Learning Rate: 0.0001

Subject Number: 1
Accuracy Cross: [0.8452380952380952, 0.7619047619047619, 0.8214285714285714, 0.9761904761904762, 0.8214285714285714, 0.9642857142857143, 0.9642857142857143, 0.9523809523809523, 0.9642857142857143, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9761904761904762, 0.9166666666666666, 0.9761904761904762]
  mean: 0.9246031746, std: 0.0713844661
F1 Score: [0.8414403949470016, 0.7475961538461539, 0.8155467720685112, 0.9761769710720363, 0.8155467720685112, 0.9642401021711366, 0.9642401021711366, 0.9522727272727273, 0.9642401021711366, 0.9642401021711366, 1.0, 0.9642806520198441, 0.9761769710720363, 0.916083916083916, 0.9761769710720363]
  mean: 0.9225505807, std: 0.0749808922
Accuracy Intime: [1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9881127451, std: 0.0180966358
F1 In Time: [1.0, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0, 1.0, 0.9705627705627706, 0.970357454228422, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 1.0]
  mean: 0.9880232006, std: 0.0182733798
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.9761904761904762, 0.9404761904761905, 0.9285714285714286, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9761904761904762, 0.9166666666666666, 0.9404761904761905, 0.9880952380952381, 0.9761904761904762, 0.9761904761904762, 0.9880952380952381, 0.9880952380952381]
  mean: 0.9634920635, std: 0.0215019320
F1 Score: [0.9761769710720363, 0.9402645427392974, 0.9282051282051282, 0.9642401021711366, 0.9642401021711366, 0.9642401021711366, 0.9642401021711366, 0.9761769710720363, 0.916083916083916, 0.9402645427392974, 0.9880935506732813, 0.9761769710720363, 0.9761769710720363, 0.9880935506732813, 0.9880935506732813]
  mean: 0.9633844717, std: 0.0216535252
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9375]
  mean: 0.9859068627, std: 0.0189099134
F1 In Time: [1.0, 1.0, 0.970357454228422, 0.970357454228422, 1.0, 1.0, 1.0, 0.970357454228422, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 0.9372549019607843]
  mean: 0.9858269448, std: 0.0190035253
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.7619047619047619, 0.6190476190476191, 0.7857142857142857, 0.7380952380952381, 0.6547619047619048, 0.9761904761904762, 0.9642857142857143, 0.9166666666666666, 0.9523809523809523, 0.9047619047619048, 0.8095238095238095, 0.8095238095238095, 0.7976190476190477, 0.8214285714285714, 0.8333333333333334]
  mean: 0.8230158730, std: 0.1029484701
F1 Score: [0.7475961538461539, 0.5543766578249337, 0.7754010695187166, 0.71880706025563, 0.6080450522928399, 0.9761769710720363, 0.9642401021711366, 0.916083916083916, 0.9522727272727273, 0.9038901601830663, 0.8023529411764705, 0.8023529411764705, 0.7889759125166248, 0.8155467720685112, 0.8285714285714285]
  mean: 0.8103126577, std: 0.1189356187
Accuracy Intime: [0.9411764705882353, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 0.9117647058823529, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9411764705882353, 1.0]
  mean: 0.9725490196, std: 0.0293463324
F1 In Time: [0.9403508771929825, 1.0, 0.9403508771929825, 0.970357454228422, 1.0, 0.9409722222222222, 1.0, 0.9110723626852659, 1.0, 1.0, 0.970357454228422, 1.0, 0.970357454228422, 0.9403508771929825, 1.0]
  mean: 0.9722779719, std: 0.0296365042
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9523809523809523, 0.9523809523809523, 0.9523809523809523, 0.9761904761904762, 0.9285714285714286, 0.8571428571428571, 0.9404761904761905, 0.9285714285714286, 0.9523809523809523, 0.9166666666666666, 0.75, 0.8690476190476191, 0.8571428571428571, 0.8452380952380952, 0.8690476190476191]
  mean: 0.9031746032, std: 0.0584614186
F1 Score: [0.9522727272727273, 0.9522727272727273, 0.9522727272727273, 0.9761769710720363, 0.9282051282051282, 0.8568181818181818, 0.9404677533664068, 0.9285309132161089, 0.9523809523809523, 0.9165602383993188, 0.7333333333333334, 0.86676279740447, 0.8541666666666667, 0.8414403949470016, 0.86676279740447]
  mean: 0.9012282873, std: 0.0619809615
Accuracy Intime: [1.0, 1.0, 1.0, 0.9411764705882353, 0.96875, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9841911765, std: 0.0212027513
F1 In Time: [1.0, 1.0, 1.0, 0.9403508771929825, 0.9687194525904204, 0.9705627705627706, 0.970357454228422, 1.0, 0.9403508771929825, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0]
  mean: 0.9840465924, std: 0.0214487788
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.8809523809523809, 0.9285714285714286, 0.8571428571428571, 0.9166666666666666, 0.8690476190476191, 0.9761904761904762, 1.0, 0.9880952380952381, 0.9642857142857143, 0.9642857142857143, 0.9166666666666666, 0.9166666666666666, 0.9047619047619048, 0.9642857142857143, 0.7857142857142857]
  mean: 0.9222222222, std: 0.0556461846
F1 Score: [0.879862700228833, 0.928409090909091, 0.8541666666666667, 0.916083916083916, 0.86676279740447, 0.9761769710720363, 1.0, 0.9880935506732813, 0.9642401021711366, 0.9642401021711366, 0.9163703598350164, 0.9165602383993188, 0.9038901601830663, 0.9642806520198441, 0.7754010695187166]
  mean: 0.9209692252, std: 0.0577998298
Accuracy Intime: [0.9411764705882353, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9823529412, std: 0.0209354476
F1 In Time: [0.9403508771929825, 0.9705627705627706, 0.970357454228422, 1.0, 1.0, 1.0, 0.970357454228422, 0.9409722222222222, 1.0, 1.0, 0.970357454228422, 1.0, 0.970357454228422, 1.0, 1.0]
  mean: 0.9822210458, std: 0.0211063983
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.9642857142857143, 0.9523809523809523, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9880952380952381, 0.9166666666666666, 0.9761904761904762, 0.9642857142857143, 0.9523809523809523, 0.9285714285714286, 0.9761904761904762, 1.0, 0.9166666666666666, 0.9404761904761905]
  mean: 0.9579365079, std: 0.0233554587
F1 Score: [0.9642401021711366, 0.9523809523809523, 0.9642401021711366, 0.9642401021711366, 0.9642806520198441, 0.9880935506732813, 0.9165602383993188, 0.9761904761904762, 0.9642806520198441, 0.9522727272727273, 0.928409090909091, 0.9761769710720363, 1.0, 0.916083916083916, 0.9402645427392974]
  mean: 0.9578476051, std: 0.0234592335
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0]
  mean: 0.9941176471, std: 0.0159294871
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9409722222222222, 1.0, 1.0, 1.0]
  mean: 0.9941023329, std: 0.0159772585
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.8214285714285714, 0.9761904761904762, 0.9642857142857143, 0.9642857142857143, 0.7738095238095238, 0.9642857142857143, 0.9404761904761905, 0.9523809523809523, 0.9523809523809523, 0.9642857142857143, 0.8095238095238095, 0.9523809523809523, 0.9880952380952381, 0.9642857142857143, 0.9761904761904762]
  mean: 0.9309523810, std: 0.0662401321
F1 Score: [0.8170466095542326, 0.9761769710720363, 0.9642806520198441, 0.9642401021711366, 0.761613144137416, 0.9642401021711366, 0.9402645427392974, 0.9522727272727273, 0.9522727272727273, 0.9642401021711366, 0.8040816326530613, 0.9522727272727273, 0.9880935506732813, 0.9642401021711366, 0.9761769710720363]
  mean: 0.9294341776, std: 0.0693113776
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.96875, 0.9117647058823529, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9375]
  mean: 0.9800245098, std: 0.0260040819
F1 In Time: [0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 0.9687194525904204, 0.9110723626852659, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 0.9372549019607843]
  mean: 0.9799394989, std: 0.0261604294
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [1.0, 0.9880952380952381, 1.0, 0.9761904761904762, 0.9880952380952381, 0.9761904761904762, 0.9880952380952381, 0.9761904761904762, 1.0, 1.0, 0.9880952380952381, 0.9761904761904762, 0.9642857142857143, 0.9880952380952381, 0.9761904761904762]
  mean: 0.9857142857, std: 0.0108239537
F1 Score: [1.0, 0.9880935506732813, 1.0, 0.9761769710720363, 0.9880935506732813, 0.9761769710720363, 0.9880935506732813, 0.9761769710720363, 1.0, 1.0, 0.9880935506732813, 0.9761769710720363, 0.9642401021711366, 0.9880935506732813, 0.9761769710720363]
  mean: 0.9857061807, std: 0.0108338127
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: [0.9880952380952381, 1.0, 0.9642857142857143, 1.0, 1.0, 0.8809523809523809, 0.9285714285714286, 0.9523809523809523, 0.8928571428571429, 0.9404761904761905, 0.9166666666666666, 0.8690476190476191, 0.9047619047619048, 0.9166666666666666, 0.9285714285714286]
  mean: 0.9388888889, std: 0.0425621831
F1 Score: [0.9880935506732813, 1.0, 0.9642401021711366, 1.0, 1.0, 0.8803418803418803, 0.9285714285714286, 0.9523539421440725, 0.8924761769307352, 0.9404677533664068, 0.916083916083916, 0.86676279740447, 0.9038901601830663, 0.916083916083916, 0.9282051282051282]
  mean: 0.9385047168, std: 0.0429874211
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9980392157, std: 0.0073365831
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9980375180, std: 0.0073429351
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9404761904761905, 0.9285714285714286, 0.9047619047619048, 0.9523809523809523, 0.8690476190476191, 0.9761904761904762, 0.9880952380952381, 0.9523809523809523, 0.9880952380952381, 0.9642857142857143, 0.8571428571428571, 0.8928571428571429, 0.9404761904761905, 0.8928571428571429, 0.9166666666666666]
  mean: 0.9309523810, std: 0.0398883552
F1 Score: [0.9404677533664068, 0.928409090909091, 0.9045454545454545, 0.9523809523809523, 0.8681318681318682, 0.9761904761904762, 0.9880935506732813, 0.9523539421440725, 0.9880935506732813, 0.9642806520198441, 0.8550891316848763, 0.89272030651341, 0.9404001702852277, 0.8928419560595322, 0.9166548547129695]
  mean: 0.9307102474, std: 0.0402554993
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0]
  mean: 0.9882352941, std: 0.0209354476
F1 In Time: [0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9409722222222222, 1.0, 1.0, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0]
  mean: 0.9881632427, std: 0.0210930715
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9523809523809523, 0.9166666666666666, 0.8928571428571429, 0.9166666666666666, 0.8928571428571429, 0.9523809523809523, 0.9523809523809523, 0.9642857142857143, 0.9523809523809523, 0.9523809523809523, 0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 0.9880952380952381, 1.0]
  mean: 0.9523809524, std: 0.0331057994
F1 Score: [0.9522727272727273, 0.916083916083916, 0.8916129032258064, 0.916083916083916, 0.8916129032258064, 0.9522727272727273, 0.9522727272727273, 0.9642401021711366, 0.9522727272727273, 0.9522727272727273, 0.9880935506732813, 0.9880935506732813, 0.9761904761904762, 0.9880935506732813, 1.0]
  mean: 0.9520979004, std: 0.0334869066
Accuracy Intime: [0.9411764705882353, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9921568627, std: 0.0168673044
F1 In Time: [0.9411764705882353, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9921534674, std: 0.0168716478
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.9166666666666666, 0.9285714285714286, 0.9761904761904762, 0.9761904761904762, 0.8809523809523809, 0.9404761904761905, 0.9404761904761905, 0.8571428571428571, 0.9285714285714286, 0.8571428571428571, 0.9166666666666666, 0.9166666666666666, 0.9166666666666666, 0.9166666666666666, 0.9166666666666666]
  mean: 0.9190476190, std: 0.0334465199
F1 Score: [0.916083916083916, 0.9282051282051282, 0.9761769710720363, 0.9761769710720363, 0.8792409430707303, 0.9402645427392974, 0.9402645427392974, 0.8541666666666667, 0.9282051282051282, 0.8541666666666667, 0.9163703598350164, 0.9165602383993188, 0.9165602383993188, 0.9165602383993188, 0.9163703598350164]
  mean: 0.9183581941, std: 0.0342867898
Accuracy Intime: [0.9117647058823529, 1.0, 1.0, 1.0, 0.9375, 0.9705882352941176, 1.0, 1.0, 1.0, 0.96875, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9839460784, std: 0.0264983741
F1 In Time: [0.9116883116883117, 1.0, 1.0, 1.0, 0.9372549019607843, 0.9705627705627706, 1.0, 1.0, 1.0, 0.9687194525904204, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9839192138, std: 0.0265438002
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.8809523809523809, 0.9404761904761905, 0.8809523809523809, 0.9166666666666666, 0.8452380952380952, 0.9761904761904762, 0.9880952380952381, 0.9880952380952381, 0.9642857142857143, 0.9761904761904762, 0.9523809523809523, 0.9642857142857143, 0.9523809523809523, 0.9523809523809523, 0.9880952380952381]
  mean: 0.9444444444, std: 0.0427394032
F1 Score: [0.8792409430707303, 0.9402645427392974, 0.8792409430707303, 0.916083916083916, 0.8414403949470016, 0.9761769710720363, 0.9880935506732813, 0.9880935506732813, 0.9642401021711366, 0.9761769710720363, 0.9522727272727273, 0.9642401021711366, 0.9522727272727273, 0.9522727272727273, 0.9880935506732813]
  mean: 0.9438802480, std: 0.0436860511
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9117647058823529, 1.0, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9823529412, std: 0.0258645215
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 0.9116883116883117, 1.0, 0.9705627705627706, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705627705627706, 1.0]
  mean: 0.9823410576, std: 0.0258815122
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.9642857142857143, 0.9880952380952381, 0.9404761904761905, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 1.0, 0.9880952380952381, 0.9880952380952381, 0.9880952380952381, 0.6428571428571429, 0.7380952380952381, 0.75, 0.7023809523809523, 0.6904761904761905]
  mean: 0.8880952381, std: 0.1321946845
F1 Score: [0.9642401021711366, 0.9880935506732813, 0.9404677533664068, 0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 1.0, 0.9880935506732813, 0.9880935506732813, 0.9880935506732813, 0.5906432748538011, 0.71880706025563, 0.7333333333333334, 0.6734566941377702, 0.6576802507836991]
  mean: 0.8780953250, std: 0.1473335928
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 1.0, 0.96875, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939950980, std: 0.0120160548
F1 In Time: [1.0, 1.0, 0.9705627705627706, 1.0, 0.9687194525904204, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939896662, std: 0.0120269473
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.9246031746031744, 0.9634920634920633, 0.8230158730158731, 0.9031746031746031, 0.922222222222222, 0.9579365079365078, 0.930952380952381, 0.9857142857142855, 0.9388888888888888, 0.9309523809523808, 0.9523809523809523, 0.9190476190476189, 0.9444444444444443, 0.8880952380952379]
f1_score_list: [0.922550580680488, 0.9633844716506782, 0.8103126577353775, 0.9012282873354837, 0.9209692251557686, 0.9578476050849464, 0.9294341776282622, 0.9857061807265147, 0.9385047168106293, 0.9307102473527163, 0.952097900357636, 0.9183581940925927, 0.9438802480157366, 0.8780953250075065]
accuracy_intime_list: [0.9881127450980393, 0.9859068627450981, 0.9725490196078431, 0.9841911764705883, 0.9823529411764705, 0.9941176470588236, 0.9800245098039216, 1.0, 0.9980392156862745, 0.9882352941176471, 0.9921568627450981, 0.9839460784313726, 0.9823529411764707, 0.9939950980392157]
f1_in_time_list: [0.9880232005868679, 0.9858269447643262, 0.9722779719447802, 0.9840465923997334, 0.9822210457927775, 0.9941023328523327, 0.9799394988768804, 1.0, 0.9980375180375181, 0.9881632427027164, 0.992153467447585, 0.983919213824337, 0.9823410576351752, 0.9939896662477307]
**************************************************
Mean Accuracy: 0.9274943311
Mean F1: 0.9252199870
Std Accuracy: 0.0376444980
Std F1: 0.0410113152
Mean Accuracy (Intime): 0.9875700280
Std Accuracy (Intime): 0.0072425055
Mean F1 (Intime): 0.9875029824
Std F1 (Intime): 0.0073010011
ACC: 92.75±3.76
F1: 92.52±4.10
Intime: 98.76±0.72
F1 (Intime): 98.75±0.73
