Learning Rate: 1e-05

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: [0.9090909090909091, 0.8787878787878788, 0.9696969696969697, 0.9696969696969697, 0.9090909090909091, 1.0, 0.9375, 0.96875, 1.0, 1.0, 0.9696969696969697, 0.9393939393939394, 0.9393939393939394, 0.8787878787878788, 0.8787878787878788]
  mean: 0.9432449495, std: 0.0426402367
F1 Score: [0.905982905982906, 0.8759398496240601, 0.9695852534562213, 0.9692451071761417, 0.9090909090909091, 1.0, 0.9372549019607843, 0.9684729064039409, 1.0, 1.0, 0.9692451071761417, 0.9379699248120301, 0.9379699248120301, 0.8730769230769231, 0.8730769230769231]
  mean: 0.9417940424, std: 0.0442249396
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, 0.9166666666666666, 0.9166666666666666, 1.0]
  mean: 0.9833333333, std: 0.0333333333
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, 0.8991596638655461, 0.916083916083916, 1.0]
  mean: 0.9820884997, std: 0.0360002445
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.96875, 0.9375, 1.0, 1.0, 0.96875, 0.9090909090909091, 1.0, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 0.9090909090909091, 0.9090909090909091, 1.0, 1.0]
  mean: 0.9694444444, std: 0.0351043028
F1 Score: [0.967967967967968, 0.9372549019607843, 1.0, 1.0, 0.9684729064039409, 0.9090909090909091, 1.0, 0.9692451071761417, 0.9695852534562213, 1.0, 1.0, 0.905982905982906, 0.905982905982906, 1.0, 1.0]
  mean: 0.9689055239, std: 0.0358401733
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, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0, 0.9696969696969697, 1.0, 1.0, 1.0]
  mean: 0.9898989899, std: 0.0142849855
F1 Score: [1.0, 1.0, 0.9692451071761417, 0.9692451071761417, 0.9692451071761417, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0, 0.9692451071761417, 1.0, 1.0, 1.0]
  mean: 0.9897483691, std: 0.0144979955
Accuracy Intime: [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, 1.0]
  mean: 0.9952380952, std: 0.0178174161
F1 In Time: [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, 1.0]
  mean: 0.9952136752, std: 0.0179087875
--------------------------------------------------
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, 0.96875, 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, 1.0, 1.0, 0.967967967967968, 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: 6
Accuracy Cross: [0.875, 0.875, 0.9375, 0.84375, 0.46875, 0.9696969696969697, 0.8787878787878788, 1.0, 0.9696969696969697, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9171717172, std: 0.1314257785
F1 Score: [0.8704453441295547, 0.875, 0.9372549019607843, 0.8423645320197044, 0.39756367663344405, 0.9692451071761417, 0.8730769230769231, 1.0, 0.9692451071761417, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9114777011, std: 0.1479708945
Accuracy Intime: [1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 1.0, 0.75]
  mean: 0.9722222222, std: 0.0657342198
F1 In Time: [1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334]
  mean: 0.9710334110, std: 0.0695744111
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 0.84375, 1.0, 0.90625, 1.0, 0.96875]
  mean: 0.9770833333, std: 0.0434013889
F1 Score: [1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0, 1.0, 0.8435972629521017, 1.0, 0.906158357771261, 1.0, 0.9684729064039409]
  mean: 0.9770116227, std: 0.0434533930
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888888889, std: 0.0415739710
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9885714286, std: 0.0427617987
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.8125, 1.0, 1.0, 1.0, 0.6875, 0.71875, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.9375, 0.96875, 0.96875]
  mean: 0.9375000000, std: 0.1033299731
F1 Score: [0.8117647058823529, 1.0, 1.0, 1.0, 0.6761133603238867, 0.7117117117117118, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 0.9352226720647774, 0.967967967967968, 0.967967967967968]
  mean: 0.9359144236, std: 0.1061806817
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888888889, std: 0.0415739710
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9885714286, std: 0.0427617987
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [1.0, 1.0, 1.0, 0.9375, 0.96875, 0.96875, 0.9375, 0.90625, 0.9375, 0.90625, 1.0, 1.0, 1.0, 0.9375, 0.9375]
  mean: 0.9625000000, std: 0.0346109328
F1 Score: [1.0, 1.0, 1.0, 0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.9352226720647774, 0.9015384615384616, 0.9352226720647774, 0.9015384615384616, 1.0, 1.0, 1.0, 0.9352226720647774, 0.9352226720647774]
  mean: 0.9610084146, std: 0.0361633391
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, 0.6666666666666666]
  mean: 0.9666666667, std: 0.0849836586
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, 0.625]
  mean: 0.9638111888, std: 0.0948909435
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.96875, 1.0, 0.78125, 0.9696969696969697, 0.9696969696969697, 0.9393939393939394, 0.9393939393939394, 0.9696969696969697]
  mean: 0.9671085859, std: 0.0539617276
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 0.967967967967968, 1.0, 0.751937984496124, 0.9692451071761417, 0.9695852534562213, 0.9379699248120301, 0.9393382352941176, 0.9692451071761417]
  mean: 0.9649174991, std: 0.0607933153
Accuracy Intime: [0.9285714285714286, 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: 0.9896825397, std: 0.0263941098
F1 In Time: [0.9282051282051282, 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: 0.9896192696, std: 0.0265581366
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9393939393939394, 1.0, 1.0, 0.9696969696969697, 0.9696969696969697, 0.9696969696969697, 0.9393939393939394, 0.9393939393939394, 0.7575757575757576, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182]
  mean: 0.9515151515, std: 0.0689241297
F1 Score: [0.9388888888888889, 1.0, 1.0, 0.9692451071761417, 0.9695852534562213, 0.9695852534562213, 0.9388888888888889, 0.9393382352941176, 0.7518796992481203, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0, 0.8180147058823529]
  mean: 0.9510007524, std: 0.0700183101
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, 0.96875, 0.9090909090909091, 0.9393939393939394, 0.8787878787878788, 0.9090909090909091, 0.9696969696969697, 0.9375, 0.96875, 1.0, 1.0, 1.0]
  mean: 0.9654040404, std: 0.0397650105
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.905982905982906, 0.9379699248120301, 0.8730769230769231, 0.905982905982906, 0.9692451071761417, 0.9372549019607843, 0.9684729064039409, 1.0, 1.0, 1.0]
  mean: 0.9643969029, std: 0.0412510503
Accuracy Intime: [1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0, 1.0, 1.0, 0.9166666666666666, 1.0]
  mean: 0.9722222222, std: 0.0657342198
F1 In Time: [1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 0.916083916083916, 1.0, 1.0, 1.0, 0.916083916083916, 1.0]
  mean: 0.9710334110, std: 0.0695744111
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.90625, 1.0, 0.59375, 0.9375, 0.90625, 0.45454545454545453, 1.0, 0.9393939393939394, 1.0, 0.9090909090909091, 0.96875, 0.84375, 0.65625, 0.875, 0.96875]
  mean: 0.8639520202, std: 0.1588504777
F1 Score: [0.906158357771261, 1.0, 0.5588547189819725, 0.9372549019607843, 0.906158357771261, 0.3125, 1.0, 0.9393382352941176, 1.0, 0.9087557603686636, 0.967967967967968, 0.8435972629521017, 0.5594493116395495, 0.8666666666666667, 0.967967967967968]
  mean: 0.8449779673, std: 0.1964212091
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, 0.8333333333333334, 0.9166666666666666]
  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, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 0.916083916083916]
  mean: 0.9829770230, std: 0.0462478382
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.4375, 1.0, 0.46875, 0.59375, 0.4375, 1.0, 0.96875, 0.90625, 1.0, 0.96875, 1.0, 0.90625, 1.0, 0.875, 0.9375]
  mean: 0.8333333333, std: 0.2164060933
F1 Score: [0.30434782608695654, 1.0, 0.36374269005847953, 0.5733333333333333, 0.30434782608695654, 1.0, 0.9684729064039409, 0.9039039039039038, 1.0, 0.967967967967968, 1.0, 0.9015384615384616, 1.0, 0.8666666666666667, 0.9352226720647774]
  mean: 0.8059696169, std: 0.2624167021
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: 15
Accuracy Cross: [0.9375, 0.96875, 0.9375, 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: 0.9895833333, std: 0.0218501843
F1 Score: [0.9352226720647774, 0.967967967967968, 0.9352226720647774, 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: 0.9892275541, std: 0.0226238394
Accuracy Intime: [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, 1.0]
  mean: 0.9952380952, std: 0.0178174161
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9251336898395721, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9950089127, std: 0.0186749388
--------------------------------------------------
Subject Number: 16
Accuracy Cross: [1.0, 0.96875, 0.9375, 1.0, 0.96875, 1.0, 0.65625, 0.875, 1.0, 0.5, 0.78125, 0.90625, 0.84375, 1.0, 0.84375]
  mean: 0.8854166667, std: 0.1409910360
F1 Score: [1.0, 0.9684729064039409, 0.9372549019607843, 1.0, 0.9684729064039409, 1.0, 0.6389743589743591, 0.875, 1.0, 0.4181818181818182, 0.7702564102564102, 0.906158357771261, 0.8358974358974359, 1.0, 0.8303287380699894]
  mean: 0.8765998556, std: 0.1590166024
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, 1.0, 0.9696969696969697, 1.0, 0.9375, 1.0, 0.9375, 0.9375, 0.9375]
  mean: 0.9712121212, std: 0.0327105503
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9090909090909091, 1.0, 0.9695852534562213, 1.0, 0.9352226720647774, 1.0, 0.9352226720647774, 0.9352226720647774, 0.9352226720647774]
  mean: 0.9705936724, std: 0.0333494594
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, 0.46875, 1.0, 0.9375, 1.0, 0.875, 1.0, 0.96875, 1.0, 1.0, 1.0]
  mean: 0.9500000000, std: 0.1329747783
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.36374269005847953, 1.0, 0.9352226720647774, 1.0, 0.8745098039215686, 1.0, 0.9684729064039409, 1.0, 1.0, 1.0]
  mean: 0.9427965382, std: 0.1584671728
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: [0.96875, 1.0, 0.9375, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 0.96875, 0.9375, 0.90625, 0.90625, 0.90625]
  mean: 0.9666666667, std: 0.0369167607
F1 Score: [0.9684729064039409, 1.0, 0.9372549019607843, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.967967967967968, 0.967967967967968, 0.9352226720647774, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616]
  mean: 0.9654334534, std: 0.0385922625
Accuracy Intime: [0.7857142857142857, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9579365079, std: 0.0855009102
F1 In Time: [0.7846153846153847, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.7333333333333334, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9564346764, std: 0.0888520634
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [1.0, 0.96875, 0.96875, 0.96875, 0.9375, 1.0, 0.9375, 0.96875, 0.9375, 0.96875, 0.9090909090909091, 0.9090909090909091, 0.8484848484848485, 0.9393939393939394, 0.8484848484848485]
  mean: 0.9407196970, std: 0.0447250490
F1 Score: [1.0, 0.967967967967968, 0.9684729064039409, 0.967967967967968, 0.9365079365079365, 1.0, 0.9365079365079365, 0.967967967967968, 0.9352226720647774, 0.967967967967968, 0.905982905982906, 0.905982905982906, 0.8390243902439025, 0.9379699248120301, 0.8390243902439025]
  mean: 0.9384378560, std: 0.0475119191
Accuracy Intime: [1.0, 1.0, 1.0, 0.5, 0.9166666666666666, 1.0, 1.0, 1.0, 0.8333333333333334, 0.75, 1.0, 1.0, 0.9166666666666666, 1.0, 0.8333333333333334]
  mean: 0.9166666667, std: 0.1360827635
F1 In Time: [1.0, 1.0, 1.0, 0.3333333333333333, 0.916083916083916, 1.0, 1.0, 1.0, 0.8285714285714285, 0.7333333333333334, 1.0, 1.0, 0.8991596638655461, 1.0, 0.8285714285714285]
  mean: 0.9026035403, std: 0.1730608164
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.96875, 0.8125, 1.0, 0.78125, 0.90625, 0.96875, 0.9375, 0.96875, 0.96875, 1.0, 0.9375, 1.0, 0.9375, 0.9375, 0.96875]
  mean: 0.9395833333, std: 0.0619419531
F1 Score: [0.967967967967968, 0.8, 1.0, 0.7793103448275862, 0.9015384615384616, 0.9684729064039409, 0.9372549019607843, 0.9684729064039409, 0.967967967967968, 1.0, 0.9365079365079365, 1.0, 0.9352226720647774, 0.9365079365079365, 0.967967967967968]
  mean: 0.9378127980, std: 0.0641100509
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: [0.9375, 0.90625, 0.9375, 0.9375, 0.90625, 0.9090909090909091, 0.696969696969697, 0.8484848484848485, 0.7272727272727273, 0.9393939393939394, 1.0, 1.0, 1.0, 1.0, 0.96875]
  mean: 0.9143308081, std: 0.0899211541
F1 Score: [0.9352226720647774, 0.9015384615384616, 0.9352226720647774, 0.9352226720647774, 0.9015384615384616, 0.9087557603686636, 0.6944444444444444, 0.8433048433048433, 0.7262672811059908, 0.9379699248120301, 1.0, 1.0, 1.0, 1.0, 0.967967967967968]
  mean: 0.9124970108, std: 0.0906173355
Accuracy Intime: [1.0, 1.0, 1.0, 0.6666666666666666, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666]
  mean: 0.9277777778, std: 0.1249691320
F1 In Time: [1.0, 1.0, 1.0, 0.625, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.7482517482517483, 1.0, 1.0, 1.0, 1.0, 0.625]
  mean: 0.9217882118, std: 0.1371759649
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 0.9393939393939394, 0.96875, 0.75, 0.96875, 0.875, 1.0, 0.8787878787878788, 0.9090909090909091, 0.9090909090909091, 0.9696969696969697, 0.8787878787878788]
  mean: 0.9364898990, std: 0.0683521185
F1 Score: [1.0, 1.0, 1.0, 1.0, 0.9379699248120301, 0.9684729064039409, 0.746031746031746, 0.9684729064039409, 0.875, 1.0, 0.8730769230769231, 0.905982905982906, 0.905982905982906, 0.9692451071761417, 0.8730769230769231]
  mean: 0.9348874833, std: 0.0698613619
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, 0.8333333333333334]
  mean: 0.9777777778, std: 0.0477906959
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, 0.8285714285714285]
  mean: 0.9773826174, std: 0.0488524195
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.90625, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0]
  mean: 0.9895833333, std: 0.0246503324
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9684729064039409, 1.0, 0.906158357771261, 1.0, 1.0, 1.0, 0.967967967967968, 1.0, 1.0]
  mean: 0.9895066155, std: 0.0247313509
Accuracy Intime: [1.0, 0.9285714285714286, 1.0, 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: 0.9952380952, std: 0.0178174161
F1 In Time: [1.0, 0.9251336898395721, 1.0, 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: 0.9950089127, std: 0.0186749388
--------------------------------------------------
Subject Number: 25
Accuracy Cross: [1.0, 0.9393939393939394, 1.0, 1.0, 0.9696969696969697, 1.0, 0.84375, 1.0, 0.71875, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9647727273, std: 0.0772410004
F1 Score: [1.0, 0.9388888888888889, 1.0, 1.0, 0.9692451071761417, 1.0, 0.8435972629521017, 1.0, 0.7117117117117118, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9642295314, std: 0.0787652581
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, 1.0, 1.0, 1.0, 0.9375, 0.9375, 1.0, 0.96875, 0.96875, 0.96875, 0.90625, 0.90625, 0.90625]
  mean: 0.9646464646, std: 0.0358511383
F1 Score: [1.0, 1.0, 0.9695852534562213, 1.0, 1.0, 1.0, 0.9372549019607843, 0.9352226720647774, 1.0, 0.967967967967968, 0.967967967967968, 0.967967967967968, 0.9015384615384616, 0.9015384615384616, 0.9015384615384616]
  mean: 0.9633721411, std: 0.0375022510
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666]
  mean: 0.9611111111, std: 0.0906083691
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.625, 1.0, 1.0, 1.0, 1.0, 0.8285714285714285, 1.0, 1.0, 1.0, 1.0, 0.916083916083916]
  mean: 0.9579770230, std: 0.1001883910
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393939393939394, 0.9090909090909091, 1.0, 0.9696969696969697, 1.0, 0.9375, 1.0, 0.9375, 0.9375, 0.9375]
  mean: 0.9712121212, std: 0.0327105503
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9393382352941176, 0.9090909090909091, 1.0, 0.9695852534562213, 1.0, 0.9352226720647774, 1.0, 0.9352226720647774, 0.9352226720647774, 0.9352226720647774]
  mean: 0.9705936724, std: 0.0333494594
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, 0.96875, 0.9375, 1.0, 1.0, 0.9375, 0.96875, 0.96875, 0.65625, 0.5625, 0.5625, 0.9375, 0.6875]
  mean: 0.8645833333, std: 0.1538002402
F1 Score: [0.9352226720647774, 0.9352226720647774, 0.9015384615384616, 0.9684729064039409, 0.9352226720647774, 1.0, 1.0, 0.9352226720647774, 0.967967967967968, 0.967967967967968, 0.6389743589743591, 0.5151515151515151, 0.5151515151515151, 0.9372549019607843, 0.6761133603238867]
  mean: 0.8552989096, std: 0.1682823386
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: 29
Accuracy Cross: [1.0, 1.0, 0.9375, 1.0, 0.96875, 1.0, 0.96875, 1.0, 1.0, 0.9375, 0.9696969696969697, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9854797980, std: 0.0223924908
F1 Score: [1.0, 1.0, 0.9352226720647774, 1.0, 0.967967967967968, 1.0, 0.967967967967968, 1.0, 1.0, 0.9352226720647774, 0.9695852534562213, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9850644356, std: 0.0231276128
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
--------------------------------------------------
**************************************************
accuracy_cross_list: [1.0, 0.9432449494949495, 0.9694444444444443, 0.9898989898989898, 0.9979166666666667, 0.9171717171717172, 0.9770833333333333, 0.9375, 0.9625, 0.9671085858585857, 0.9515151515151514, 0.9654040404040404, 0.8639520202020202, 0.8333333333333334, 0.9895833333333334, 0.8854166666666666, 0.9712121212121212, 0.95, 0.9666666666666667, 0.9407196969696968, 0.9395833333333333, 0.914330808080808, 0.936489898989899, 0.9895833333333334, 0.9647727272727273, 0.9646464646464646, 0.9712121212121212, 0.8645833333333334, 0.9854797979797979]
f1_score_list: [1.0, 0.9417940424432675, 0.9689055238681185, 0.989748369058714, 0.9978645311978646, 0.9114777011323149, 0.9770116226623456, 0.9359144235924421, 0.9610084146224497, 0.9649174991188457, 0.951000752383145, 0.9643969028909065, 0.8449779672894877, 0.8059696169407629, 0.9892275541398348, 0.8765998555946626, 0.9705936724066903, 0.942796538163251, 0.9654334533987216, 0.9384378560414742, 0.9378127980079513, 0.9124970107516798, 0.934887483263164, 0.9895066154762113, 0.9642295313819229, 0.9633721410667382, 0.9705936724066903, 0.8552989095799675, 0.9850644355681142]
accuracy_intime_list: [1.0, 0.9833333333333332, 1.0, 0.9952380952380953, 1.0, 0.9722222222222221, 0.9888888888888889, 0.9888888888888889, 0.9666666666666666, 0.9896825396825396, 0.9944444444444444, 0.9722222222222221, 0.9833333333333333, 0.9944444444444444, 0.9952380952380953, 1.0, 1.0, 1.0, 0.9579365079365079, 0.9166666666666666, 0.9777777777777777, 0.9277777777777777, 0.9777777777777777, 0.9952380952380953, 1.0, 0.961111111111111, 1.0, 0.9944444444444444, 0.9944444444444444]
f1_in_time_list: [1.0, 0.9820884997355587, 1.0, 0.9952136752136752, 1.0, 0.9710334110334112, 0.9885714285714287, 0.9885714285714287, 0.9638111888111889, 0.9896192696192697, 0.9944055944055944, 0.9710334110334112, 0.982977022977023, 0.9944055944055944, 0.9950089126559715, 1.0, 1.0, 1.0, 0.9564346764346764, 0.9026035402505992, 0.9766278166278166, 0.9217882117882118, 0.9773826173826176, 0.9950089126559715, 1.0, 0.957977022977023, 1.0, 0.9944055944055944, 0.9944055944055944]
**************************************************
Mean Accuracy: 0.9486328805
Mean F1: 0.9452185826
Std Accuracy: 0.0413347140
Std F1: 0.0466064543
Mean Accuracy (Intime): 0.9837164751
Std Accuracy (Intime): 0.0207573111
Mean F1 (Intime): 0.9825301181
Std F1 (Intime): 0.0232225999
ACC: 94.86±4.13
F1: 94.52±4.66
Intime: 98.37±2.08
F1 (Intime): 98.25±2.32
