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, 0.9696969696969697, 1.0, 0.9696969696969697, 0.9393939393939394, 1.0, 1.0, 1.0, 0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9877525253, std: 0.0186418120
F1 Score: [1.0, 0.9692451071761417, 1.0, 0.9695852534562213, 0.9379699248120301, 1.0, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9875830732, std: 0.0189628842
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0]
  mean: 0.9777777778, std: 0.0643102050
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0]
  mean: 0.9766278166, std: 0.0682930626
--------------------------------------------------
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, 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: 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: [0.875, 0.59375, 0.8125, 0.75, 0.9375, 1.0, 0.9696969696969697, 1.0, 1.0, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697]
  mean: 0.9231691919, std: 0.1152364550
F1 Score: [0.875, 0.5588547189819725, 0.8117647058823529, 0.746031746031746, 0.9372549019607843, 1.0, 0.9692451071761417, 1.0, 1.0, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213]
  mean: 0.9203804239, std: 0.1224017983
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: 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, 0.9375, 0.9375, 0.9375, 1.0]
  mean: 0.9875000000, std: 0.0250000000
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9372549019607843, 0.9372549019607843, 0.9372549019607843, 1.0]
  mean: 0.9874509804, std: 0.0250980392
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, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 0.96875, 0.96875]
  mean: 0.9875000000, std: 0.0190940654
F1 Score: [1.0, 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, 0.967967967967968]
  mean: 0.9872751183, std: 0.0193430649
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, 0.90625, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9833333333, std: 0.0251730124
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9827585534, std: 0.0262880426
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, 0.75]
  mean: 0.9611111111, std: 0.0797372227
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, 0.7333333333333334]
  mean: 0.9593650794, std: 0.0837132684
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.96875, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 1.0, 0.9696969696969697]
  mean: 0.9877525253, std: 0.0150026887
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 0.967967967967968, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 1.0, 0.9692451071761417]
  mean: 0.9875614202, std: 0.0152374285
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: [0.9696969696969697, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 0.9696969696969697, 1.0, 0.9090909090909091, 1.0, 1.0, 0.9393939393939394, 1.0, 1.0, 0.9696969696969697, 1.0]
  mean: 0.9797979798, std: 0.0263402117
F1 Score: [0.9692451071761417, 1.0, 0.9695852534562213, 0.9692451071761417, 1.0, 0.9695852534562213, 1.0, 0.9090909090909091, 1.0, 1.0, 0.9379699248120301, 1.0, 1.0, 0.9692451071761417, 1.0]
  mean: 0.9795977775, std: 0.0265281444
Accuracy Intime: [1.0, 1.0, 1.0, 0.9166666666666666, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888888889, std: 0.0283278862
F1 In Time: [1.0, 1.0, 1.0, 0.916083916083916, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888111888, std: 0.0285259833
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9696969696969697, 0.9393939393939394, 0.9090909090909091, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9757575758, std: 0.0370309147
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.905982905982906, 0.9692451071761417, 0.9379699248120301, 0.905982905982906, 0.905982905982906, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9750109167, std: 0.0382486786
Accuracy Intime: [1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0]
  mean: 0.9777777778, std: 0.0477906959
F1 In Time: [1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 0.916083916083916, 1.0]
  mean: 0.9773826174, std: 0.0488524195
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9393939393939394, 1.0, 1.0, 1.0, 0.96875, 0.9375, 0.9375, 1.0, 0.96875]
  mean: 0.9813762626, std: 0.0247825586
F1 Score: [1.0, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 0.9393382352941176, 1.0, 1.0, 1.0, 0.967967967967968, 0.9365079365079365, 0.9352226720647774, 1.0, 0.967967967967968]
  mean: 0.9810318457, std: 0.0252406956
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: [0.84375, 0.71875, 0.8125, 0.75, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.9375, 1.0, 1.0, 0.96875]
  mean: 0.9291666667, std: 0.0951059351
F1 Score: [0.8435972629521017, 0.7117117117117118, 0.8117647058823529, 0.746031746031746, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774, 0.9352226720647774, 1.0, 1.0, 0.967967967967968]
  mean: 0.9279994430, std: 0.0966627689
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: 15
Accuracy Cross: [0.96875, 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: 0.9895833333, std: 0.0147313913
F1 Score: [0.967967967967968, 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: 0.9893226560, std: 0.0151000447
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, 0.96875, 0.71875, 0.9375, 1.0, 0.96875, 0.90625, 0.875, 0.90625, 0.9375, 0.90625]
  mean: 0.9416666667, std: 0.0729464225
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 0.7117117117117118, 0.9372549019607843, 1.0, 0.9684729064039409, 0.9015384615384616, 0.8666666666666667, 0.9015384615384616, 0.9352226720647774, 0.9015384615384616]
  mean: 0.9394944767, std: 0.0753565428
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, 0.8787878787878788, 0.9393939393939394, 1.0, 0.9696969696969697, 0.9375, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9796717172, std: 0.0345540002
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 0.8786764705882353, 0.9393382352941176, 1.0, 0.9695852534562213, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9794938590, std: 0.0347734928
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, 0.96875, 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: 0.9562500000, std: 0.0408248290
F1 Score: [0.9372549019607843, 0.9684729064039409, 0.9684729064039409, 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: 0.9546098616, std: 0.0427638576
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: [0.96875, 1.0, 0.90625, 0.96875, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9090909090909091, 0.9090909090909091, 0.9090909090909091, 0.8787878787878788]
  mean: 0.9551767677, std: 0.0442207698
F1 Score: [0.9684729064039409, 1.0, 0.906158357771261, 0.967967967967968, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 1.0, 0.905982905982906, 0.905982905982906, 0.905982905982906, 0.905982905982906, 0.8730769230769231]
  mean: 0.9538720457, std: 0.0457308947
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.75, 0.6666666666666666, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9388888889, std: 0.1116652847
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 0.625, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9338500389, std: 0.1222707027
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.96875, 0.9375, 1.0, 0.9375, 0.90625, 1.0, 0.96875, 1.0, 1.0, 0.96875, 0.96875, 0.9375, 0.8125, 0.96875, 0.84375]
  mean: 0.9479166667, std: 0.0543266867
F1 Score: [0.967967967967968, 0.9352226720647774, 1.0, 0.9352226720647774, 0.9015384615384616, 1.0, 0.9684729064039409, 1.0, 1.0, 0.9684729064039409, 0.9684729064039409, 0.9372549019607843, 0.8117647058823529, 0.9684729064039409, 0.8435972629521017]
  mean: 0.9470973513, std: 0.0547355439
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  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, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9766278166, std: 0.0682930626
--------------------------------------------------
Subject Number: 22
Accuracy Cross: [1.0, 1.0, 0.96875, 1.0, 0.90625, 0.9090909090909091, 0.8484848484848485, 1.0, 0.9090909090909091, 0.8787878787878788, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9613636364, std: 0.0526322089
F1 Score: [1.0, 1.0, 0.9684729064039409, 1.0, 0.9015384615384616, 0.9090909090909091, 0.847926267281106, 1.0, 0.9090909090909091, 0.8730769230769231, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9606130918, std: 0.0536553926
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, 1.0, 0.875, 0.96875, 1.0, 0.78125, 0.9090909090909091, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.8787878787878788]
  mean: 0.9547979798, std: 0.0629901832
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875, 0.9684729064039409, 1.0, 0.7793103448275862, 0.905982905982906, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 0.8730769230769231]
  mean: 0.9539718935, std: 0.0639428674
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  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, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  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, 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: 25
Accuracy Cross: [1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 0.9090909090909091, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9898989899, std: 0.0239033527
F1 Score: [1.0, 0.9692451071761417, 0.9692451071761417, 1.0, 0.905982905982906, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9896315414, std: 0.0246554481
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: 26
Accuracy Cross: [1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9375, 0.96875, 0.96875, 0.96875, 0.9375]
  mean: 0.9833964646, std: 0.0223983636
F1 Score: [1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9352226720647774]
  mean: 0.9829289668, std: 0.0231287870
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9555555556, std: 0.1003081671
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.625, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9516278166, std: 0.1106586338
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9696969696969697, 0.8787878787878788, 0.9393939393939394, 1.0, 0.9696969696969697, 0.9375, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9796717172, std: 0.0345540002
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9695852534562213, 0.8786764705882353, 0.9393382352941176, 1.0, 0.9695852534562213, 0.9352226720647774, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9794938590, std: 0.0347734928
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, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8125, 0.875, 0.4375, 0.4375, 0.46875]
  mean: 0.8666666667, std: 0.2160447806
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8117647058823529, 0.875, 0.30434782608695654, 0.30434782608695654, 0.36374269005847953]
  mean: 0.8418114011, std: 0.2645015870
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, 0.9877525252525252, 1.0, 1.0, 1.0, 0.9231691919191919, 0.9875, 0.9875, 0.9833333333333333, 0.987752525252525, 0.9797979797979799, 0.9757575757575757, 0.9813762626262627, 0.9291666666666667, 0.9895833333333334, 0.9416666666666667, 0.9796717171717172, 1.0, 0.95625, 0.9551767676767675, 0.9479166666666666, 0.9613636363636363, 0.9547979797979796, 1.0, 0.9898989898989898, 0.9833964646464646, 0.9796717171717172, 0.8666666666666667, 1.0]
f1_score_list: [1.0, 0.9875830732168183, 1.0, 1.0, 1.0, 0.9203804238867499, 0.987450980392157, 0.9872751182555106, 0.9827585534252201, 0.9875614202050985, 0.9795977774895872, 0.9750109166624593, 0.981031845747114, 0.9279994430052917, 0.9893226559893227, 0.9394944766551471, 0.9794938589906382, 1.0, 0.9546098616281171, 0.9538720457037105, 0.9470973513364658, 0.9606130917654833, 0.953971893454652, 1.0, 0.9896315413556793, 0.9829289667659787, 0.9794938589906382, 0.8418114010721811, 1.0]
accuracy_intime_list: [1.0, 0.9777777777777777, 1.0, 1.0, 1.0, 0.9833333333333333, 1.0, 0.9944444444444444, 0.9611111111111111, 0.9944444444444444, 0.9888888888888888, 0.9777777777777777, 1.0, 0.9952380952380953, 1.0, 0.9888888888888889, 1.0, 1.0, 0.9666666666666667, 0.9388888888888888, 0.9777777777777777, 0.9388888888888889, 0.9833333333333333, 1.0, 0.9944444444444444, 0.9555555555555555, 1.0, 1.0, 1.0]
f1_in_time_list: [1.0, 0.9766278166278167, 1.0, 1.0, 1.0, 0.982977022977023, 1.0, 0.9944055944055944, 0.9593650793650795, 0.9944055944055944, 0.9888111888111888, 0.9773826173826176, 1.0, 0.9952136752136752, 1.0, 0.9885714285714287, 1.0, 1.0, 0.9644444444444444, 0.9338500388500389, 0.9766278166278166, 0.9308309990662933, 0.9829770229770229, 1.0, 0.9944055944055944, 0.9516278166278167, 1.0, 1.0, 1.0]
**************************************************
Mean Accuracy: 0.9734195402
Mean F1: 0.9720341571
Std Accuracy: 0.0295537308
Std F1: 0.0331475283
Mean Accuracy (Intime): 0.9868089765
Std Accuracy (Intime): 0.0180239594
Mean F1 (Intime): 0.9859490949
Std F1 (Intime): 0.0196926825
ACC: 97.34±2.96
F1: 97.20±3.31
Intime: 98.68±1.80
F1 (Intime): 98.59±1.97
