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: [0.9393939393939394, 0.9393939393939394, 0.9696969696969697, 1.0, 0.9696969696969697, 0.96875, 0.96875, 0.9375, 0.90625, 0.96875, 1.0, 1.0, 0.9090909090909091, 0.8787878787878788, 0.8787878787878788]
  mean: 0.9489898990, std: 0.0395191935
F1 Score: [0.9393382352941176, 0.9388888888888889, 0.9695852534562213, 1.0, 0.9692451071761417, 0.9684729064039409, 0.9684729064039409, 0.9365079365079365, 0.9039039039039038, 0.9684729064039409, 1.0, 1.0, 0.905982905982906, 0.8730769230769231, 0.8730769230769231]
  mean: 0.9476683198, std: 0.0412407485
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, 1.0]
  mean: 0.9888888889, std: 0.0283278862
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, 1.0]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 3
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: 4
Accuracy Cross: [1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959595960, std: 0.0103010495
F1 Score: [1.0, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959220240, std: 0.0103970250
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, 0.90625, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9875000000, std: 0.0318688720
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.906158357771261, 0.906158357771261, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9874877810, std: 0.0319000243
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: [0.96875, 0.53125, 0.71875, 0.875, 0.875, 1.0, 1.0, 0.9696969696969697, 1.0, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9231691919, std: 0.1295357937
F1 Score: [0.967967967967968, 0.4684385382059801, 0.7117117117117118, 0.8745098039215686, 0.875, 1.0, 1.0, 0.9695852534562213, 1.0, 0.9087557603686636, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9183979357, std: 0.1431627698
Accuracy Intime: [1.0, 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]
  mean: 0.9888888889, std: 0.0283278862
F1 In Time: [1.0, 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]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.875, 0.90625, 0.9375, 0.9375, 0.9375]
  mean: 0.9708333333, std: 0.0402897492
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 0.875, 0.906158357771261, 0.9372549019607843, 0.9372549019607843, 0.9372549019607843]
  mean: 0.9707260688, std: 0.0403432779
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: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.96875]
  mean: 0.9916666667, std: 0.0138192700
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 0.967967967967968, 0.967967967967968]
  mean: 0.9914917874, std: 0.0141097262
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: [0.90625, 1.0, 0.90625, 1.0, 0.9375, 0.96875, 1.0, 1.0, 0.96875, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9729166667, std: 0.0376155627
F1 Score: [0.9015384615384616, 1.0, 0.9015384615384616, 1.0, 0.9352226720647774, 0.967967967967968, 1.0, 1.0, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9717182662, std: 0.0394414173
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, 0.9166666666666666]
  mean: 0.9833333333, std: 0.0451335467
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, 0.916083916083916]
  mean: 0.9829770230, std: 0.0462478382
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9375, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 1.0, 0.875, 0.9696969696969697, 1.0, 0.9090909090909091, 1.0, 1.0]
  mean: 0.9752525253, std: 0.0378422593
F1 Score: [0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 1.0, 0.8666666666666667, 0.9695852534562213, 1.0, 0.905982905982906, 1.0, 1.0]
  mean: 0.9744290361, std: 0.0397146473
Accuracy Intime: [0.7857142857142857, 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: 0.9857142857, std: 0.0534522484
F1 In Time: [0.7846153846153847, 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: 0.9856410256, std: 0.0537263625
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9696969696969697, 0.9696969696969697, 1.0, 0.9393939393939394, 0.9696969696969697, 1.0, 0.8787878787878788, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9777777778, std: 0.0321967221
F1 Score: [0.9692451071761417, 0.9692451071761417, 1.0, 0.9379699248120301, 0.9692451071761417, 1.0, 0.8786764705882353, 0.9695852534562213, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9775701483, std: 0.0323608397
Accuracy Intime: [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, 1.0]
  mean: 0.9944444444, std: 0.0207869855
F1 In Time: [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, 1.0]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [1.0, 1.0, 1.0, 0.9375, 1.0, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9090909090909091, 0.84375, 1.0, 0.84375, 1.0, 0.875]
  mean: 0.9525252525, std: 0.0556711521
F1 Score: [1.0, 1.0, 1.0, 0.9352226720647774, 1.0, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.905982905982906, 0.8435972629521017, 1.0, 0.8435972629521017, 1.0, 0.875]
  mean: 0.9520253688, std: 0.0558831660
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: [0.96875, 0.9375, 0.96875, 0.9375, 0.96875, 0.9696969696969697, 1.0, 0.9696969696969697, 1.0, 0.696969696969697, 1.0, 0.9375, 0.96875, 0.96875, 0.9375]
  mean: 0.9486742424, std: 0.0705486704
F1 Score: [0.9684729064039409, 0.9372549019607843, 0.9684729064039409, 0.9372549019607843, 0.9684729064039409, 0.9692451071761417, 1.0, 0.9695852534562213, 1.0, 0.6826923076923077, 1.0, 0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.9352226720647774]
  mean: 0.9471888314, std: 0.0739458690
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: 14
Accuracy Cross: [0.9375, 1.0, 1.0, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 0.96875, 1.0]
  mean: 0.9854166667, std: 0.0224381867
F1 Score: [0.9352226720647774, 1.0, 1.0, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 0.967967967967968, 1.0]
  mean: 0.9850920985, std: 0.0229165441
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, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9833333333, std: 0.0276385399
F1 Score: [0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9827110025, std: 0.0288505211
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, 1.0, 1.0, 0.9375, 0.96875, 1.0, 0.96875, 0.875, 0.96875, 0.84375, 0.84375, 0.84375]
  mean: 0.9479166667, std: 0.0610953262
F1 Score: [1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9372549019607843, 0.9684729064039409, 1.0, 0.967967967967968, 0.8666666666666667, 0.967967967967968, 0.8303287380699894, 0.8303287380699894, 0.8303287380699894]
  mean: 0.9445193021, std: 0.0663064282
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, 1.0, 0.8181818181818182, 1.0, 1.0, 0.8181818181818182, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9757575758, std: 0.0618062971
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8166666666666667, 1.0, 1.0, 0.8166666666666667, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9755555556, std: 0.0623213496
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: [0.59375, 0.90625, 1.0, 0.96875, 0.59375, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.90625, 0.90625, 0.90625, 0.84375, 0.875]
  mean: 0.8958333333, std: 0.1284252917
F1 Score: [0.5134502923976608, 0.9054187192118226, 1.0, 0.9684729064039409, 0.5134502923976608, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616, 0.8303287380699894, 0.8666666666666667]
  mean: 0.8825083781, std: 0.1540958219
Accuracy Intime: [1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9785714286, std: 0.0468590140
F1 In Time: [1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 0.9282051282051282, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9781906982, std: 0.0479231908
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.78125, 0.875, 0.6875, 0.96875, 0.90625, 1.0, 1.0, 1.0, 0.96875, 0.9375, 0.9090909090909091, 0.9696969696969697, 0.9090909090909091, 0.9696969696969697, 0.8484848484848485]
  mean: 0.9154040404, std: 0.0855400173
F1 Score: [0.7793103448275862, 0.875, 0.6761133603238867, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9352226720647774, 0.9090909090909091, 0.9692451071761417, 0.905982905982906, 0.9692451071761417, 0.8390243902439025]
  mean: 0.9130809422, std: 0.0882145023
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 0.8333333333333334, 1.0, 1.0, 1.0, 0.75, 0.5833333333333334, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334]
  mean: 0.9166666667, std: 0.1290994449
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 0.8285714285714285, 1.0, 1.0, 1.0, 0.7333333333333334, 0.5804195804195804, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285]
  mean: 0.9136152736, std: 0.1329437592
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.90625, 0.90625, 1.0, 0.96875, 0.90625, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.875, 1.0, 0.78125, 1.0, 0.75]
  mean: 0.9354166667, std: 0.0786165094
F1 Score: [0.9015384615384616, 0.9015384615384616, 1.0, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.875, 1.0, 0.7793103448275862, 1.0, 0.746031746031746]
  mean: 0.9339914171, std: 0.0798205457
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: 22
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 0.90625, 0.696969696969697, 0.696969696969697, 0.7272727272727273, 0.6363636363636364, 0.8787878787878788, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9028409091, std: 0.1346970443
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.9015384615384616, 0.6898496240601504, 0.6826923076923077, 0.717948717948718, 0.6071428571428572, 0.8730769230769231, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.8981499261, std: 0.1416497244
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, 1.0]
  mean: 0.9888888889, std: 0.0415739710
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, 1.0]
  mean: 0.9885714286, std: 0.0427617987
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.5, 0.96875, 0.875, 0.5625, 0.8181818181818182, 1.0, 0.9393939393939394, 0.8787878787878788, 0.8787878787878788]
  mean: 0.8905934343, std: 0.1524210869
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9372549019607843, 0.4181818181818182, 0.967967967967968, 0.875, 0.5151515151515151, 0.8166666666666667, 1.0, 0.9379699248120301, 0.8786764705882353, 0.8730769230769231]
  mean: 0.8813297459, std: 0.1734410020
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, 0.75]
  mean: 0.9777777778, std: 0.0643102050
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, 0.7333333333333334]
  mean: 0.9766278166, std: 0.0682930626
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9916666667, std: 0.0138192700
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9915927750, std: 0.0139418054
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, 0.9696969696969697, 1.0, 1.0, 0.9393939393939394, 0.9375, 1.0, 0.9375, 0.96875, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0]
  mean: 0.9814393939, std: 0.0247515007
F1 Score: [1.0, 0.9692451071761417, 1.0, 1.0, 0.9379699248120301, 0.9372549019607843, 1.0, 0.9372549019607843, 0.9684729064039409, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0]
  mean: 0.9812447099, std: 0.0250053194
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: 26
Accuracy Cross: [1.0, 1.0, 1.0, 0.9696969696969697, 0.9393939393939394, 1.0, 0.96875, 1.0, 0.96875, 0.96875, 0.9375, 0.96875, 0.96875, 0.90625, 0.96875]
  mean: 0.9710227273, std: 0.0265214639
F1 Score: [1.0, 1.0, 1.0, 0.9695852534562213, 0.9393382352941176, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 0.967967967967968, 0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 0.967967967967968]
  mean: 0.9703001538, std: 0.0275155591
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: 27
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182, 1.0, 1.0, 0.8181818181818182, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9757575758, std: 0.0618062971
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8166666666666667, 1.0, 1.0, 0.8166666666666667, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9755555556, std: 0.0623213496
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: [0.96875, 0.96875, 0.96875, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.4375, 0.4375, 0.4375, 0.4375, 0.96875]
  mean: 0.8395833333, std: 0.2428312457
F1 Score: [0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 0.30434782608695654, 0.30434782608695654, 0.30434782608695654, 0.30434782608695654, 0.9684729064039409]
  mean: 0.8038827347, std: 0.3015365241
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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697]
  mean: 0.9979797980, std: 0.0075589038
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, 0.9695852534562213]
  mean: 0.9979723502, std: 0.0075867707
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, 0.9489898989898989, 1.0, 0.9959595959595959, 0.9875, 0.9231691919191919, 0.9708333333333333, 0.9916666666666667, 0.9729166666666667, 0.9752525252525251, 0.9777777777777779, 0.9525252525252524, 0.9486742424242425, 0.9854166666666667, 0.9833333333333333, 0.9479166666666666, 0.9757575757575758, 1.0, 0.8958333333333334, 0.9154040404040403, 0.9354166666666667, 0.9028409090909091, 0.8905934343434344, 0.9916666666666667, 0.9814393939393941, 0.9710227272727273, 0.9757575757575758, 0.8395833333333333, 0.997979797979798]
f1_score_list: [1.0, 0.947668319771719, 1.0, 0.9959220240421575, 0.9874877810361682, 0.9183979357088076, 0.9707260687747722, 0.9914917873538565, 0.9717182661744065, 0.9744290360582973, 0.9775701482560756, 0.9520253688437637, 0.9471888314349036, 0.9850920985286311, 0.9827110025004762, 0.9445193021054158, 0.9755555555555555, 1.0, 0.8825083781218601, 0.9130809421864415, 0.9339914170833711, 0.8981499260972945, 0.8813297458937295, 0.9915927750410509, 0.9812447099145081, 0.9703001538022222, 0.9755555555555555, 0.8038827347373075, 0.9979723502304148]
accuracy_intime_list: [1.0, 0.9888888888888888, 1.0, 1.0, 1.0, 0.9888888888888888, 1.0, 1.0, 0.9833333333333333, 0.9857142857142857, 0.9944444444444444, 0.9944444444444444, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9785714285714285, 0.9166666666666667, 1.0, 0.9888888888888889, 0.9777777777777777, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9944444444444444]
f1_in_time_list: [1.0, 0.9888111888111889, 1.0, 1.0, 1.0, 0.9888111888111889, 1.0, 1.0, 0.982977022977023, 0.9856410256410257, 0.9944055944055944, 0.9944055944055944, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9781906981906981, 0.9136152736152735, 1.0, 0.9885714285714287, 0.9766278166278167, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9944055944055944]
**************************************************
Mean Accuracy: 0.9598354232
Mean F1: 0.9569693867
Std Accuracy: 0.0391727649
Std F1: 0.0449472569
Mean Accuracy (Intime): 0.9928297756
Std Accuracy (Intime): 0.0159214951
Mean F1 (Intime): 0.9926366354
Std F1 (Intime): 0.0164868974
ACC: 95.98±3.92
F1: 95.70±4.49
Intime: 99.28±1.59
F1 (Intime): 99.26±1.65
