Learning Rate: 0.0001

Subject Number: 1
Accuracy Cross: [0.9523809523809523, 0.7857142857142857, 0.8809523809523809, 0.9761904761904762, 0.9047619047619048, 0.9404761904761905, 0.9523809523809523, 0.9523809523809523, 0.9404761904761905, 0.9523809523809523, 0.9761904761904762, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9404761904761905]
  mean: 0.9365079365, std: 0.0471538120
F1 Score: [0.9522727272727273, 0.7754010695187166, 0.8792409430707303, 0.9761769710720363, 0.9042735042735043, 0.9402645427392974, 0.9522727272727273, 0.9522727272727273, 0.9404001702852277, 0.9522727272727273, 0.9761904761904762, 0.9642401021711366, 0.9642806520198441, 0.9642401021711366, 0.9402645427392974]
  mean: 0.9356042657, std: 0.0495022118
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.96875, 1.0, 0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 1.0]
  mean: 0.9822303922, std: 0.0180567570
F1 In Time: [0.9705627705627706, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0, 0.970357454228422, 1.0, 0.970357454228422, 0.9687194525904204, 1.0, 0.9705627705627706, 0.9705627705627706, 0.970357454228422, 1.0]
  mean: 0.9821220669, std: 0.0182169813
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 0.9880952380952381, 0.9523809523809523, 0.9642857142857143, 0.9761904761904762, 0.9642857142857143, 0.9166666666666666, 0.9761904761904762, 0.9761904761904762, 0.9285714285714286, 0.9404761904761905, 0.9404761904761905, 0.9642857142857143]
  mean: 0.9626984127, std: 0.0216769846
F1 Score: [0.9880935506732813, 0.9880935506732813, 0.9761769710720363, 0.9880935506732813, 0.9522727272727273, 0.9642401021711366, 0.9761769710720363, 0.9642401021711366, 0.916083916083916, 0.9761769710720363, 0.9761769710720363, 0.9285309132161089, 0.9404001702852277, 0.9402645427392974, 0.9642806520198441]
  mean: 0.9626201108, std: 0.0217839463
Accuracy Intime: [1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.90625]
  mean: 0.9878676471, std: 0.0247336591
F1 In Time: [1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 0.970357454228422, 0.9054187192118226]
  mean: 0.9877660721, std: 0.0249487814
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.8571428571428571, 0.7857142857142857, 0.8571428571428571, 0.8333333333333334, 0.7142857142857143, 0.9404761904761905, 0.9642857142857143, 0.8809523809523809, 0.9642857142857143, 0.9523809523809523, 0.7261904761904762, 0.7976190476190477, 0.7380952380952381, 0.7857142857142857, 0.8333333333333334]
  mean: 0.8420634921, std: 0.0827606931
F1 Score: [0.8541666666666667, 0.7754010695187166, 0.8541666666666667, 0.8285714285714285, 0.6888888888888889, 0.9404001702852277, 0.9642401021711366, 0.8792409430707303, 0.9642806520198441, 0.9523809523809523, 0.7039987743220468, 0.7889759125166248, 0.71880706025563, 0.7754010695187166, 0.8285714285714285]
  mean: 0.8344994524, std: 0.0902986570
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.8823529411764706, 0.9705882352941176, 0.96875, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9705882352941176, 0.96875]
  mean: 0.9723039216, std: 0.0273352998
F1 In Time: [0.9705627705627706, 1.0, 0.970357454228422, 0.9705627705627706, 1.0, 0.970357454228422, 1.0, 0.8785714285714286, 0.9705627705627706, 0.9687194525904204, 0.970357454228422, 1.0, 0.970357454228422, 0.970357454228422, 0.9687194525904204]
  mean: 0.9719657278, std: 0.0281733810
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9166666666666666, 0.9404761904761905, 0.9404761904761905, 0.8928571428571429, 0.8928571428571429, 0.8333333333333334, 0.8928571428571429, 0.8809523809523809, 0.8928571428571429, 0.8809523809523809, 0.7738095238095238, 0.8333333333333334, 0.8214285714285714, 0.8214285714285714, 0.8809523809523809]
  mean: 0.8730158730, std: 0.0455226362
F1 Score: [0.916083916083916, 0.9404001702852277, 0.9402645427392974, 0.8924761769307352, 0.8924761769307352, 0.8332387975042541, 0.89272030651341, 0.8809523809523809, 0.8928419560595322, 0.8803418803418803, 0.761613144137416, 0.8285714285714285, 0.8155467720685112, 0.8155467720685112, 0.8792409430707303]
  mean: 0.8708210243, std: 0.0483826868
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 0.9705882352941176, 0.96875, 1.0, 0.9705882352941176, 1.0, 0.9117647058823529, 1.0, 0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 0.9705882352941176, 1.0]
  mean: 0.9704656863, std: 0.0240189826
F1 In Time: [0.9705627705627706, 0.9705627705627706, 0.9409722222222222, 0.970357454228422, 0.9687194525904204, 1.0, 0.970357454228422, 1.0, 0.9098143236074271, 1.0, 0.9705627705627706, 0.970357454228422, 0.9403508771929825, 0.970357454228422, 1.0]
  mean: 0.9701983336, std: 0.0244219969
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.8333333333333334, 0.8571428571428571, 0.9047619047619048, 0.8095238095238095, 0.8690476190476191, 0.9880952380952381, 1.0, 0.9642857142857143, 0.9761904761904762, 0.9047619047619048, 0.8690476190476191, 0.8928571428571429, 0.9642857142857143, 0.8928571428571429, 0.9166666666666666]
  mean: 0.9095238095, std: 0.0561420292
F1 Score: [0.8333333333333334, 0.8570618264322178, 0.9042735042735043, 0.8077803203661327, 0.86676279740447, 0.9880935506732813, 1.0, 0.9642806520198441, 0.9761769710720363, 0.9038901601830663, 0.869029057406095, 0.8928419560595322, 0.9642401021711366, 0.8924761769307352, 0.916083916083916]
  mean: 0.9090882883, std: 0.0564739989
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9117647058823529, 1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 0.8823529411764706, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9705882353, std: 0.0356194159
F1 In Time: [0.970357454228422, 0.9705627705627706, 0.9110723626852659, 1.0, 1.0, 0.9705627705627706, 0.9409722222222222, 0.8819444444444444, 1.0, 1.0, 1.0, 0.9409722222222222, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9704671345, std: 0.0357857288
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.9285714285714286, 0.9404761904761905, 0.9285714285714286, 0.9642857142857143, 0.9404761904761905, 0.8928571428571429, 0.8452380952380952, 0.8690476190476191, 0.8809523809523809, 0.9047619047619048, 0.9880952380952381, 0.9761904761904762, 0.9761904761904762, 0.9880952380952381, 1.0]
  mean: 0.9349206349, std: 0.0463861562
F1 Score: [0.9282051282051282, 0.9404677533664068, 0.928409090909091, 0.9642806520198441, 0.9404001702852277, 0.8916129032258064, 0.8414403949470016, 0.86676279740447, 0.8792409430707303, 0.9038901601830663, 0.9880935506732813, 0.9761769710720363, 0.9761769710720363, 0.9880935506732813, 1.0]
  mean: 0.9342167358, std: 0.0473425876
Accuracy Intime: [0.9117647058823529, 1.0, 1.0, 1.0, 0.96875, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 1.0]
  mean: 0.9822303922, std: 0.0259242596
F1 In Time: [0.9116883116883117, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 0.9705627705627706, 0.970357454228422, 1.0, 1.0, 0.9705627705627706, 0.9409722222222222, 1.0, 1.0, 1.0]
  mean: 0.9821908655, std: 0.0259692226
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.7261904761904762, 0.9523809523809523, 0.8928571428571429, 0.9166666666666666, 0.7380952380952381, 1.0, 0.9285714285714286, 0.9523809523809523, 0.9404761904761905, 0.9761904761904762, 0.8571428571428571, 0.8928571428571429, 0.8571428571428571, 0.9404761904761905, 0.9642857142857143]
  mean: 0.9023809524, std: 0.0774206248
F1 Score: [0.7039987743220468, 0.9523539421440725, 0.8921078921078921, 0.9163703598350164, 0.71880706025563, 1.0, 0.928409090909091, 0.9523809523809523, 0.9404001702852277, 0.9761904761904762, 0.8558352402745995, 0.8916129032258064, 0.8541666666666667, 0.9402645427392974, 0.9642806520198441]
  mean: 0.8991452482, std: 0.0837338700
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.9117647058823529, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9375]
  mean: 0.9742647059, std: 0.0263409133
F1 In Time: [0.9705627705627706, 0.9705627705627706, 0.9411764705882353, 1.0, 1.0, 0.9110723626852659, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9705627705627706, 0.970357454228422, 1.0, 0.970357454228422, 0.9372549019607843]
  mean: 0.9741646484, std: 0.0264787483
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9880952380952381, 0.9523809523809523, 0.9880952380952381, 0.9761904761904762, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 1.0, 1.0, 1.0, 0.9642857142857143, 0.9523809523809523, 0.9880952380952381, 0.9880952380952381]
  mean: 0.9809523810, std: 0.0155523158
F1 Score: [0.9880935506732813, 0.9523539421440725, 0.9880935506732813, 0.9761769710720363, 0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 0.9761769710720363, 1.0, 1.0, 1.0, 0.9642401021711366, 0.9522727272727273, 0.9880935506732813, 0.9880935506732813]
  mean: 0.9809348080, std: 0.0155756464
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9941176471, std: 0.0159294871
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, 0.9411764705882353, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9941159494, std: 0.0159319957
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8095238095238095, 0.8690476190476191, 0.8690476190476191, 0.8690476190476191, 0.8571428571428571, 0.8452380952380952, 0.8809523809523809, 0.9166666666666666, 0.8571428571428571, 0.9404761904761905]
  mean: 0.9142857143, std: 0.0668082397
F1 Score: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8094157685762904, 0.8688803746275011, 0.869029057406095, 0.8685819940264543, 0.8570618264322178, 0.8434408602150538, 0.8792409430707303, 0.916083916083916, 0.8541666666666667, 0.9402645427392974]
  mean: 0.9137443967, std: 0.0672015771
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.96875, 0.9705882352941176, 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, 1.0, 1.0, 1.0, 0.9687194525904204, 0.9705627705627706, 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: [0.9285714285714286, 0.9166666666666666, 0.9047619047619048, 0.9404761904761905, 0.8452380952380952, 0.9404761904761905, 0.9642857142857143, 0.9642857142857143, 0.9404761904761905, 0.9523809523809523, 0.75, 0.8333333333333334, 0.9285714285714286, 0.8690476190476191, 0.8571428571428571]
  mean: 0.9023809524, std: 0.0580288457
F1 Score: [0.9285309132161089, 0.9165602383993188, 0.9045454545454545, 0.9404677533664068, 0.8434408602150538, 0.9404001702852277, 0.9642806520198441, 0.9642806520198441, 0.9404677533664068, 0.9523809523809523, 0.7365197908887229, 0.8329545454545455, 0.928409090909091, 0.8681318681318682, 0.8568181818181818]
  mean: 0.9012125918, std: 0.0606130966
Accuracy Intime: [1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 0.9705882352941176, 0.96875]
  mean: 0.9802696078, std: 0.0206283165
F1 In Time: [1.0, 0.970357454228422, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9403508771929825, 0.9705627705627706, 1.0, 1.0, 0.9705627705627706, 0.9403508771929825, 0.970357454228422, 0.9687194525904204]
  mean: 0.9801216285, std: 0.0208554965
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9523809523809523, 0.9166666666666666, 0.8690476190476191, 0.9047619047619048, 0.9166666666666666, 0.9404761904761905, 0.9404761904761905, 0.9404761904761905, 0.9285714285714286, 0.9285714285714286, 0.9880952380952381, 0.9761904761904762, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381]
  mean: 0.9428571429, std: 0.0331628292
F1 Score: [0.9522727272727273, 0.916083916083916, 0.86676279740447, 0.9038901601830663, 0.916083916083916, 0.9402645427392974, 0.9402645427392974, 0.9402645427392974, 0.9282051282051282, 0.9282051282051282, 0.9880935506732813, 0.9761904761904762, 0.9642806520198441, 0.9880935506732813, 0.9880935506732813]
  mean: 0.9424699455, std: 0.0336525327
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9921568627, std: 0.0130063717
F1 In Time: [0.9705627705627706, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9921500722, std: 0.0130176327
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.9880952380952381, 0.9880952380952381, 0.9880952380952381, 0.9880952380952381, 0.9166666666666666, 0.9047619047619048, 0.9285714285714286, 0.8809523809523809, 0.9166666666666666, 0.8928571428571429, 0.8928571428571429, 0.9047619047619048, 0.8690476190476191, 0.9047619047619048, 0.8809523809523809]
  mean: 0.9230158730, std: 0.0418909309
F1 Score: [0.9880935506732813, 0.9880935506732813, 0.9880935506732813, 0.9880935506732813, 0.916083916083916, 0.9047078842881452, 0.9282051282051282, 0.8803418803418803, 0.9163703598350164, 0.8916129032258064, 0.8924761769307352, 0.9045454545454545, 0.8685819940264543, 0.9042735042735043, 0.8803418803418803]
  mean: 0.9226610190, std: 0.0421183192
Accuracy Intime: [0.8529411764705882, 1.0, 1.0, 1.0, 0.90625, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9375, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9758578431, std: 0.0426685347
F1 In Time: [0.85178727114211, 1.0, 1.0, 1.0, 0.9054187192118226, 0.9705627705627706, 1.0, 1.0, 1.0, 0.9372549019607843, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9757057622, std: 0.0429957596
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9523809523809523, 0.9404761904761905, 0.9523809523809523, 0.9404761904761905, 0.9047619047619048, 0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 0.9880952380952381, 0.9880952380952381, 0.9404761904761905, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9761904761904762]
  mean: 0.9619047619, std: 0.0230841898
F1 Score: [0.9522727272727273, 0.9402645427392974, 0.9523539421440725, 0.9402645427392974, 0.9042735042735043, 0.9880935506732813, 0.9880935506732813, 0.9761769710720363, 0.9880935506732813, 0.9880935506732813, 0.9402645427392974, 0.9642401021711366, 0.9642401021711366, 0.9642401021711366, 0.9761769710720363]
  mean: 0.9618094836, std: 0.0232052884
Accuracy Intime: [0.9411764705882353, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9843137255, std: 0.0211182934
F1 In Time: [0.9411764705882353, 1.0, 0.970357454228422, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705627705627706, 1.0]
  mean: 0.9842932471, std: 0.0211316759
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.9285714285714286, 0.9166666666666666, 0.8928571428571429, 0.9285714285714286, 0.9761904761904762, 0.9880952380952381, 1.0, 0.9761904761904762, 0.9880952380952381, 0.9761904761904762, 0.7023809523809523, 0.75, 0.8095238095238095, 0.7619047619047619, 0.8809523809523809]
  mean: 0.8984126984, std: 0.0945277744
F1 Score: [0.9285309132161089, 0.916083916083916, 0.8924761769307352, 0.9285714285714286, 0.9761769710720363, 0.9880935506732813, 1.0, 0.9761769710720363, 0.9880935506732813, 0.9761769710720363, 0.6734566941377702, 0.7333333333333334, 0.8023529411764705, 0.7475961538461539, 0.8792409430707303]
  mean: 0.8937573677, std: 0.1021708664
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 1.0, 0.96875, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.9375, 0.9705882352941176, 0.9117647058823529, 1.0, 1.0, 0.96875]
  mean: 0.9779411765, std: 0.0255684367
F1 In Time: [1.0, 1.0, 0.9705627705627706, 1.0, 0.9687194525904204, 0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 0.9372549019607843, 0.9705627705627706, 0.9098143236074271, 1.0, 1.0, 0.9687194525904204]
  mean: 0.9777839475, std: 0.0259361472
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.9365079365079363, 0.9626984126984125, 0.8420634920634922, 0.8730158730158731, 0.9095238095238094, 0.934920634920635, 0.9023809523809523, 0.980952380952381, 0.9142857142857143, 0.9023809523809524, 0.9428571428571428, 0.923015873015873, 0.9619047619047616, 0.8984126984126984]
f1_score_list: [0.9356042656894875, 0.9626201108178256, 0.834499452361647, 0.8708210242838645, 0.9090882882939534, 0.9342167358071604, 0.8991452482237747, 0.9809348079961888, 0.9137443966562817, 0.9012125918011352, 0.942469945459094, 0.9226610189860698, 0.9618094835505869, 0.8937573676619547]
accuracy_intime_list: [0.9822303921568628, 0.9878676470588236, 0.9723039215686275, 0.9704656862745098, 0.9705882352941176, 0.9822303921568628, 0.9742647058823529, 0.9941176470588236, 0.9939950980392157, 0.9802696078431373, 0.9921568627450981, 0.975857843137255, 0.9843137254901961, 0.9779411764705883]
f1_in_time_list: [0.9821220669437987, 0.9877660721264725, 0.9719657277721794, 0.9701983336143367, 0.9704671344993925, 0.9821908654569944, 0.9741646483961475, 0.9941159494100671, 0.9939896662477307, 0.9801216284747694, 0.9921500721500721, 0.9757057622293506, 0.9842932471395469, 0.9777839475333424]
**************************************************
Mean Accuracy: 0.9203514739
Mean F1: 0.9187560527
Std Accuracy: 0.0356873256
Std F1: 0.0373947652
Mean Accuracy (Intime): 0.9813287815
Std Accuracy (Intime): 0.0080257388
Mean F1 (Intime): 0.9812167944
Std F1 (Intime): 0.0081012738
ACC: 92.04±3.57
F1: 91.88±3.74
Intime: 98.13±0.80
F1 (Intime): 98.12±0.81
