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.9375, 1.0, 0.59375, 0.71875, 0.9375, 0.8787878787878788, 0.9393939393939394, 0.7272727272727273, 0.9696969696969697, 0.9393939393939394, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9074494949, std: 0.1215797311
F1 Score: [0.9372549019607843, 1.0, 0.5588547189819725, 0.718475073313783, 0.9372549019607843, 0.8786764705882353, 0.9379699248120301, 0.717948717948718, 0.9692451071761417, 0.9379699248120301, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9042156663, std: 0.1285712421
Accuracy Intime: [1.0, 1.0, 1.0, 0.9166666666666666, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334]
  mean: 0.9777777778, std: 0.0477906959
F1 In Time: [1.0, 1.0, 1.0, 0.916083916083916, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285]
  mean: 0.9773826174, std: 0.0488524195
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.84375, 1.0, 0.96875, 1.0, 1.0, 0.90625, 0.90625, 0.9375, 1.0, 0.90625]
  mean: 0.9645833333, std: 0.0495640719
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8303287380699894, 1.0, 0.967967967967968, 1.0, 1.0, 0.906158357771261, 0.906158357771261, 0.9372549019607843, 1.0, 0.906158357771261]
  mean: 0.9636017788, std: 0.0518315472
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.625, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 1.0]
  mean: 0.9645833333, std: 0.0919031042
F1 Score: [0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.6, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0]
  mean: 0.9627233144, std: 0.0980553582
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.9375, 1.0, 1.0, 1.0, 0.9375, 1.0]
  mean: 0.9895833333, std: 0.0218501843
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774, 1.0, 1.0, 1.0, 0.9372549019607843, 1.0]
  mean: 0.9893630361, std: 0.0223038496
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.75]
  mean: 0.9666666667, std: 0.0732828109
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334]
  mean: 0.9651992452, std: 0.0771899766
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.96875, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.9375, 0.96875, 1.0, 1.0, 1.0, 0.9696969696969697, 0.9090909090909091]
  mean: 0.9815025253, std: 0.0269398408
F1 Score: [0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9352226720647774, 0.9684729064039409, 1.0, 1.0, 1.0, 0.9692451071761417, 0.905982905982906]
  mean: 0.9810579603, std: 0.0277861350
Accuracy Intime: [0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9801587302, std: 0.0420709787
F1 In Time: [0.9282051282051282, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9800954601, std: 0.0421597876
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9696969696969697, 1.0, 1.0, 0.9696969696969697, 1.0, 0.9090909090909091, 0.8484848484848485, 0.9696969696969697, 0.9090909090909091, 0.9090909090909091, 0.9393939393939394, 1.0, 1.0, 1.0, 0.9696969696969697]
  mean: 0.9595959596, std: 0.0451730905
F1 Score: [0.9692451071761417, 1.0, 1.0, 0.9692451071761417, 1.0, 0.9090909090909091, 0.847926267281106, 0.9695852534562213, 0.9090909090909091, 0.9090909090909091, 0.9379699248120301, 1.0, 1.0, 1.0, 0.9692451071761417]
  mean: 0.9593659663, std: 0.0452867276
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 0.84375]
  mean: 0.9794823232, std: 0.0388937054
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 1.0, 1.0, 1.0, 1.0, 0.8435972629521017]
  mean: 0.9793215199, std: 0.0389676278
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0]
  mean: 0.9944444444, std: 0.0207869855
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [1.0, 0.96875, 1.0, 0.625, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.96875, 1.0, 0.96875, 0.96875]
  mean: 0.9583333333, std: 0.0917613148
F1 Score: [1.0, 0.9684729064039409, 1.0, 0.6, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774, 0.967967967967968, 1.0, 0.967967967967968, 0.967967967967968]
  mean: 0.9563236256, std: 0.0978402696
Accuracy Intime: [1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9944444444, std: 0.0207869855
F1 In Time: [1.0, 1.0, 0.8991596638655461, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9932773109, std: 0.0251539992
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.96875, 0.84375, 1.0, 0.71875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8125, 1.0, 0.96875]
  mean: 0.9500000000, std: 0.0844713956
F1 Score: [0.9684729064039409, 0.8435972629521017, 1.0, 0.7117117117117118, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7922077922077921, 1.0, 0.967967967967968]
  mean: 0.9480808362, std: 0.0880426099
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 15
Accuracy Cross: [0.9375, 0.96875, 0.96875, 0.96875, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9854166667, std: 0.0193200385
F1 Score: [0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9850378300, std: 0.0198934934
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 16
Accuracy Cross: [1.0, 1.0, 1.0, 0.96875, 0.96875, 1.0, 1.0, 0.96875, 1.0, 0.96875, 0.9375, 0.84375, 0.96875, 0.90625, 0.84375]
  mean: 0.9583333333, std: 0.0518745817
F1 Score: [1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 0.9352226720647774, 0.8303287380699894, 0.967967967967968, 0.9015384615384616, 0.8303287380699894]
  mean: 0.9559518802, std: 0.0561935819
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 17
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182, 0.8484848484848485, 0.9393939393939394, 0.9696969696969697, 0.8787878787878788, 0.96875, 1.0, 0.9375, 0.9375, 0.90625]
  mean: 0.9469696970, std: 0.0581339650
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8166666666666667, 0.847926267281106, 0.9393382352941176, 0.9695852534562213, 0.8786764705882353, 0.967967967967968, 1.0, 0.9352226720647774, 0.9352226720647774, 0.9015384615384616]
  mean: 0.9461429778, std: 0.0586890586
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 18
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 19
Accuracy Cross: [0.90625, 0.9375, 0.8125, 1.0, 0.6875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.90625, 0.90625, 0.84375, 0.90625, 0.875]
  mean: 0.9187500000, std: 0.0867527617
F1 Score: [0.9054187192118226, 0.9365079365079365, 0.8, 1.0, 0.6536796536796536, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9015384615384616, 0.9015384615384616, 0.8303287380699894, 0.9015384615384616, 0.8666666666666667]
  mean: 0.9131478066, std: 0.0950141144
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9785714286, std: 0.0636209010
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 0.9282051282051282, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9774358974, std: 0.0676404878
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.78125, 0.96875, 1.0, 0.96875, 0.9375, 1.0, 1.0, 0.9375, 1.0, 0.96875, 0.9393939393939394, 0.9393939393939394, 0.9696969696969697, 0.8787878787878788, 0.9090909090909091]
  mean: 0.9465909091, std: 0.0559923144
F1 Score: [0.7810361681329423, 0.967967967967968, 1.0, 0.967967967967968, 0.9365079365079365, 1.0, 1.0, 0.9372549019607843, 1.0, 0.967967967967968, 0.9393382352941176, 0.9379699248120301, 0.9692451071761417, 0.8730769230769231, 0.905982905982906]
  mean: 0.9456210671, std: 0.0566024746
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 0.75, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9611111111, std: 0.0737027731
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 0.7333333333333334, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9596048396, std: 0.0775053330
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.90625, 0.875, 0.90625, 0.96875, 1.0, 0.96875, 0.96875, 1.0, 1.0, 1.0, 0.78125, 0.8125, 0.78125, 0.96875, 0.6875]
  mean: 0.9083333333, std: 0.0964653075
F1 Score: [0.9015384615384616, 0.8666666666666667, 0.9015384615384616, 0.967967967967968, 1.0, 0.967967967967968, 0.967967967967968, 1.0, 1.0, 1.0, 0.7793103448275862, 0.8117647058823529, 0.7793103448275862, 0.9684729064039409, 0.6761133603238867]
  mean: 0.9059079437, std: 0.0987192791
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9166666666666666]
  mean: 0.9833333333, std: 0.0333333333
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 0.916083916083916]
  mean: 0.9832167832, std: 0.0335664336
--------------------------------------------------
Subject Number: 22
Accuracy Cross: [1.0, 1.0, 0.96875, 1.0, 0.9375, 0.7272727272727273, 0.9696969696969697, 1.0, 1.0, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9674873737, std: 0.0695651499
F1 Score: [1.0, 1.0, 0.9684729064039409, 1.0, 0.9352226720647774, 0.717948717948718, 0.9695852534562213, 1.0, 1.0, 0.905982905982906, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9664808304, std: 0.0719510182
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334]
  mean: 0.9666666667, std: 0.0732828109
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285]
  mean: 0.9651992452, std: 0.0771899766
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.75, 0.4375, 0.90625, 0.78125, 0.9375, 0.9090909090909091, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.8787878787878788]
  mean: 0.9006313131, std: 0.1453851776
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.746031746031746, 0.30434782608695654, 0.906158357771261, 0.7793103448275862, 0.9372549019607843, 0.905982905982906, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.8730769230769231]
  mean: 0.8906598885, std: 0.1748020439
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334]
  mean: 0.9777777778, std: 0.0566557724
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285]
  mean: 0.9771428571, std: 0.0582745087
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9895833333, std: 0.0147313913
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9894909688, std: 0.0148620144
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 25
Accuracy Cross: [1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 1.0, 0.8125, 0.71875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9647095960, std: 0.0805866699
F1 Score: [1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 1.0, 1.0, 1.0, 0.8117647058823529, 0.7117117117117118, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9641311088, std: 0.0821120087
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9944444444, std: 0.0207869855
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
Subject Number: 26
Accuracy Cross: [1.0, 1.0, 0.9393939393939394, 0.9696969696969697, 1.0, 0.96875, 1.0, 0.96875, 1.0, 0.96875, 0.96875, 0.90625, 0.96875, 1.0, 0.90625]
  mean: 0.9710227273, std: 0.0310452044
F1 Score: [1.0, 1.0, 0.9393382352941176, 0.9695852534562213, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 0.967967967967968, 1.0, 0.9015384615384616]
  mean: 0.9701226834, std: 0.0323879611
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9888888889, std: 0.0283278862
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182, 0.8484848484848485, 0.9393939393939394, 0.9696969696969697, 0.8787878787878788, 0.96875, 1.0, 0.9375, 0.9375, 0.90625]
  mean: 0.9469696970, std: 0.0581339650
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8166666666666667, 0.847926267281106, 0.9393382352941176, 0.9695852534562213, 0.8786764705882353, 0.967967967967968, 1.0, 0.9352226720647774, 0.9352226720647774, 0.9015384615384616]
  mean: 0.9461429778, std: 0.0586890586
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 28
Accuracy Cross: [1.0, 0.96875, 1.0, 0.96875, 0.96875, 1.0, 0.96875, 1.0, 1.0, 0.9375, 0.4375, 0.4375, 0.4375, 0.4375, 0.625]
  mean: 0.8125000000, std: 0.2431349077
F1 Score: [1.0, 0.967967967967968, 1.0, 0.967967967967968, 0.967967967967968, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9352226720647774, 0.30434782608695654, 0.30434782608695654, 0.30434782608695654, 0.30434782608695654, 0.6]
  mean: 0.7749993858, std: 0.2994012754
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 29
Accuracy Cross: [1.0, 1.0, 1.0, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9938131313, std: 0.0168332280
F1 Score: [1.0, 1.0, 1.0, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9936538617, std: 0.0173533031
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9944444444, std: 0.0207869855
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
**************************************************
accuracy_cross_list: [1.0, 0.920959595959596, 0.997979797979798, 0.991919191919192, 0.9854166666666667, 0.907449494949495, 0.9645833333333333, 0.9645833333333333, 0.9895833333333334, 0.9815025252525251, 0.9595959595959597, 0.9794823232323232, 0.9583333333333334, 0.95, 0.9854166666666667, 0.9583333333333334, 0.946969696969697, 1.0, 0.91875, 0.946590909090909, 0.9083333333333333, 0.9674873737373737, 0.9006313131313131, 0.9895833333333334, 0.9647095959595959, 0.9710227272727273, 0.946969696969697, 0.8125, 0.9938131313131312]
f1_score_list: [1.0, 0.9184232058188501, 0.9979723502304148, 0.991809362114965, 0.9853859747964309, 0.9042156663340467, 0.9636017787541683, 0.9627233144474526, 0.989363036132902, 0.9810579602957098, 0.9593659662900339, 0.9793215199221874, 0.9563236256222272, 0.94808083621362, 0.9850378300227061, 0.9559518802217966, 0.9461429777948219, 1.0, 0.9131478065834302, 0.9456210671231792, 0.9059079437275231, 0.9664808303904376, 0.8906598884844392, 0.9894909688013136, 0.9641311087964232, 0.9701226834444736, 0.9461429777948219, 0.7749993857813633, 0.9936538617014]
accuracy_intime_list: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9777777777777777, 1.0, 1.0, 0.9666666666666667, 0.9801587301587301, 1.0, 0.9944444444444444, 0.9944444444444444, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9785714285714285, 0.961111111111111, 0.9833333333333332, 0.9666666666666667, 0.9777777777777779, 1.0, 0.9944444444444444, 0.9888888888888888, 1.0, 1.0, 0.9944444444444444]
f1_in_time_list: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9773826173826173, 1.0, 1.0, 0.9651992451992454, 0.9800954600954602, 1.0, 0.9944055944055944, 0.9932773109243698, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9774358974358975, 0.9596048396048397, 0.9832167832167833, 0.9651992451992454, 0.9771428571428572, 1.0, 0.9944055944055944, 0.9888111888111889, 1.0, 1.0, 0.9944055944055944]
**************************************************
Mean Accuracy: 0.9573275862
Mean F1: 0.9546598554
Std Accuracy: 0.0395170232
Std F1: 0.0453793542
Mean Accuracy (Intime): 0.9916803503
Std Accuracy (Intime): 0.0118794123
Mean F1 (Intime): 0.9913993872
Std F1 (Intime): 0.0123093535
ACC: 95.73±3.95
F1: 95.47±4.54
Intime: 99.17±1.19
F1 (Intime): 99.14±1.23
