Learning Rate: 0.0001

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, 0.9696969696969697, 0.9393939393939394, 0.96875, 0.96875, 1.0, 0.96875, 0.96875, 0.9393939393939394, 1.0, 1.0, 0.9696969696969697, 1.0]
  mean: 0.9694444444, std: 0.0221341661
F1 Score: [0.9388888888888889, 0.9379699248120301, 0.9692451071761417, 0.9692451071761417, 0.9379699248120301, 0.9684729064039409, 0.9684729064039409, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9379699248120301, 1.0, 1.0, 0.9692451071761417, 1.0]
  mean: 0.9689617074, std: 0.0225692198
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
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9979166667, std: 0.0077951196
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9978645312, std: 0.0079901926
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, 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, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9696969696969697, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959595960, std: 0.0103010495
F1 Score: [0.9692451071761417, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9958993476, std: 0.0104546532
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, 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: 6
Accuracy Cross: [0.9375, 0.84375, 0.96875, 0.875, 0.96875, 1.0, 0.9696969696969697, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9688762626, std: 0.0470493920
F1 Score: [0.9372549019607843, 0.8435972629521017, 0.9684729064039409, 0.8745098039215686, 0.9684729064039409, 1.0, 0.9692451071761417, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9687198664, std: 0.0471518777
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: 7
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.90625, 0.96875, 1.0]
  mean: 0.9895833333, std: 0.0246503324
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9054187192118226, 0.9684729064039409, 1.0]
  mean: 0.9894909688, std: 0.0248689068
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 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, 1.0, 1.0, 1.0, 0.8991596638655461, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9932773109, std: 0.0251539992
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 0.96875, 0.96875]
  mean: 0.9875000000, std: 0.0153093109
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968]
  mean: 0.9871871872, std: 0.0156924268
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, 0.96875, 1.0, 0.96875, 0.9375, 0.9375, 1.0, 1.0, 1.0, 1.0, 0.9375]
  mean: 0.9812500000, std: 0.0250000000
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 1.0, 0.967967967967968, 0.9352226720647774, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774]
  mean: 0.9806381280, std: 0.0258756366
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, 0.8333333333333334]
  mean: 0.9833333333, std: 0.0451335467
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, 0.8285714285714285]
  mean: 0.9829770230, std: 0.0462478382
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.96875, 0.96875, 0.9375, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 0.9696969696969697]
  mean: 0.9814393939, std: 0.0221404674
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9372549019607843, 0.9684729064039409, 0.9684729064039409, 0.9352226720647774, 0.9692451071761417, 0.9692451071761417, 1.0, 1.0, 0.9692451071761417]
  mean: 0.9811439139, std: 0.0225466559
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: 11
Accuracy Cross: [0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9393939393939394, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 0.9393939393939394, 1.0, 0.9393939393939394, 0.9696969696969697, 0.9696969696969697]
  mean: 0.9757575758, std: 0.0226767114
F1 Score: [0.9692451071761417, 0.9695852534562213, 0.9695852534562213, 0.9379699248120301, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 0.9379699248120301, 1.0, 0.9379699248120301, 0.9692451071761417, 0.9692451071761417]
  mean: 0.9753600571, std: 0.0231646996
Accuracy Intime: [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, 1.0]
  mean: 0.9888888889, std: 0.0415739710
F1 In Time: [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, 1.0]
  mean: 0.9885714286, std: 0.0427617987
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393939393939394, 0.9696969696969697, 0.9696969696969697, 0.9393939393939394, 0.8787878787878788, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9797979798, std: 0.0344028007
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9379699248120301, 0.9692451071761417, 0.9692451071761417, 0.9379699248120301, 0.8730769230769231, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9791671325, std: 0.0357645348
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0]
  mean: 0.9833333333, std: 0.0451335467
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 0.916083916083916, 1.0]
  mean: 0.9829770230, std: 0.0462478382
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 0.9375, 0.9375, 0.875, 0.9375, 0.875]
  mean: 0.9688131313, std: 0.0441948051
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 0.9352226720647774, 0.9352226720647774, 0.8666666666666667, 0.9352226720647774, 0.8704453441295547]
  mean: 0.9674683423, std: 0.0463477618
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, 0.9166666666666666]
  mean: 0.9888888889, std: 0.0283278862
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, 0.916083916083916]
  mean: 0.9876829053, std: 0.0315542076
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.96875, 0.96875, 1.0, 1.0, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0]
  mean: 0.9895833333, std: 0.0147313913
F1 Score: [0.967967967967968, 0.967967967967968, 1.0, 1.0, 0.967967967967968, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0]
  mean: 0.9893563186, std: 0.0150528903
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: [0.96875, 0.96875, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9916666667, std: 0.0138192700
F1 Score: [0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9914581248, std: 0.0141650975
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, 1.0, 1.0, 1.0, 0.6875, 0.96875, 1.0, 0.96875, 0.875, 0.875, 0.90625, 0.9375, 0.90625]
  mean: 0.9416666667, std: 0.0821795122
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6761133603238867, 0.9684729064039409, 1.0, 0.9684729064039409, 0.8666666666666667, 0.8666666666666667, 0.9015384615384616, 0.9352226720647774, 0.9015384615384616]
  mean: 0.9389794734, std: 0.0857044952
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, 0.9393939393939394, 0.9090909090909091, 0.9696969696969697, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857954545, std: 0.0268400905
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9090909090909091, 0.9695852534562213, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857321577, std: 0.0268847547
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, 0.96875, 0.96875, 0.96875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 0.90625, 0.90625, 0.90625, 0.90625, 0.90625]
  mean: 0.9520833333, std: 0.0409310056
F1 Score: [0.906158357771261, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616]
  mean: 0.9504349524, std: 0.0426989756
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 1.0, 0.9285714285714286, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9619047619, std: 0.0849836586
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 0.9282051282051282, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9596581197, std: 0.0905408623
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [1.0, 1.0, 0.96875, 0.96875, 0.9375, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9393939393939394, 0.9090909090909091, 0.9090909090909091, 0.8787878787878788]
  mean: 0.9592803030, std: 0.0409254550
F1 Score: [1.0, 1.0, 0.9684729064039409, 0.967967967967968, 0.9365079365079365, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 0.905982905982906, 0.9379699248120301, 0.905982905982906, 0.907735321528425, 0.8730769230769231]
  mean: 0.9581446466, std: 0.0423600014
Accuracy Intime: [1.0, 1.0, 1.0, 0.8333333333333334, 0.9166666666666666, 1.0, 1.0, 1.0, 0.75, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9555555556, std: 0.0737027731
F1 In Time: [1.0, 1.0, 1.0, 0.8285714285714285, 0.916083916083916, 1.0, 1.0, 1.0, 0.7333333333333334, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9540104340, std: 0.0774161873
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [1.0, 0.96875, 0.96875, 0.90625, 0.875, 1.0, 1.0, 0.96875, 1.0, 0.96875, 0.8125, 0.875, 0.65625, 0.78125, 0.8125]
  mean: 0.9062500000, std: 0.0994778032
F1 Score: [1.0, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 0.8666666666666667, 1.0, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 0.8117647058823529, 0.875, 0.6389743589743591, 0.7793103448275862, 0.8117647058823529]
  mean: 0.9037927410, std: 0.1027205256
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, 1.0, 0.9393939393939394, 0.9393939393939394, 1.0, 0.8787878787878788, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9775883838, std: 0.0394067861
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.9015384615384616, 1.0, 0.9393382352941176, 0.9393382352941176, 1.0, 0.8730769230769231, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9768861237, std: 0.0409471792
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.5833333333333334]
  mean: 0.9388888889, std: 0.1271724794
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.4957983193277311]
  mean: 0.9308309991, std: 0.1471226918
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.84375, 0.5625, 0.9375, 1.0, 0.9375, 0.9090909090909091, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.8484848484848485]
  mean: 0.9298611111, std: 0.1106998890
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8435972629521017, 0.5151515151515151, 0.9372549019607843, 1.0, 0.9372549019607843, 0.905982905982906, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.8390243902439025]
  mean: 0.9257334133, std: 0.1217294341
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, 0.8333333333333334]
  mean: 0.9833333333, std: 0.0451335467
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, 0.8285714285714285]
  mean: 0.9829770230, std: 0.0462478382
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9979166667, std: 0.0077951196
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9978645312, std: 0.0079901926
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, 1.0, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9918560606, std: 0.0174605737
F1 Score: [1.0, 1.0, 0.9692451071761417, 1.0, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9916788667, std: 0.0178531525
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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 1.0, 0.96875]
  mean: 0.9916666667, std: 0.0138192700
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0, 0.967967967967968]
  mean: 0.9914581248, std: 0.0141650975
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0]
  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, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393939393939394, 0.9090909090909091, 0.9696969696969697, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857954545, std: 0.0268400905
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9090909090909091, 0.9695852534562213, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857321577, std: 0.0268847547
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, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.96875, 0.71875, 0.78125, 0.75]
  mean: 0.9416666667, std: 0.0980716858
F1 Score: [1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9365079365079365, 0.9684729064039409, 0.7117117117117118, 0.7793103448275862, 0.746031746031746]
  mean: 0.9406668409, std: 0.0998528348
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, 0.96875, 0.96875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0]
  mean: 0.9896464646, std: 0.0185646855
F1 Score: [1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0]
  mean: 0.9893602477, std: 0.0191415828
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, 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, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9944055944, std: 0.0209323490
--------------------------------------------------
**************************************************
accuracy_cross_list: [1.0, 0.9694444444444446, 0.9979166666666667, 0.9959595959595959, 1.0, 0.9688762626262625, 0.9895833333333334, 0.9875, 0.98125, 0.9814393939393937, 0.9757575757575758, 0.9797979797979798, 0.9688131313131313, 0.9895833333333334, 0.9916666666666667, 0.9416666666666667, 0.9857954545454546, 1.0, 0.9520833333333333, 0.9592803030303029, 0.90625, 0.9775883838383839, 0.9298611111111109, 0.9979166666666667, 0.9918560606060607, 0.9916666666666667, 0.9857954545454546, 0.9416666666666667, 0.9896464646464646]
f1_score_list: [1.0, 0.9689617073646112, 0.9978645311978646, 0.9958993476234855, 1.0, 0.9687198663996415, 0.9894909688013135, 0.9871871871871875, 0.9806381280065489, 0.9811439138907913, 0.9753600570888789, 0.9791671324702178, 0.9674683422777797, 0.9893563185517209, 0.9914581247914581, 0.9389794734404534, 0.9857321577206144, 1.0, 0.9504349524424117, 0.9581446465777984, 0.9037927410429102, 0.9768861236802413, 0.9257334133186949, 0.9978645311978646, 0.9916788666637427, 0.9914581247914583, 0.9857321577206144, 0.9406668408967259, 0.989360247678457]
accuracy_intime_list: [1.0, 0.9944444444444444, 0.9944444444444444, 1.0, 1.0, 0.9777777777777777, 0.9944444444444444, 1.0, 0.9833333333333333, 0.9888888888888888, 0.9888888888888889, 0.9833333333333333, 0.9888888888888888, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9619047619047619, 0.9555555555555555, 1.0, 0.9388888888888889, 0.9833333333333333, 1.0, 1.0, 0.9888888888888888, 1.0, 1.0, 0.9944444444444444]
f1_in_time_list: [1.0, 0.9944055944055944, 0.9944055944055944, 1.0, 1.0, 0.9766278166278167, 0.9932773109243698, 1.0, 0.982977022977023, 0.9888111888111889, 0.9885714285714287, 0.982977022977023, 0.9876829053299642, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9596581196581196, 0.954010434010434, 1.0, 0.9308309990662933, 0.982977022977023, 1.0, 1.0, 0.9888111888111889, 1.0, 1.0, 0.9944055944055944]
**************************************************
Mean Accuracy: 0.9768504006
Mean F1: 0.9761786173
Std Accuracy: 0.0228263983
Std F1: 0.0236518312
Mean Accuracy (Intime): 0.9902572523
Std Accuracy (Intime): 0.0148008100
Mean F1 (Intime): 0.9896699739
Std F1 (Intime): 0.0161027706
ACC: 97.69±2.28
F1: 97.62±2.37
Intime: 99.03±1.48
F1 (Intime): 98.97±1.61
