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: [1.0, 0.9393939393939394, 0.9393939393939394, 0.9393939393939394, 1.0, 1.0, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0]
  mean: 0.9816919192, std: 0.0243076052
F1 Score: [1.0, 0.9393382352941176, 0.9393382352941176, 0.9393382352941176, 1.0, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.9692451071761417, 1.0]
  mean: 0.9816137084, std: 0.0243618445
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, 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, 0.916083916083916, 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, 0.96875, 1.0, 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: 0.9979166667, std: 0.0077951196
F1 Score: [1.0, 0.9684729064039409, 1.0, 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: 0.9978981938, 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: 4
Accuracy Cross: [1.0, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 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: [1.0, 1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 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, 0.78125, 0.90625, 0.875, 0.9375, 1.0, 0.9696969696969697, 1.0, 0.9696969696969697, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9544191919, std: 0.0602348824
F1 Score: [0.9372549019607843, 0.7793103448275862, 0.906158357771261, 0.875, 0.9372549019607843, 1.0, 0.9692451071761417, 1.0, 0.9692451071761417, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9540959097, std: 0.0606304362
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: 7
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 1.0, 1.0, 0.96875, 0.90625]
  mean: 0.9875000000, std: 0.0274810541
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9372549019607843, 1.0, 1.0, 0.9684729064039409, 0.906158357771261]
  mean: 0.9874590777, std: 0.0275415296
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, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 0.96875, 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, 1.0, 0.967967967967968, 0.967967967967968, 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, 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: 9
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 0.96875, 0.96875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9854166667, std: 0.0193200385
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9850041675, std: 0.0199219020
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: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.96875, 1.0, 0.90625, 0.9696969696969697, 1.0, 1.0, 1.0, 0.9696969696969697]
  mean: 0.9834595960, std: 0.0251018230
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9684729064039409, 1.0, 0.9015384615384616, 0.9692451071761417, 1.0, 1.0, 1.0, 0.9692451071761417]
  mean: 0.9830298263, std: 0.0261386972
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: 11
Accuracy Cross: [1.0, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9858585859, std: 0.0151178076
F1 Score: [1.0, 1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 1.0, 0.9695852534562213, 0.9695852534562213, 0.9695852534562213, 0.9695852534562213, 0.9692451071761417, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857384224, std: 0.0152467014
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: 12
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 0.9090909090909091, 0.9090909090909091, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 0.90625]
  mean: 0.9715277778, std: 0.0393776473
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 0.905982905982906, 0.905982905982906, 0.905982905982906, 1.0, 1.0, 1.0, 1.0, 0.906158357771261]
  mean: 0.9708398193, std: 0.0403822408
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, 0.9166666666666666, 1.0]
  mean: 0.9888888889, std: 0.0283278862
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, 0.916083916083916, 1.0]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9375, 0.9375, 0.875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.96875, 1.0, 0.96875, 1.0, 0.96875]
  mean: 0.9708964646, std: 0.0351060057
F1 Score: [0.9372549019607843, 0.9372549019607843, 0.875, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 0.967967967967968, 1.0, 0.967967967967968, 1.0, 0.967967967967968]
  mean: 0.9706835909, std: 0.0351636881
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: [0.96875, 0.96875, 0.71875, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.96875]
  mean: 0.9666666667, std: 0.0689076475
F1 Score: [0.9684729064039409, 0.9684729064039409, 0.7117117117117118, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 0.967967967967968, 0.967967967967968]
  mean: 0.9659877554, std: 0.0705977626
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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9875000000, std: 0.0190940654
F1 Score: [0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9871396363, std: 0.0196968224
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, 0.75, 0.96875, 1.0, 1.0, 0.84375, 0.84375, 0.90625, 0.96875, 0.84375]
  mean: 0.9395833333, std: 0.0786165094
F1 Score: [1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 0.746031746031746, 0.9684729064039409, 1.0, 1.0, 0.8303287380699894, 0.8303287380699894, 0.9015384615384616, 0.967967967967968, 0.8303287380699894]
  mean: 0.9362313468, std: 0.0826949855
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, 1.0, 1.0]
  mean: 0.9888888889, std: 0.0415739710
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, 1.0, 1.0]
  mean: 0.9885714286, std: 0.0427617987
--------------------------------------------------
Subject Number: 17
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.9393939393939394, 0.9696969696969697, 1.0, 1.0, 0.9375, 1.0, 1.0, 1.0, 0.9375]
  mean: 0.9835858586, std: 0.0248740578
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 0.9393382352941176, 0.9695852534562213, 1.0, 1.0, 0.9352226720647774, 1.0, 1.0, 1.0, 0.9352226720647774]
  mean: 0.9832636058, std: 0.0254565831
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: [0.9375, 0.96875, 0.9375, 1.0, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 0.90625, 0.90625, 0.90625, 0.90625, 0.90625]
  mean: 0.9541666667, std: 0.0409310056
F1 Score: [0.9372549019607843, 0.9684729064039409, 0.9372549019607843, 1.0, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616]
  mean: 0.9525286613, std: 0.0427981717
Accuracy Intime: [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, 1.0, 1.0]
  mean: 0.9666666667, std: 0.0849836586
F1 In Time: [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, 1.0, 1.0]
  mean: 0.9644444444, std: 0.0906492358
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.90625, 0.9375, 0.8125, 0.90625, 0.9375, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.9090909090909091, 0.9090909090909091, 0.9090909090909091, 0.9393939393939394, 0.8787878787878788]
  mean: 0.9342803030, std: 0.0515726803
F1 Score: [0.906158357771261, 0.9372549019607843, 0.8117647058823529, 0.9054187192118226, 0.9365079365079365, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.905982905982906, 0.905982905982906, 0.905982905982906, 0.9379699248120301, 0.8730769230769231]
  mean: 0.9329378770, std: 0.0524045503
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 0.9166666666666666, 1.0, 1.0, 1.0, 0.75, 0.75, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9388888889, std: 0.0984446953
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 0.916083916083916, 1.0, 1.0, 1.0, 0.7333333333333334, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9354778555, std: 0.1048715229
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [1.0, 0.96875, 1.0, 0.9375, 0.90625, 0.96875, 0.96875, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.90625]
  mean: 0.9729166667, std: 0.0320047739
F1 Score: [1.0, 0.967967967967968, 1.0, 0.9352226720647774, 0.9015384615384616, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 0.9684729064039409, 0.906158357771261]
  mean: 0.9722849431, std: 0.0328726228
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: 22
Accuracy Cross: [1.0, 1.0, 1.0, 0.59375, 0.90625, 0.7878787878787878, 0.7878787878787878, 0.8484848484848485, 0.8787878787878788, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9161616162, std: 0.1153857696
F1 Score: [1.0, 1.0, 1.0, 0.5588547189819725, 0.9015384615384616, 0.7847157502329916, 0.7847157502329916, 0.847926267281106, 0.8786764705882353, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9129598229, std: 0.1224886696
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, 0.75]
  mean: 0.9500000000, std: 0.1000000000
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, 0.7333333333333334]
  mean: 0.9466666667, std: 0.1066666667
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.9375, 0.96875, 1.0, 0.9375, 0.9393939393939394, 0.9090909090909091, 0.9393939393939394, 0.9696969696969697, 0.8787878787878788]
  mean: 0.9632575758, std: 0.0371813958
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9372549019607843, 0.9684729064039409, 1.0, 0.9372549019607843, 0.9379699248120301, 0.905982905982906, 0.9379699248120301, 0.9692451071761417, 0.8730769230769231]
  mean: 0.9623800268, std: 0.0384905872
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, 1.0, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9958333333, std: 0.0106229573
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9957963875, std: 0.0107171510
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, 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]
  mean: 0.9979797980, std: 0.0075589038
F1 Score: [1.0, 1.0, 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]
  mean: 0.9979496738, std: 0.0076716181
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, 0.9375, 0.96875, 0.90625]
  mean: 0.9833333333, std: 0.0276385399
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, 0.9352226720647774, 0.967967967967968, 0.9015384615384616]
  mean: 0.9827110025, std: 0.0288505211
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, 0.9696969696969697, 0.9393939393939394, 0.9696969696969697, 1.0, 1.0, 0.9375, 1.0, 1.0, 1.0, 0.9375]
  mean: 0.9835858586, std: 0.0248740578
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 0.9393382352941176, 0.9695852534562213, 1.0, 1.0, 0.9352226720647774, 1.0, 1.0, 1.0, 0.9352226720647774]
  mean: 0.9832636058, std: 0.0254565831
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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.75, 0.46875, 0.53125, 0.4375, 0.4375]
  mean: 0.8416666667, std: 0.2339834693
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.746031746031746, 0.36374269005847953, 0.4684385382059801, 0.30434782608695654, 0.30434782608695654]
  mean: 0.8124605751, std: 0.2819195136
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, 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
--------------------------------------------------
**************************************************
accuracy_cross_list: [1.0, 0.9816919191919192, 0.9979166666666667, 0.9959595959595959, 1.0, 0.9544191919191919, 0.9875, 0.9916666666666667, 0.9854166666666667, 0.9834595959595959, 0.9858585858585857, 0.9715277777777778, 0.9708964646464646, 0.9666666666666667, 0.9875, 0.9395833333333333, 0.9835858585858586, 1.0, 0.9541666666666667, 0.9342803030303028, 0.9729166666666667, 0.9161616161616162, 0.9632575757575758, 0.9958333333333333, 0.997979797979798, 0.9833333333333333, 0.9835858585858586, 0.8416666666666667, 1.0]
f1_score_list: [1.0, 0.9816137083910916, 0.9978981937602627, 0.9958993476234855, 1.0, 0.9540959097123153, 0.987459077742399, 0.9914581247914583, 0.9850041674603077, 0.9830298263401713, 0.9857384223568874, 0.9708398193381509, 0.9706835908828321, 0.9659877553589522, 0.9871396362624433, 0.9362313468370683, 0.9832636057557409, 1.0, 0.9525286613319067, 0.9329378770093198, 0.972284943101484, 0.9129598229111858, 0.9623800268392988, 0.9957963875205255, 0.9979496738117428, 0.9827110025004763, 0.9832636057557409, 0.8124605750980081, 1.0]
accuracy_intime_list: [1.0, 0.9944444444444444, 1.0, 1.0, 1.0, 0.9944444444444444, 1.0, 0.9944444444444444, 0.9666666666666667, 0.9944444444444444, 0.9944444444444444, 0.9888888888888888, 1.0, 1.0, 1.0, 0.9888888888888889, 1.0, 1.0, 0.9666666666666667, 0.9388888888888888, 0.9944444444444444, 0.95, 0.9777777777777779, 1.0, 1.0, 0.9888888888888888, 1.0, 1.0, 1.0]
f1_in_time_list: [1.0, 0.9944055944055944, 1.0, 1.0, 1.0, 0.9944055944055944, 1.0, 0.9944055944055944, 0.9651992451992454, 0.9944055944055944, 0.9944055944055944, 0.9888111888111889, 1.0, 1.0, 1.0, 0.9885714285714287, 1.0, 1.0, 0.9644444444444444, 0.9354778554778556, 0.9944055944055944, 0.9466666666666669, 0.9771428571428572, 1.0, 1.0, 0.9888111888111889, 1.0, 1.0, 1.0]
**************************************************
Mean Accuracy: 0.9733389934
Mean F1: 0.9717798313
Std Accuracy: 0.0325612503
Std F1: 0.0371291813
Mean Accuracy (Intime): 0.9908045977
Std Accuracy (Intime): 0.0155962701
Mean F1 (Intime): 0.9903985670
Std F1 (Intime): 0.0165056188
ACC: 97.33±3.26
F1: 97.18±3.71
Intime: 99.08±1.56
F1 (Intime): 99.04±1.65
