Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.7976190476190477, 0.9642857142857143, 0.8452380952380952, 0.8095238095238095, 0.7738095238095238, 0.9761904761904762, 0.9761904761904762, 0.9761904761904762, 0.9761904761904762, 0.9761904761904762, 0.9047619047619048, 0.9523809523809523, 0.9404761904761905, 0.9404761904761905, 0.9761904761904762]
  mean: 0.9190476190, std: 0.0717189863
F1 Score: [0.7889759125166248, 0.9642806520198441, 0.8425378514780101, 0.8040816326530613, 0.761613144137416, 0.9761769710720363, 0.9761769710720363, 0.9761769710720363, 0.9761769710720363, 0.9761769710720363, 0.9038901601830663, 0.9522727272727273, 0.9402645427392974, 0.9402645427392974, 0.9761769710720363]
  mean: 0.9170161995, std: 0.0750892189
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959558824, std: 0.0103159782
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959384605, std: 0.0103592523
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [1.0, 0.9047619047619048, 0.8809523809523809, 0.9285714285714286, 0.8928571428571429, 0.9642857142857143, 0.8928571428571429, 0.9404761904761905, 0.9047619047619048, 0.9047619047619048, 0.9523809523809523, 0.9761904761904762, 0.9761904761904762, 0.9523809523809523, 1.0]
  mean: 0.9380952381, std: 0.0386858972
F1 Score: [1.0, 0.9038901601830663, 0.8792409430707303, 0.928409090909091, 0.8916129032258064, 0.9642401021711366, 0.8916129032258064, 0.9402645427392974, 0.9038901601830663, 0.9038901601830663, 0.9522727272727273, 0.9761769710720363, 0.9761769710720363, 0.9522727272727273, 1.0]
  mean: 0.9375966908, std: 0.0391920028
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 0.96875]
  mean: 0.9899509804, std: 0.0142209676
F1 In Time: [0.9705627705627706, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 0.9687194525904204]
  mean: 0.9899144389, std: 0.0142713669
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.6666666666666666, 0.8095238095238095, 0.8095238095238095, 0.9523809523809523, 0.7142857142857143, 0.9642857142857143, 0.7619047619047619, 0.8690476190476191, 0.9642857142857143, 0.9523809523809523, 0.8333333333333334, 0.8095238095238095, 0.7619047619047619, 0.7619047619047619, 0.8214285714285714]
  mean: 0.8301587302, std: 0.0905040336
F1 Score: [0.625, 0.8023529411764705, 0.8023529411764705, 0.9522727272727273, 0.6888888888888889, 0.9642806520198441, 0.7529411764705882, 0.86676279740447, 0.9642806520198441, 0.9522727272727273, 0.8285714285714285, 0.8023529411764705, 0.7569444444444444, 0.7475961538461539, 0.8183129055515501]
  mean: 0.8216788918, std: 0.0995695207
Accuracy Intime: [0.9705882352941176, 1.0, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.8529411764705882, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9705882352941176, 0.96875]
  mean: 0.9704656863, std: 0.0387251024
F1 In Time: [0.9705627705627706, 1.0, 0.9098143236074271, 0.970357454228422, 1.0, 0.9705627705627706, 1.0, 0.8464317976513098, 1.0, 1.0, 0.970357454228422, 1.0, 0.970357454228422, 0.970357454228422, 0.9687194525904204]
  mean: 0.9698347288, std: 0.0402440810
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9404761904761905, 0.8928571428571429, 0.8214285714285714, 0.9642857142857143, 0.9404761904761905, 0.8809523809523809, 0.8452380952380952, 0.9166666666666666, 0.9166666666666666, 0.9047619047619048, 0.8928571428571429, 0.8690476190476191, 0.8095238095238095, 0.8214285714285714, 0.9761904761904762]
  mean: 0.8928571429, std: 0.0503202142
F1 Score: [0.9402645427392974, 0.8916129032258064, 0.8155467720685112, 0.9642401021711366, 0.9402645427392974, 0.8806818181818181, 0.8441558441558441, 0.916083916083916, 0.916083916083916, 0.9038901601830663, 0.8916129032258064, 0.86676279740447, 0.8023529411764705, 0.8155467720685112, 0.9761769710720363]
  mean: 0.8910184602, std: 0.0523013636
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9960784314, std: 0.0099980775
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, 0.970357454228422, 0.970357454228422, 1.0, 1.0]
  mean: 0.9960476606, std: 0.0100765280
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.8809523809523809, 0.8571428571428571, 0.8690476190476191, 0.8809523809523809, 0.8690476190476191, 0.9880952380952381, 0.8809523809523809, 0.8928571428571429, 0.9166666666666666, 0.9761904761904762, 0.8571428571428571, 0.8928571428571429, 0.9404761904761905, 0.8928571428571429, 0.8333333333333334]
  mean: 0.8952380952, std: 0.0419660447
F1 Score: [0.8803418803418803, 0.8558352402745995, 0.8688803746275011, 0.8806818181818181, 0.8675268817204301, 0.9880935506732813, 0.8792409430707303, 0.8916129032258064, 0.9163703598350164, 0.9761769710720363, 0.8564102564102565, 0.8916129032258064, 0.9404677533664068, 0.8924761769307352, 0.8285714285714285]
  mean: 0.8942866294, std: 0.0426949078
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9117647058823529, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 0.9705882352941176, 1.0]
  mean: 0.9784313725, std: 0.0273105652
F1 In Time: [0.970357454228422, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9409722222222222, 0.9116883116883117, 1.0, 1.0, 1.0, 0.9403508771929825, 0.9705627705627706, 0.9705627705627706, 1.0]
  mean: 0.9783371451, std: 0.0274230966
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.9166666666666666, 0.8571428571428571, 0.8690476190476191, 0.9880952380952381, 0.9404761904761905, 0.9047619047619048, 0.9047619047619048, 0.9047619047619048, 0.9880952380952381, 0.9523809523809523, 0.8928571428571429, 0.8333333333333334, 0.5833333333333334, 0.7142857142857143, 0.9285714285714286]
  mean: 0.8785714286, std: 0.1020574438
F1 Score: [0.9163703598350164, 0.8570618264322178, 0.8685819940264543, 0.9880935506732813, 0.9404677533664068, 0.9038901601830663, 0.9038901601830663, 0.9038901601830663, 0.9880935506732813, 0.9522727272727273, 0.8924761769307352, 0.8298611111111112, 0.5818517991750818, 0.6888888888888889, 0.9282051282051282]
  mean: 0.8762596898, std: 0.1052422399
Accuracy Intime: [0.9411764705882353, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9375, 1.0, 0.9705882352941176, 1.0, 1.0, 0.96875, 0.9705882352941176, 0.9411764705882353, 0.9117647058823529, 1.0, 1.0]
  mean: 0.9721813725, std: 0.0276173399
F1 In Time: [0.9409722222222222, 0.9705627705627706, 0.970357454228422, 1.0, 0.9375, 1.0, 0.970357454228422, 1.0, 1.0, 0.9687194525904204, 0.9705627705627706, 0.9403508771929825, 0.9116883116883117, 1.0, 1.0]
  mean: 0.9720714209, std: 0.0277084251
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.9404761904761905, 0.9523809523809523, 0.9642857142857143, 0.8571428571428571, 0.7976190476190477, 0.9047619047619048, 0.8928571428571429, 0.8809523809523809, 0.9642857142857143, 0.8690476190476191, 0.7857142857142857, 0.8571428571428571, 0.7380952380952381, 0.7380952380952381, 0.6071428571428571]
  mean: 0.8500000000, std: 0.0972797044
F1 Score: [0.9404677533664068, 0.9523809523809523, 0.9642401021711366, 0.8541666666666667, 0.7889759125166248, 0.9045454545454545, 0.8916129032258064, 0.8792409430707303, 0.9642401021711366, 0.86676279740447, 0.7754010695187166, 0.8570618264322178, 0.7326388888888888, 0.7356979405034325, 0.6043956043956044]
  mean: 0.8474552612, std: 0.0990050117
Accuracy Intime: [0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.96875, 0.7058823529411765, 0.9411764705882353, 1.0, 1.0, 0.9375, 0.9705882352941176, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9375]
  mean: 0.9503676471, std: 0.0710139583
F1 In Time: [0.970357454228422, 0.9403508771929825, 1.0, 1.0, 0.9687194525904204, 0.6886446886446886, 0.9403508771929825, 1.0, 1.0, 0.9372549019607843, 0.970357454228422, 0.9110723626852659, 0.970357454228422, 1.0, 0.9372549019607843]
  mean: 0.9489813617, std: 0.0750160771
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9642857142857143, 0.9880952380952381, 0.9761904761904762, 0.9642857142857143, 0.9761904761904762, 0.9761904761904762, 0.9880952380952381, 0.9523809523809523, 0.9880952380952381, 0.9761904761904762, 0.9523809523809523, 0.9047619047619048, 0.9523809523809523, 0.9523809523809523, 0.9523809523809523]
  mean: 0.9642857143, std: 0.0208475009
F1 Score: [0.9642401021711366, 0.9880935506732813, 0.9761769710720363, 0.9642806520198441, 0.9761769710720363, 0.9761769710720363, 0.9880935506732813, 0.9522727272727273, 0.9880935506732813, 0.9761769710720363, 0.9523539421440725, 0.9038901601830663, 0.9522727272727273, 0.9522727272727273, 0.9522727272727273]
  mean: 0.9641896201, std: 0.0210287872
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: [0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 0.9880952380952381, 0.9880952380952381, 0.7976190476190477, 0.9642857142857143, 0.6428571428571429, 0.6428571428571429, 0.9047619047619048, 0.9285714285714286, 0.8333333333333334, 0.9523809523809523, 0.9523809523809523, 0.9166666666666666]
  mean: 0.8968253968, std: 0.1134115599
F1 Score: [0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 0.9880935506732813, 0.9880935506732813, 0.7962037962037962, 0.9642401021711366, 0.6395881006864989, 0.6395881006864989, 0.9045454545454545, 0.9282051282051282, 0.8285714285714285, 0.9522727272727273, 0.9522727272727273, 0.916083916083916]
  mean: 0.8958790524, std: 0.1146254507
Accuracy Intime: [1.0, 0.9705882352941176, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939950980, std: 0.0120160548
F1 In Time: [1.0, 0.9705627705627706, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9939896662, std: 0.0120269473
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9761904761904762, 0.8452380952380952, 0.9523809523809523, 0.9047619047619048, 0.8571428571428571, 0.9642857142857143, 0.9404761904761905, 0.9761904761904762, 0.9523809523809523, 0.9642857142857143, 0.8809523809523809, 0.7261904761904762, 0.7261904761904762, 0.6666666666666666, 0.75]
  mean: 0.8722222222, std: 0.1026359566
F1 Score: [0.9761904761904762, 0.8425378514780101, 0.9523809523809523, 0.9042735042735043, 0.8550891316848763, 0.9642401021711366, 0.9404677533664068, 0.9761769710720363, 0.9523809523809523, 0.9642401021711366, 0.8792409430707303, 0.7039987743220468, 0.7039987743220468, 0.625, 0.7333333333333334]
  mean: 0.8649033081, std: 0.1138753196
Accuracy Intime: [1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9375, 1.0, 1.0, 0.9117647058823529, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0]
  mean: 0.9801470588, std: 0.0280891335
F1 In Time: [1.0, 0.970357454228422, 0.970357454228422, 1.0, 0.9375, 1.0, 1.0, 0.9098143236074271, 1.0, 1.0, 1.0, 1.0, 0.9403508771929825, 0.970357454228422, 1.0]
  mean: 0.9799158376, std: 0.0284993122
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9642857142857143, 0.9047619047619048, 0.8809523809523809, 0.9642857142857143, 0.9523809523809523, 1.0, 0.9880952380952381, 0.9642857142857143, 0.9404761904761905, 0.9523809523809523, 0.9523809523809523, 0.9880952380952381, 0.9880952380952381, 0.9285714285714286, 0.9880952380952381]
  mean: 0.9571428571, std: 0.0321795793
F1 Score: [0.9642401021711366, 0.9038901601830663, 0.8792409430707303, 0.9642401021711366, 0.9523539421440725, 1.0, 0.9880935506732813, 0.9642401021711366, 0.9402645427392974, 0.9522727272727273, 0.9522727272727273, 0.9880935506732813, 0.9880935506732813, 0.9285309132161089, 0.9880935506732813]
  mean: 0.9569280310, std: 0.0325549644
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: 12
Accuracy Cross: [0.9880952380952381, 0.9047619047619048, 0.9166666666666666, 0.8452380952380952, 0.9285714285714286, 0.9523809523809523, 0.8809523809523809, 0.7976190476190477, 0.8809523809523809, 0.9166666666666666, 0.8928571428571429, 0.9404761904761905, 0.9166666666666666, 0.9047619047619048, 0.8928571428571429]
  mean: 0.9039682540, std: 0.0431354865
F1 Score: [0.9880935506732813, 0.9038901601830663, 0.916083916083916, 0.8414403949470016, 0.9282051282051282, 0.9523539421440725, 0.8792409430707303, 0.7926528241614637, 0.8792409430707303, 0.916083916083916, 0.8921078921078921, 0.9404677533664068, 0.9166548547129695, 0.9042735042735043, 0.89272030651341]
  mean: 0.9029006686, std: 0.0443969472
Accuracy Intime: [0.9117647058823529, 1.0, 1.0, 1.0, 0.9375, 1.0, 1.0, 0.9705882352941176, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9859068627, std: 0.0265255647
F1 In Time: [0.9116883116883117, 1.0, 1.0, 1.0, 0.9372549019607843, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9858816958, std: 0.0265719489
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9642857142857143, 0.8571428571428571, 0.9404761904761905, 0.8452380952380952, 0.7976190476190477, 0.8809523809523809, 0.9761904761904762, 0.9166666666666666, 0.7738095238095238, 0.9761904761904762, 0.9523809523809523, 0.9285714285714286, 0.9761904761904762, 0.9761904761904762, 0.9523809523809523]
  mean: 0.9142857143, std: 0.0653787153
F1 Score: [0.9642806520198441, 0.8541666666666667, 0.9402645427392974, 0.8414403949470016, 0.7889759125166248, 0.8803418803418803, 0.9761904761904762, 0.916083916083916, 0.761613144137416, 0.9761769710720363, 0.9522727272727273, 0.9282051282051282, 0.9761769710720363, 0.9761769710720363, 0.9522727272727273]
  mean: 0.9123092721, std: 0.0686085395
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 1.0]
  mean: 0.9921568627, std: 0.0168673044
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 0.9411764705882353, 1.0]
  mean: 0.9921534674, std: 0.0168716478
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.9166666666666666, 0.8928571428571429, 0.9761904761904762, 0.9404761904761905, 0.8690476190476191, 0.9642857142857143, 0.9642857142857143, 0.9166666666666666, 0.9523809523809523, 0.9642857142857143, 0.7023809523809523, 0.7738095238095238, 0.7976190476190477, 0.7380952380952381, 0.7261904761904762]
  mean: 0.8730158730, std: 0.0949068313
F1 Score: [0.9163703598350164, 0.8928419560595322, 0.9761904761904762, 0.9402645427392974, 0.86676279740447, 0.9642401021711366, 0.9642401021711366, 0.916083916083916, 0.9523809523809523, 0.9642401021711366, 0.6734566941377702, 0.761613144137416, 0.7889759125166248, 0.71880706025563, 0.7039987743220468]
  mean: 0.8666977928, std: 0.1038087777
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 0.96875, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0]
  mean: 0.9881127451, std: 0.0210434902
F1 In Time: [1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0, 0.9687194525904204, 1.0, 0.9409722222222222, 1.0, 1.0, 1.0]
  mean: 0.9880403548, std: 0.0212003504
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.919047619047619, 0.9380952380952382, 0.8301587301587303, 0.8928571428571428, 0.8952380952380952, 0.8785714285714287, 0.85, 0.9642857142857145, 0.896825396825397, 0.8722222222222221, 0.9571428571428572, 0.9039682539682538, 0.9142857142857143, 0.8730158730158729]
f1_score_list: [0.9170161994781041, 0.9375966908387062, 0.821678891819472, 0.8910184601719935, 0.8942866294351822, 0.876259689809302, 0.8474552611505498, 0.9641896201278012, 0.8958790524375718, 0.8649033081478431, 0.956928031007018, 0.9029006686398328, 0.912309272107321, 0.8666977928384372]
accuracy_intime_list: [0.9959558823529412, 0.9899509803921569, 0.9704656862745098, 0.996078431372549, 0.9784313725490197, 0.9721813725490197, 0.9503676470588236, 1.0, 0.9939950980392157, 0.9801470588235295, 1.0, 0.9859068627450981, 0.9921568627450981, 0.9881127450980393]
f1_in_time_list: [0.9959384604545894, 0.989914438946697, 0.9698347287925592, 0.9960476605637896, 0.9783371451346832, 0.9720714208850881, 0.9489813616608783, 1.0, 0.9939896662477307, 0.9799158375657117, 1.0, 0.9858816957868191, 0.992153467447585, 0.988040354837893]
**************************************************
Mean Accuracy: 0.8989795918
Mean F1: 0.8963656834
Std Accuracy: 0.0366818158
Std F1: 0.0387012756
Mean Accuracy (Intime): 0.9852678571
Std Accuracy (Intime): 0.0133646016
Mean F1 (Intime): 0.9850790170
Std F1 (Intime): 0.0136865174
ACC: 89.90±3.67
F1: 89.64±3.87
Intime: 98.53±1.34
F1 (Intime): 98.51±1.37
