Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939393939, std: 0.0226767114
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939393939, std: 0.0226767114
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, 0.8787878787878788, 0.9090909090909091, 1.0, 0.96875, 0.9375, 1.0, 0.96875, 0.96875, 1.0, 1.0, 0.9393939393939394, 0.9696969696969697, 1.0]
  mean: 0.9613005051, std: 0.0358381290
F1 Score: [0.9379699248120301, 0.9379699248120301, 0.8730769230769231, 0.9090909090909091, 1.0, 0.9684729064039409, 0.9372549019607843, 1.0, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 0.9379699248120301, 0.9692451071761417, 1.0]
  mean: 0.9605330890, std: 0.0368937652
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, 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: 0.9937500000, std: 0.0125000000
F1 Score: [1.0, 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: 0.9935935936, std: 0.0128128128
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: 4
Accuracy Cross: [1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 1.0, 1.0, 0.9696969696969697, 1.0]
  mean: 0.9737373737, std: 0.0827050080
F1 Score: [1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6458536585365854, 1.0, 1.0, 0.9695852534562213, 1.0]
  mean: 0.9723122679, std: 0.0878602655
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, 0.9375, 0.875, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9812500000, std: 0.0391976828
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9372549019607843, 0.875, 0.906158357771261, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9812275506, std: 0.0392276504
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: [0.84375, 0.96875, 0.78125, 0.96875, 0.875, 0.9696969696969697, 1.0, 0.9090909090909091, 0.9696969696969697, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0]
  mean: 0.9503787879, std: 0.0652835167
F1 Score: [0.8435972629521017, 0.967967967967968, 0.7810361681329423, 0.967967967967968, 0.875, 0.9695852534562213, 1.0, 0.905982905982906, 0.9692451071761417, 1.0, 1.0, 1.0, 0.9695852534562213, 1.0, 1.0]
  mean: 0.9499978591, std: 0.0654298900
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: 7
Accuracy Cross: [1.0, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875, 0.84375, 0.875, 0.90625, 0.96875]
  mean: 0.9604166667, std: 0.0552770798
F1 Score: [1.0, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875, 0.8435972629521017, 0.8745098039215686, 0.906158357771261, 0.967967967967968]
  mean: 0.9601637376, std: 0.0554130524
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, 0.96875, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.90625]
  mean: 0.9854166667, std: 0.0251730124
F1 Score: [1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.9015384615384616]
  mean: 0.9849276848, std: 0.0262794788
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, 0.875, 0.96875, 0.96875, 0.90625, 1.0, 1.0, 1.0, 1.0, 0.96875]
  mean: 0.9770833333, std: 0.0369167607
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 0.873015873015873, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 1.0, 0.967967967967968]
  mean: 0.9764284138, std: 0.0379381534
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, 0.75]
  mean: 0.9722222222, std: 0.0724355823
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, 0.7333333333333334]
  mean: 0.9707936508, std: 0.0764651135
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.84375, 0.96875, 1.0, 0.9375, 0.96875, 0.9696969696969697, 1.0, 0.9393939393939394, 0.9696969696969697, 0.9696969696969697]
  mean: 0.9711489899, std: 0.0401792992
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8435972629521017, 0.967967967967968, 1.0, 0.9372549019607843, 0.967967967967968, 0.9695852534562213, 1.0, 0.9379699248120301, 0.9692451071761417, 0.9692451071761417]
  mean: 0.9708555662, std: 0.0403108002
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: 11
Accuracy Cross: [1.0, 1.0, 1.0, 0.9090909090909091, 1.0, 0.9696969696969697, 1.0, 0.9393939393939394, 1.0, 1.0, 0.9393939393939394, 1.0, 0.9393939393939394, 0.9393939393939394, 0.9393939393939394]
  mean: 0.9717171717, std: 0.0321967221
F1 Score: [1.0, 1.0, 1.0, 0.905982905982906, 1.0, 0.9695852534562213, 1.0, 0.9379699248120301, 1.0, 1.0, 0.9379699248120301, 1.0, 0.9379699248120301, 0.9379699248120301, 0.9379699248120301]
  mean: 0.9710278522, std: 0.0330778292
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9952380952, std: 0.0178174161
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9282051282051282, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9952136752, std: 0.0179087875
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [1.0, 1.0, 0.96875, 1.0, 0.96875, 0.9090909090909091, 0.9696969696969697, 0.9393939393939394, 0.9696969696969697, 0.8181818181818182, 0.84375, 1.0, 0.9375, 1.0, 1.0]
  mean: 0.9549873737, std: 0.0558052241
F1 Score: [1.0, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 0.905982905982906, 0.9692451071761417, 0.9379699248120301, 0.9692451071761417, 0.8035714285714286, 0.8435972629521017, 1.0, 0.9372549019607843, 1.0, 1.0]
  mean: 0.9535201716, std: 0.0584283628
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, 0.90625, 0.59375, 0.9696969696969697, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 0.9375, 1.0, 0.9375, 0.90625, 0.84375]
  mean: 0.9335227273, std: 0.1007593558
F1 Score: [1.0, 0.9684729064039409, 1.0, 0.906158357771261, 0.5588547189819725, 0.9692451071761417, 1.0, 0.9692451071761417, 0.9692451071761417, 1.0, 0.9352226720647774, 1.0, 0.9352226720647774, 0.9015384615384616, 0.8358974358974359]
  mean: 0.9299401698, std: 0.1091292182
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, 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, 0.8991596638655461, 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: [1.0, 0.9375, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875]
  mean: 0.9854166667, std: 0.0193200385
F1 Score: [1.0, 0.9352226720647774, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968]
  mean: 0.9851388177, std: 0.0198076799
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, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0]
  mean: 0.9937500000, std: 0.0125000000
F1 Score: [0.967967967967968, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0]
  mean: 0.9935935936, std: 0.0128128128
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, 0.96875, 0.96875, 1.0, 1.0, 1.0, 0.6875, 1.0, 0.875, 0.875, 0.875, 0.875, 0.9375, 1.0, 0.8125]
  mean: 0.9250000000, std: 0.0882409108
F1 Score: [1.0, 0.967967967967968, 0.9684729064039409, 1.0, 1.0, 1.0, 0.6761133603238867, 1.0, 0.875, 0.875, 0.8666666666666667, 0.8666666666666667, 0.9365079365079365, 1.0, 0.7922077922077921]
  mean: 0.9216402198, std: 0.0926761875
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, 0.9393939393939394, 0.9696969696969697, 0.8181818181818182, 1.0, 1.0, 1.0, 1.0, 1.0, 0.90625]
  mean: 0.9755681818, std: 0.0499897162
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9695852534562213, 0.8166666666666667, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9015384615384616]
  mean: 0.9751419078, std: 0.0507555061
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, 0.96875, 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, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9978981938, std: 0.0078642388
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: [0.65625, 1.0, 1.0, 0.9375, 0.71875, 1.0, 1.0, 0.875, 1.0, 0.78125, 0.875, 0.875, 0.875, 0.90625, 0.84375]
  mean: 0.8895833333, std: 0.1038745905
F1 Score: [0.6101882613510521, 1.0, 1.0, 0.9372549019607843, 0.681063122923588, 1.0, 1.0, 0.8666666666666667, 1.0, 0.751937984496124, 0.8745098039215686, 0.8666666666666667, 0.8666666666666667, 0.9015384615384616, 0.8303287380699894]
  mean: 0.8791214183, std: 0.1176251945
Accuracy Intime: [1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 0.9285714285714286, 1.0, 1.0, 0.8333333333333334, 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, 0.916083916083916, 1.0, 0.9282051282051282, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9781906982, std: 0.0479231908
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.96875, 0.96875, 1.0, 0.96875, 0.90625, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.8787878787878788, 0.9393939393939394, 0.9090909090909091, 0.9090909090909091, 0.8484848484848485]
  mean: 0.9510732323, std: 0.0480549153
F1 Score: [0.9684729064039409, 0.967967967967968, 1.0, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.8730769230769231, 0.9379699248120301, 0.905982905982906, 0.905982905982906, 0.8390243902439025]
  mean: 0.9490634881, std: 0.0505948840
Accuracy Intime: [1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9666666667, std: 0.0593171014
F1 In Time: [1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9659540460, std: 0.0608125117
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.9375, 0.625, 0.875, 0.875, 0.90625, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.8125, 0.65625, 0.6875, 0.71875, 0.78125]
  mean: 0.8541666667, std: 0.1279173453
F1 Score: [0.9352226720647774, 0.6, 0.8666666666666667, 0.8666666666666667, 0.9015384615384616, 1.0, 0.9684729064039409, 1.0, 1.0, 0.967967967967968, 0.8117647058823529, 0.6389743589743591, 0.6761133603238867, 0.7117117117117118, 0.7793103448275862]
  mean: 0.8482939882, std: 0.1338492402
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, 0.96875, 0.9375, 0.8181818181818182, 0.8787878787878788, 0.9393939393939394, 0.8181818181818182, 0.9393939393939394, 1.0, 1.0, 1.0, 0.78125, 1.0]
  mean: 0.9387626263, std: 0.0751169780
F1 Score: [1.0, 1.0, 1.0, 0.967967967967968, 0.9352226720647774, 0.8166666666666667, 0.8730769230769231, 0.9393382352941176, 0.8166666666666667, 0.9379699248120301, 1.0, 1.0, 1.0, 0.7702564102564102, 1.0]
  mean: 0.9371443645, std: 0.0772878068
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666]
  mean: 0.9555555556, std: 0.0955813919
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.625]
  mean: 0.9521428571, std: 0.1048954776
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.9375, 0.8484848484848485, 0.9696969696969697, 0.9090909090909091, 0.8181818181818182, 0.8484848484848485]
  mean: 0.9492424242, std: 0.0612573512
F1 Score: [1.0, 1.0, 1.0, 0.9692451071761417, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9684729064039409, 0.9372549019607843, 0.8390243902439025, 0.9692451071761417, 0.905982905982906, 0.8035714285714286, 0.8390243902439025]
  mean: 0.9466862696, std: 0.0655392876
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, 1.0, 1.0, 0.96875, 0.96875, 1.0, 0.96875, 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, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 1.0, 0.967967967967968, 1.0, 1.0, 1.0]
  mean: 0.9915591125, std: 0.0139980838
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, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.8125, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0]
  mean: 0.9792929293, std: 0.0478544515
F1 Score: [1.0, 1.0, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.8117647058823529, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0]
  mean: 0.9790783670, std: 0.0481210584
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, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 0.90625]
  mean: 0.9772727273, std: 0.0240537759
F1 Score: [1.0, 1.0, 0.9695852534562213, 0.9695852534562213, 0.9695852534562213, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9015384615384616]
  mean: 0.9766756041, std: 0.0250861033
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, 0.9393939393939394, 0.9696969696969697, 0.8181818181818182, 1.0, 1.0, 1.0, 1.0, 1.0, 0.90625]
  mean: 0.9755681818, std: 0.0499897162
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9695852534562213, 0.8166666666666667, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9015384615384616]
  mean: 0.9751419078, std: 0.0507555061
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: [0.9375, 0.9375, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.46875, 0.4375, 0.5, 0.5, 0.65625]
  mean: 0.8229166667, std: 0.2255394767
F1 Score: [0.9372549019607843, 0.9372549019607843, 0.906158357771261, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.36374269005847953, 0.30434782608695654, 0.4181818181818182, 0.4181818181818182, 0.6389743589743591]
  mean: 0.7949397782, std: 0.2685832395
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, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0]
  mean: 0.9938762626, std: 0.0122491017
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, 0.9695852534562213, 0.9692451071761417, 1.0]
  mean: 0.9937865552, std: 0.0124307894
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
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.993939393939394, 0.9613005050505052, 0.99375, 0.9737373737373737, 0.98125, 0.9503787878787878, 0.9604166666666667, 0.9854166666666667, 0.9770833333333333, 0.9711489898989899, 0.9717171717171718, 0.9549873737373739, 0.9335227272727273, 0.9854166666666667, 0.99375, 0.925, 0.9755681818181817, 0.9979166666666667, 0.8895833333333333, 0.9510732323232322, 0.8541666666666666, 0.9387626262626263, 0.949242424242424, 0.9916666666666667, 0.9792929292929293, 0.9772727272727273, 0.9755681818181817, 0.8229166666666666, 0.9938762626262625]
f1_score_list: [0.993939393939394, 0.9605330889968448, 0.9935935935935937, 0.9723122679445967, 0.9812275506488031, 0.9499978591394981, 0.9601637376451786, 0.9849276847897539, 0.9764284137617472, 0.9708555662312907, 0.9710278522332852, 0.9535201716378314, 0.9299401697500701, 0.9851388177099006, 0.9935935935935937, 0.9216402197829906, 0.9751419077970311, 0.9978981937602627, 0.8791214182841045, 0.9490634881296651, 0.848293988201892, 0.937144364453704, 0.9466862696108728, 0.9915591124786527, 0.9790783670044195, 0.9766756041164645, 0.9751419077970311, 0.7949397782117508, 0.9937865552400221]
accuracy_intime_list: [1.0, 1.0, 0.9944444444444444, 1.0, 1.0, 0.9944444444444444, 0.9944444444444444, 1.0, 0.9722222222222222, 0.9888888888888888, 0.9952380952380953, 0.9944444444444444, 0.9888888888888888, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9785714285714285, 0.9666666666666667, 1.0, 0.9555555555555556, 0.9777777777777779, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9888888888888888]
f1_in_time_list: [1.0, 1.0, 0.9944055944055944, 1.0, 1.0, 0.9944055944055944, 0.9932773109243698, 1.0, 0.9707936507936509, 0.9888111888111889, 0.9952136752136752, 0.9944055944055944, 0.9876829053299642, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9781906981906981, 0.965954045954046, 1.0, 0.9521428571428572, 0.9771428571428572, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9888111888111889]
**************************************************
Mean Accuracy: 0.9589559387
Mean F1: 0.9566679633
Std Accuracy: 0.0407983090
Std F1: 0.0453824257
Mean Accuracy (Intime): 0.9927750411
Std Accuracy (Intime): 0.0114677020
Mean F1 (Intime): 0.9924564538
Std F1 (Intime): 0.0120550124
ACC: 95.90±4.08
F1: 95.67±4.54
Intime: 99.28±1.15
F1 (Intime): 99.25±1.21
