Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.7261904761904762, 0.7738095238095238, 0.8095238095238095, 0.9166666666666666, 0.7738095238095238, 0.9047619047619048, 0.9642857142857143, 0.9523809523809523, 0.9523809523809523, 0.7619047619047619, 0.9166666666666666, 0.9047619047619048, 0.9642857142857143, 0.9404761904761905, 0.9880952380952381]
  mean: 0.8833333333, std: 0.0852057223
F1 Score: [0.7039987743220468, 0.761613144137416, 0.8023529411764705, 0.9163703598350164, 0.761613144137416, 0.9038901601830663, 0.9642806520198441, 0.9522727272727273, 0.9522727272727273, 0.7551020408163265, 0.916083916083916, 0.9038901601830663, 0.9642401021711366, 0.9402645427392974, 0.9880935506732813]
  mean: 0.8790892629, std: 0.0910502172
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9375, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 0.96875]
  mean: 0.9878676471, std: 0.0187439917
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.970357454228422, 0.9372549019607843, 0.9705627705627706, 1.0, 1.0, 0.970357454228422, 0.9687194525904204]
  mean: 0.9878168022, std: 0.0188199838
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.9642857142857143, 0.9523809523809523, 0.9285714285714286, 0.9285714285714286, 0.9523809523809523, 0.8095238095238095, 0.8928571428571429, 0.9047619047619048, 0.9166666666666666, 0.8571428571428571, 1.0, 0.8928571428571429, 0.9761904761904762, 0.9047619047619048, 0.8809523809523809]
  mean: 0.9174603175, std: 0.0471137209
F1 Score: [0.9642806520198441, 0.9522727272727273, 0.928409090909091, 0.928409090909091, 0.9522727272727273, 0.8023529411764705, 0.8916129032258064, 0.9038901601830663, 0.916083916083916, 0.8541666666666667, 1.0, 0.8916129032258064, 0.9761769710720363, 0.9038901601830663, 0.879862700228833]
  mean: 0.9163529074, std: 0.0486302359
Accuracy Intime: [1.0, 1.0, 1.0, 0.9411764705882353, 0.9375, 1.0, 1.0, 1.0, 0.9705882352941176, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9859068627, std: 0.0217468406
F1 In Time: [1.0, 1.0, 1.0, 0.9403508771929825, 0.9372549019607843, 1.0, 1.0, 1.0, 0.9705627705627706, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 1.0]
  mean: 0.9858163638, std: 0.0219104781
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.6309523809523809, 0.5119047619047619, 0.9642857142857143, 0.8214285714285714, 0.5476190476190477, 0.9166666666666666, 0.9047619047619048, 0.7976190476190477, 0.9047619047619048, 0.9285714285714286, 0.7023809523809523, 0.6904761904761905, 0.7261904761904762, 0.8333333333333334, 0.6785714285714286]
  mean: 0.7706349206, std: 0.1377710115
F1 Score: [0.5727645611156686, 0.3592558139534884, 0.9642806520198441, 0.8170466095542326, 0.43121881682109764, 0.916083916083916, 0.9038901601830663, 0.7889759125166248, 0.9042735042735043, 0.928409090909091, 0.6734566941377702, 0.6576802507836991, 0.7039987743220468, 0.8298611111111112, 0.6415362731152205]
  mean: 0.7395154761, std: 0.1784251143
Accuracy Intime: [1.0, 1.0, 0.9117647058823529, 0.9411764705882353, 0.875, 0.9705882352941176, 1.0, 0.8235294117647058, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 0.96875]
  mean: 0.9601715686, std: 0.0518876080
F1 In Time: [1.0, 1.0, 0.9098143236074271, 0.9403508771929825, 0.873015873015873, 0.970357454228422, 1.0, 0.8131868131868132, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 0.9409722222222222, 0.9687194525904204]
  mean: 0.9591182980, std: 0.0540777331
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9166666666666666, 0.9404761904761905, 0.9285714285714286, 0.9523809523809523, 0.7857142857142857, 0.9047619047619048, 0.9404761904761905, 0.9761904761904762, 0.9404761904761905, 0.9404761904761905, 0.8571428571428571, 0.8452380952380952, 0.7261904761904762, 0.8214285714285714, 0.8452380952380952]
  mean: 0.8880952381, std: 0.0689791669
F1 Score: [0.9163703598350164, 0.9402645427392974, 0.928409090909091, 0.9522727272727273, 0.7754010695187166, 0.9038901601830663, 0.9404001702852277, 0.9761769710720363, 0.9404001702852277, 0.9402645427392974, 0.8550891316848763, 0.8414403949470016, 0.7039987743220468, 0.8155467720685112, 0.8414403949470016]
  mean: 0.8847576849, std: 0.0742054003
Accuracy Intime: [1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9411764705882353, 0.9411764705882353, 1.0, 1.0, 1.0]
  mean: 0.9862745098, std: 0.0211182934
F1 In Time: [1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 0.9705627705627706, 0.970357454228422, 1.0, 0.9411764705882353, 0.9403508771929825, 1.0, 1.0, 1.0]
  mean: 0.9861870018, std: 0.0212605318
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.7738095238095238, 0.8095238095238095, 0.8809523809523809, 0.8333333333333334, 0.7619047619047619, 0.9642857142857143, 0.9761904761904762, 0.9285714285714286, 0.9404761904761905, 0.8095238095238095, 0.7619047619047619, 0.8928571428571429, 0.9523809523809523, 0.9404761904761905, 0.8809523809523809]
  mean: 0.8738095238, std: 0.0740012870
F1 Score: [0.7711827956989248, 0.8023529411764705, 0.8803418803418803, 0.8298611111111112, 0.7475961538461539, 0.9642401021711366, 0.9761904761904762, 0.9282051282051282, 0.9402645427392974, 0.8085470085470086, 0.761769710720363, 0.8928419560595322, 0.9523539421440725, 0.9402645427392974, 0.8803418803418803]
  mean: 0.8717569448, std: 0.0762960278
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9411764705882353, 0.9117647058823529, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9784313725, std: 0.0251102911
F1 In Time: [0.970357454228422, 0.9705627705627706, 1.0, 0.970357454228422, 1.0, 0.9705627705627706, 0.9403508771929825, 0.9116883116883117, 1.0, 1.0, 1.0, 0.970357454228422, 0.970357454228422, 1.0, 1.0]
  mean: 0.9783063031, std: 0.0252263723
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.7857142857142857, 0.8690476190476191, 0.9880952380952381, 0.9166666666666666, 0.7976190476190477, 0.8690476190476191, 0.8809523809523809, 0.8690476190476191, 0.9404761904761905, 0.8452380952380952, 0.9285714285714286, 0.7976190476190477, 0.9166666666666666, 0.8690476190476191, 0.75]
  mean: 0.8682539683, std: 0.0629140355
F1 Score: [0.7754010695187166, 0.86676279740447, 0.9880935506732813, 0.9166548547129695, 0.7889759125166248, 0.8688803746275011, 0.8792409430707303, 0.869029057406095, 0.9404677533664068, 0.8414403949470016, 0.9285714285714286, 0.7889759125166248, 0.9165602383993188, 0.86676279740447, 0.7393231860499483]
  mean: 0.8650093514, std: 0.0665295574
Accuracy Intime: [0.9411764705882353, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8823529411764706, 1.0, 0.9411764705882353, 1.0, 1.0]
  mean: 0.9823529412, std: 0.0336204474
F1 In Time: [0.9411764705882353, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8819444444444444, 1.0, 0.9411764705882353, 1.0, 1.0]
  mean: 0.9823240104, std: 0.0337020976
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.7261904761904762, 0.8571428571428571, 0.7976190476190477, 0.7619047619047619, 0.7857142857142857, 0.9523809523809523, 0.9166666666666666, 0.5, 0.9880952380952381, 0.8809523809523809, 0.5, 0.8809523809523809, 0.8571428571428571, 0.6904761904761905, 0.8928571428571429]
  mean: 0.7992063492, std: 0.1413188786
F1 Score: [0.7079365079365079, 0.8550891316848763, 0.7926528241614637, 0.7551020408163265, 0.7754010695187166, 0.9522727272727273, 0.916083916083916, 0.3333333333333333, 0.9880935506732813, 0.879862700228833, 0.3333333333333333, 0.8803418803418803, 0.8558352402745995, 0.6816326530612244, 0.8916129032258064]
  mean: 0.7732389208, std: 0.1913799846
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9117647058823529, 1.0, 1.0, 0.9411764705882353, 1.0, 0.8823529411764706, 0.9411764705882353, 1.0, 1.0, 0.96875]
  mean: 0.9724264706, std: 0.0363766283
F1 In Time: [0.970357454228422, 1.0, 0.9705627705627706, 1.0, 1.0, 0.9116883116883117, 1.0, 1.0, 0.9411764705882353, 1.0, 0.8819444444444444, 0.9409722222222222, 1.0, 1.0, 0.9687194525904204]
  mean: 0.9723614084, std: 0.0364654011
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9761904761904762, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 0.9642857142857143, 1.0, 1.0, 0.9523809523809523, 0.9880952380952381, 1.0, 0.9642857142857143, 0.9523809523809523, 0.9642857142857143, 0.9880952380952381, 0.9523809523809523]
  mean: 0.9761904762, std: 0.0173880177
F1 Score: [0.9761769710720363, 0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 0.9642401021711366, 1.0, 1.0, 0.9522727272727273, 0.9880935506732813, 1.0, 0.9642806520198441, 0.9523539421440725, 0.9642401021711366, 0.9880935506732813, 0.9522727272727273]
  mean: 0.9761634353, std: 0.0174164256
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 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, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9980375180, std: 0.0073429351
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.9880952380952381, 0.7976190476190477, 0.9880952380952381, 1.0, 0.8571428571428571, 0.8571428571428571, 0.9880952380952381, 0.8214285714285714, 0.8452380952380952, 0.7619047619047619, 0.8333333333333334, 0.9404761904761905, 0.9166666666666666, 0.9404761904761905, 0.8809523809523809]
  mean: 0.8944444444, std: 0.0746453781
F1 Score: [0.9880935506732813, 0.7889759125166248, 0.9880935506732813, 1.0, 0.8541666666666667, 0.8570618264322178, 0.9880935506732813, 0.8212005108556832, 0.8452161587526577, 0.7613636363636364, 0.8285714285714285, 0.9402645427392974, 0.9163703598350164, 0.9402645427392974, 0.8792409430707303]
  mean: 0.8931318120, std: 0.0758589370
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, 0.9705882352941176, 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, 0.9705627705627706, 1.0, 1.0, 0.9705627705627706, 1.0]
  mean: 0.9960750361, std: 0.0100067338
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9404761904761905, 0.9523809523809523, 0.9047619047619048, 0.8571428571428571, 0.8452380952380952, 0.9761904761904762, 0.9642857142857143, 0.9642857142857143, 0.8452380952380952, 0.9404761904761905, 0.8333333333333334, 0.7023809523809523, 0.8214285714285714, 0.7738095238095238, 0.7380952380952381]
  mean: 0.8706349206, std: 0.0843886318
F1 Score: [0.9404001702852277, 0.9522727272727273, 0.9038901601830663, 0.8541666666666667, 0.8414403949470016, 0.9761904761904762, 0.9642806520198441, 0.9642806520198441, 0.8441558441558441, 0.9404001702852277, 0.8329545454545455, 0.6734566941377702, 0.8155467720685112, 0.761613144137416, 0.71880706025563]
  mean: 0.8655904087, std: 0.0916152161
Accuracy Intime: [1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9117647058823529, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0]
  mean: 0.9882352941, std: 0.0258645215
F1 In Time: [1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 0.9110723626852659, 1.0, 1.0, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0]
  mean: 0.9881187129, std: 0.0261117449
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9285714285714286, 0.8928571428571429, 0.9047619047619048, 0.8928571428571429, 0.8809523809523809, 0.9523809523809523, 0.9642857142857143, 0.9523809523809523, 0.9523809523809523, 0.9642857142857143, 0.8452380952380952, 0.9761904761904762, 0.9761904761904762, 0.9880952380952381, 1.0]
  mean: 0.9380952381, std: 0.0435134926
F1 Score: [0.9282051282051282, 0.8916129032258064, 0.9038901601830663, 0.8916129032258064, 0.8803418803418803, 0.9522727272727273, 0.9642401021711366, 0.9522727272727273, 0.9522727272727273, 0.9642401021711366, 0.8446878111221732, 0.9761904761904762, 0.9761769710720363, 0.9880935506732813, 1.0]
  mean: 0.9377406780, std: 0.0438566881
Accuracy Intime: [1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9921568627, std: 0.0168673044
F1 In Time: [1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 0.970357454228422, 1.0]
  mean: 0.9921397797, std: 0.0168892326
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.8571428571428571, 0.9404761904761905, 0.8333333333333334, 0.9523809523809523, 0.9285714285714286, 0.8571428571428571, 0.7738095238095238, 0.8928571428571429, 0.9166666666666666, 0.8690476190476191, 0.8333333333333334, 0.9047619047619048, 0.9404761904761905, 0.9047619047619048, 0.8690476190476191]
  mean: 0.8849206349, std: 0.0477511395
F1 Score: [0.8541666666666667, 0.9402645427392974, 0.8285714285714285, 0.9522727272727273, 0.9282051282051282, 0.8541666666666667, 0.761613144137416, 0.8916129032258064, 0.9163703598350164, 0.86676279740447, 0.8309373202990225, 0.9047078842881452, 0.9404677533664068, 0.9047078842881452, 0.8675268817204301]
  mean: 0.8828236059, std: 0.0504164608
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0]
  mean: 0.9900735294, std: 0.0176802180
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 0.9411764705882353, 0.970357454228422, 1.0]
  mean: 0.9900544099, std: 0.0177015815
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9761904761904762, 0.9047619047619048, 0.8928571428571429, 0.8928571428571429, 0.7023809523809523, 0.9761904761904762, 0.9523809523809523, 0.9523809523809523, 0.9047619047619048, 0.9761904761904762, 0.9880952380952381, 1.0, 0.9404761904761905, 0.9523809523809523, 0.9642857142857143]
  mean: 0.9317460317, std: 0.0698863491
F1 Score: [0.9761769710720363, 0.9047078842881452, 0.8921078921078921, 0.8916129032258064, 0.6734566941377702, 0.9761769710720363, 0.9523539421440725, 0.9522727272727273, 0.9038901601830663, 0.9761769710720363, 0.9880935506732813, 1.0, 0.9402645427392974, 0.9522727272727273, 0.9642401021711366]
  mean: 0.9295869360, std: 0.0763693201
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9882352941, std: 0.0144087632
F1 In Time: [0.9705627705627706, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 0.970357454228422, 0.9705627705627706, 1.0, 1.0, 0.9705627705627706, 1.0, 0.970357454228422, 1.0, 1.0]
  mean: 0.9881840450, std: 0.0144716760
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.7142857142857143, 0.9523809523809523, 0.8333333333333334, 0.8690476190476191, 0.8928571428571429, 0.9523809523809523, 0.9880952380952381, 0.9761904761904762, 0.9642857142857143, 0.9642857142857143, 0.5952380952380952, 0.6071428571428571, 0.5476190476190477, 0.5357142857142857, 0.6071428571428571]
  mean: 0.8000000000, std: 0.1709870858
F1 Score: [0.6971153846153846, 0.9523539421440725, 0.8332387975042541, 0.8675268817204301, 0.8916129032258064, 0.9522727272727273, 0.9880935506732813, 0.9761769710720363, 0.9642401021711366, 0.9642401021711366, 0.5159322033898305, 0.5354449472096531, 0.43121881682109764, 0.408130081300813, 0.5354449472096531]
  mean: 0.7675361572, std: 0.2138278197
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 1.0, 0.875, 0.9705882352941176, 1.0, 1.0, 1.0, 0.875, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9735294118, std: 0.0408777681
F1 In Time: [0.9705627705627706, 0.970357454228422, 0.9705627705627706, 1.0, 0.873015873015873, 0.970357454228422, 1.0, 1.0, 1.0, 0.873015873015873, 1.0, 0.970357454228422, 1.0, 1.0, 1.0]
  mean: 0.9732153100, std: 0.0415193009
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**************************************************
accuracy_cross_list: [0.8833333333333331, 0.9174603174603175, 0.7706349206349207, 0.8880952380952379, 0.8738095238095237, 0.8682539682539683, 0.7992063492063491, 0.9761904761904762, 0.8944444444444444, 0.8706349206349207, 0.938095238095238, 0.8849206349206349, 0.9317460317460318, 0.8]
f1_score_list: [0.8790892628682504, 0.9163529073619432, 0.7395154760600254, 0.8847576848539428, 0.8717569448021824, 0.8650093514123725, 0.7732389207964552, 0.9761634352658627, 0.8931318120375401, 0.8655904086719864, 0.9377406780266739, 0.8828236059124515, 0.9295869359621354, 0.7675361572334207]
accuracy_intime_list: [0.9878676470588236, 0.9859068627450981, 0.960171568627451, 0.9862745098039216, 0.9784313725490197, 0.9823529411764707, 0.9724264705882354, 0.9980392156862745, 0.996078431372549, 0.9882352941176471, 0.9921568627450981, 0.9900735294117647, 0.9882352941176471, 0.9735294117647059]
f1_in_time_list: [0.9878168022380546, 0.9858163637690254, 0.9591182980181722, 0.9861870017867221, 0.9783063031280349, 0.9823240104122457, 0.9723614084216551, 0.9980375180375181, 0.996075036075036, 0.9881187129404446, 0.9921397796919619, 0.9900544098646565, 0.9881840449582384, 0.9732153099895036]
**************************************************
Mean Accuracy: 0.8783446712
Mean F1: 0.8701638272
Std Accuracy: 0.0548582974
Std F1: 0.0651884179
Mean Accuracy (Intime): 0.9842699580
Std Accuracy (Intime): 0.0098202778
Mean F1 (Intime): 0.9841253571
Std F1 (Intime): 0.0100312477
ACC: 87.83±5.49
F1: 87.02±6.52
Intime: 98.43±0.98
F1 (Intime): 98.41±1.00
