Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.7976190476190477, 0.9523809523809523, 0.9047619047619048, 0.9523809523809523, 0.5714285714285714, 0.5, 0.8690476190476191, 0.9047619047619048, 0.8809523809523809, 0.9047619047619048, 0.9523809523809523, 0.9404761904761905, 0.8928571428571429, 0.7857142857142857, 0.8809523809523809]
  mean: 0.8460317460, std: 0.1315259205
F1 Score: [0.7889759125166248, 0.9522727272727273, 0.9047078842881452, 0.9523539421440725, 0.49867374005305043, 0.3333333333333333, 0.8681318681318682, 0.9038901601830663, 0.879862700228833, 0.9038901601830663, 0.9522727272727273, 0.9404001702852277, 0.8916129032258064, 0.7776470588235294, 0.8792409430707303]
  mean: 0.8284844154, std: 0.1721561446
Accuracy Intime: [1.0, 0.9117647058823529, 1.0, 1.0, 0.96875, 0.5294117647058824, 1.0, 1.0, 0.9705882352941176, 0.90625, 0.9705882352941176, 0.9117647058823529, 1.0, 0.9411764705882353, 0.875]
  mean: 0.9323529412, std: 0.1151703924
F1 In Time: [1.0, 0.9110723626852659, 1.0, 1.0, 0.9687194525904204, 0.34615384615384615, 1.0, 1.0, 0.970357454228422, 0.9054187192118226, 0.9705627705627706, 0.9116883116883117, 1.0, 0.9403508771929825, 0.873015873015873]
  mean: 0.9198226445, std: 0.1587761644
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.8571428571428571, 0.8452380952380952, 0.8095238095238095, 0.8690476190476191, 0.8571428571428571, 0.9166666666666666, 0.8809523809523809, 0.8452380952380952, 0.9761904761904762, 0.9523809523809523, 0.9642857142857143, 0.9285714285714286, 0.9523809523809523, 0.8452380952380952, 0.8690476190476191]
  mean: 0.8912698413, std: 0.0506694911
F1 Score: [0.8550891316848763, 0.8414403949470016, 0.8023529411764705, 0.8675268817204301, 0.8541666666666667, 0.9163703598350164, 0.8792409430707303, 0.8414403949470016, 0.9761769710720363, 0.9523539421440725, 0.9642401021711366, 0.9282051282051282, 0.9523809523809523, 0.8434408602150538, 0.86676279740447]
  mean: 0.8894125645, std: 0.0523429112
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9411764705882353, 0.9375, 1.0, 1.0, 1.0, 0.9705882352941176, 0.78125]
  mean: 0.9655637255, std: 0.0543755952
F1 In Time: [0.970357454228422, 1.0, 1.0, 0.9409722222222222, 1.0, 0.9705627705627706, 0.9705627705627706, 1.0, 0.9411764705882353, 0.9375, 1.0, 1.0, 1.0, 0.970357454228422, 0.7757757757757757]
  mean: 0.9651509945, std: 0.0556182843
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.9285714285714286, 0.5119047619047619, 0.9047619047619048, 0.8690476190476191, 0.8571428571428571, 0.8928571428571429, 0.9166666666666666, 0.9642857142857143, 0.9523809523809523, 0.9166666666666666, 0.7142857142857143, 0.7976190476190477, 0.7619047619047619, 0.7261904761904762, 0.7142857142857143]
  mean: 0.8285714286, std: 0.1194279638
F1 Score: [0.9282051282051282, 0.3592558139534884, 0.9038901601830663, 0.8675268817204301, 0.8541666666666667, 0.89272030651341, 0.9166548547129695, 0.9642401021711366, 0.9523539421440725, 0.916083916083916, 0.7142857142857143, 0.7926528241614637, 0.7551020408163265, 0.71449682281661, 0.7061224489795919]
  mean: 0.8158505082, std: 0.1498039700
Accuracy Intime: [1.0, 0.7941176470588235, 1.0, 0.9117647058823529, 0.9375, 0.9411764705882353, 0.9705882352941176, 0.7647058823529411, 1.0, 0.90625, 0.9411764705882353, 0.9705882352941176, 0.9117647058823529, 0.9411764705882353, 0.9375]
  mean: 0.9285539216, std: 0.0660635838
F1 In Time: [1.0, 0.7925021795989537, 1.0, 0.9110723626852659, 0.9372549019607843, 0.9409722222222222, 0.970357454228422, 0.7509157509157509, 1.0, 0.9054187192118226, 0.9409722222222222, 0.9705627705627706, 0.9116883116883117, 0.9403508771929825, 0.9372549019607843]
  mean: 0.9272881783, std: 0.0686010552
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9047619047619048, 0.8571428571428571, 0.8928571428571429, 0.9047619047619048, 0.8928571428571429, 0.9642857142857143, 0.9761904761904762, 0.8214285714285714, 0.9523809523809523, 0.9047619047619048, 0.7857142857142857, 0.8333333333333334, 0.7976190476190477, 0.8333333333333334, 0.8333333333333334]
  mean: 0.8769841270, std: 0.0576148934
F1 Score: [0.9042735042735043, 0.8541666666666667, 0.89272030651341, 0.9038901601830663, 0.8916129032258064, 0.9642401021711366, 0.9761904761904762, 0.8155467720685112, 0.9523809523809523, 0.9047078842881452, 0.7754010695187166, 0.8324786324786324, 0.7975903614457831, 0.8309373202990225, 0.8298611111111112]
  mean: 0.8750665482, std: 0.0594548614
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 0.96875, 1.0, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9861519608, std: 0.0182947258
F1 In Time: [1.0, 1.0, 0.9705627705627706, 0.970357454228422, 0.9687194525904204, 1.0, 0.970357454228422, 1.0, 0.9403508771929825, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0]
  mean: 0.9860607186, std: 0.0184614897
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.7738095238095238, 0.8452380952380952, 0.9166666666666666, 0.6785714285714286, 0.8809523809523809, 0.8571428571428571, 0.8095238095238095, 0.8690476190476191, 0.8095238095238095, 0.8809523809523809, 0.8214285714285714, 0.5357142857142857, 0.8571428571428571, 0.75, 0.6785714285714286]
  mean: 0.7976190476, std: 0.0976867748
F1 Score: [0.7711827956989248, 0.8425378514780101, 0.9163703598350164, 0.6679841897233202, 0.879862700228833, 0.8570618264322178, 0.8055555555555556, 0.8681318681318682, 0.8055555555555556, 0.8803418803418803, 0.8201798201798203, 0.4980848781982534, 0.8550891316848763, 0.7365197908887229, 0.6525203002910984]
  mean: 0.7904652336, std: 0.1075217299
Accuracy Intime: [0.8235294117647058, 0.9411764705882353, 0.9117647058823529, 0.8235294117647058, 1.0, 0.9411764705882353, 0.9411764705882353, 0.8823529411764706, 0.9411764705882353, 0.9375, 1.0, 0.9411764705882353, 0.8823529411764706, 0.9117647058823529, 1.0]
  mean: 0.9252450980, std: 0.0534909274
F1 In Time: [0.8229166666666667, 0.9403508771929825, 0.9116883116883117, 0.8210526315789474, 1.0, 0.9403508771929825, 0.9409722222222222, 0.8819444444444444, 0.9403508771929825, 0.9375, 1.0, 0.9403508771929825, 0.8785714285714286, 0.9098143236074271, 1.0]
  mean: 0.9243909025, std: 0.0540781261
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.9166666666666666, 0.8095238095238095, 0.8809523809523809, 0.8214285714285714, 0.7857142857142857, 0.5833333333333334, 0.8928571428571429, 0.8452380952380952, 0.9166666666666666, 0.9047619047619048, 0.7261904761904762, 0.7023809523809523, 0.6190476190476191, 0.47619047619047616, 0.7023809523809523]
  mean: 0.7722222222, std: 0.1300376905
F1 Score: [0.916083916083916, 0.8055555555555556, 0.8803418803418803, 0.8170466095542326, 0.7795918367346939, 0.5269509251810136, 0.8924761769307352, 0.8414403949470016, 0.9163703598350164, 0.9038901601830663, 0.7039987743220468, 0.6825396825396826, 0.5543766578249337, 0.4206896551724138, 0.7020008514261388]
  mean: 0.7562235624, std: 0.1500903998
Accuracy Intime: [0.7647058823529411, 1.0, 1.0, 1.0, 1.0, 0.8823529411764706, 0.9705882352941176, 1.0, 1.0, 0.90625, 0.7647058823529411, 0.8235294117647058, 0.9117647058823529, 1.0, 0.96875]
  mean: 0.9328431373, std: 0.0842515374
F1 In Time: [0.7571428571428571, 1.0, 1.0, 1.0, 1.0, 0.8819444444444444, 0.970357454228422, 1.0, 1.0, 0.9054187192118226, 0.7424242424242424, 0.8235294117647058, 0.9116883116883117, 1.0, 0.9687194525904204]
  mean: 0.9307483262, std: 0.0883435177
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.5833333333333334, 0.5238095238095238, 0.5119047619047619, 0.5476190476190477, 0.5357142857142857, 0.7023809523809523, 0.9285714285714286, 0.7142857142857143, 0.6785714285714286, 0.9285714285714286, 0.5833333333333334, 0.6904761904761905, 0.7261904761904762, 0.5952380952380952, 0.8214285714285714]
  mean: 0.6714285714, std: 0.1324802642
F1 Score: [0.4957983193277311, 0.3841642228739003, 0.3592558139534884, 0.43121881682109764, 0.42394935818533497, 0.6825396825396826, 0.928409090909091, 0.6888888888888889, 0.6571428571428571, 0.9285309132161089, 0.4957983193277311, 0.6860264519838988, 0.7194714679831566, 0.5159322033898305, 0.8212005108556832]
  mean: 0.6145551278, std: 0.1814749644
Accuracy Intime: [0.5588235294117647, 0.7941176470588235, 0.8823529411764706, 0.9705882352941176, 1.0, 0.5294117647058824, 0.8823529411764706, 0.7352941176470589, 0.9117647058823529, 1.0, 0.5882352941176471, 0.8823529411764706, 0.8529411764705882, 0.9705882352941176, 0.96875]
  mean: 0.8351715686, std: 0.1558228976
F1 In Time: [0.48328267477203646, 0.7925021795989537, 0.880701754385965, 0.970357454228422, 1.0, 0.34615384615384615, 0.8823529411764706, 0.7043478260869566, 0.9116883116883117, 1.0, 0.5296442687747036, 0.8823529411764706, 0.85178727114211, 0.9705627705627706, 0.9687194525904204]
  mean: 0.8116302462, std: 0.1980517769
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [1.0, 0.9404761904761905, 0.9523809523809523, 0.9166666666666666, 0.9523809523809523, 0.9880952380952381, 0.9880952380952381, 1.0, 0.8690476190476191, 0.9880952380952381, 0.9761904761904762, 1.0, 0.9642857142857143, 0.9523809523809523, 0.9642857142857143]
  mean: 0.9634920635, std: 0.0346308321
F1 Score: [1.0, 0.9402645427392974, 0.9522727272727273, 0.916083916083916, 0.9522727272727273, 0.9880935506732813, 0.9880935506732813, 1.0, 0.86676279740447, 0.9880935506732813, 0.9761769710720363, 1.0, 0.9642806520198441, 0.9522727272727273, 0.9642401021711366]
  mean: 0.9632605210, std: 0.0351157073
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9882352941, std: 0.0179708851
F1 In Time: [1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9705627705627706, 0.9411764705882353, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0]
  mean: 0.9882285035, std: 0.0179775556
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.9880952380952381, 0.7619047619047619, 0.9166666666666666, 0.7738095238095238, 0.8690476190476191, 0.9166666666666666, 0.9642857142857143, 1.0, 0.9880952380952381, 0.8928571428571429, 0.5476190476190477, 0.9166666666666666, 0.8333333333333334, 0.9761904761904762, 0.9761904761904762]
  mean: 0.8880952381, std: 0.1167880807
F1 Score: [0.9880935506732813, 0.7475961538461539, 0.916083916083916, 0.761613144137416, 0.86676279740447, 0.9163703598350164, 0.9642806520198441, 1.0, 0.9880935506732813, 0.8916129032258064, 0.43121881682109764, 0.916083916083916, 0.8285714285714285, 0.9761769710720363, 0.9761904761904762]
  mean: 0.8779165758, std: 0.1421599629
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.7352941176470589, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9784313725, std: 0.0657374691
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.7235772357723578, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9776468518, std: 0.0686283212
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9404761904761905, 0.8333333333333334, 0.8809523809523809, 0.9285714285714286, 0.7619047619047619, 0.8809523809523809, 0.9166666666666666, 0.9523809523809523, 0.8571428571428571, 0.7976190476190477, 0.6190476190476191, 0.6666666666666666, 0.9166666666666666, 0.6666666666666666, 0.7023809523809523]
  mean: 0.8214285714, std: 0.1085010911
F1 Score: [0.9404677533664068, 0.8298611111111112, 0.879862700228833, 0.928409090909091, 0.7529411764705882, 0.879862700228833, 0.9163703598350164, 0.9522727272727273, 0.8541666666666667, 0.7909530083443127, 0.5543766578249337, 0.6571428571428571, 0.9163703598350164, 0.625, 0.6971881759192502]
  mean: 0.8116830230, std: 0.1225442099
Accuracy Intime: [0.9705882352941176, 0.9411764705882353, 0.9411764705882353, 1.0, 0.75, 1.0, 0.9705882352941176, 0.8529411764705882, 0.9411764705882353, 0.8125, 0.9705882352941176, 1.0, 0.9117647058823529, 0.9411764705882353, 0.875]
  mean: 0.9252450980, std: 0.0708541085
F1 In Time: [0.9705627705627706, 0.9411764705882353, 0.9411764705882353, 1.0, 0.7408906882591093, 1.0, 0.970357454228422, 0.85178727114211, 0.9403508771929825, 0.8056680161943319, 0.9705627705627706, 1.0, 0.9110723626852659, 0.9409722222222222, 0.8745098039215686]
  mean: 0.9239391452, std: 0.0731761213
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.6785714285714286, 0.7142857142857143, 0.7976190476190477, 0.8095238095238095, 0.7023809523809523, 0.8809523809523809, 0.9642857142857143, 0.9523809523809523, 0.8571428571428571, 0.9523809523809523, 0.8214285714285714, 0.6904761904761905, 0.9404761904761905, 0.9166666666666666, 0.7738095238095238]
  mean: 0.8301587302, std: 0.0992666483
F1 Score: [0.6415362731152205, 0.6888888888888889, 0.7889759125166248, 0.8023529411764705, 0.6734566941377702, 0.8792409430707303, 0.9642401021711366, 0.9523809523809523, 0.8541666666666667, 0.9523539421440725, 0.8170466095542326, 0.6888888888888889, 0.9402645427392974, 0.916083916083916, 0.7663592446201142]
  mean: 0.8217491012, std: 0.1083323848
Accuracy Intime: [0.9411764705882353, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9117647058823529, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9117647058823529, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9803921569, std: 0.0316166971
F1 In Time: [0.9409722222222222, 1.0, 0.9705627705627706, 1.0, 1.0, 0.9098143236074271, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9098143236074271, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9801150940, std: 0.0322005690
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.7857142857142857, 0.8690476190476191, 0.9047619047619048, 0.8095238095238095, 1.0, 0.9166666666666666, 0.9523809523809523, 0.9642857142857143, 0.8571428571428571, 0.9285714285714286, 0.5595238095238095, 0.8571428571428571, 0.8571428571428571, 0.8690476190476191, 0.7976190476190477]
  mean: 0.8619047619, std: 0.1004336779
F1 Score: [0.7754010695187166, 0.8675268817204301, 0.9038901601830663, 0.8023529411764705, 1.0, 0.916083916083916, 0.9522727272727273, 0.9642806520198441, 0.8550891316848763, 0.9285714285714286, 0.5487149702337738, 0.8564102564102565, 0.8568181818181818, 0.8681318681318682, 0.7962037962037962]
  mean: 0.8594498654, std: 0.1034009540
Accuracy Intime: [0.7058823529411765, 0.9705882352941176, 1.0, 0.9411764705882353, 0.90625, 1.0, 0.9705882352941176, 0.9705882352941176, 0.8529411764705882, 0.9375, 0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 1.0]
  mean: 0.9444852941, std: 0.0752680475
F1 In Time: [0.6964285714285714, 0.970357454228422, 1.0, 0.9409722222222222, 0.9054187192118226, 1.0, 0.970357454228422, 0.9705627705627706, 0.85178727114211, 0.9372549019607843, 0.9705627705627706, 1.0, 1.0, 0.9403508771929825, 1.0]
  mean: 0.9436035342, std: 0.0773862732
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9880952380952381, 0.8095238095238095, 0.7738095238095238, 0.5476190476190477, 0.5, 0.6666666666666666, 0.6785714285714286, 0.7976190476190477, 0.7619047619047619, 0.9523809523809523, 0.8690476190476191, 0.9404761904761905, 0.9047619047619048, 0.8690476190476191, 0.9166666666666666]
  mean: 0.7984126984, std: 0.1416260891
F1 Score: [0.9880935506732813, 0.8040816326530613, 0.7641495492832866, 0.43121881682109764, 0.3333333333333333, 0.6313479623824452, 0.6415362731152205, 0.79408795962509, 0.7475961538461539, 0.9523539421440725, 0.8681318681318682, 0.9402645427392974, 0.9047619047619048, 0.8688803746275011, 0.9163703598350164]
  mean: 0.7724138816, std: 0.1847824571
Accuracy Intime: [1.0, 1.0, 0.7941176470588235, 0.8235294117647058, 1.0, 0.9705882352941176, 0.9411764705882353, 0.9117647058823529, 0.9411764705882353, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 1.0]
  mean: 0.9529411765, std: 0.0633548801
F1 In Time: [1.0, 1.0, 0.793939393939394, 0.8235294117647058, 1.0, 0.970357454228422, 0.9411764705882353, 0.9098143236074271, 0.9411764705882353, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9705627705627706, 1.0]
  mean: 0.9527821844, std: 0.0634661696
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.8452380952380952, 0.8452380952380952, 0.9523809523809523, 0.8452380952380952, 0.8809523809523809, 0.9642857142857143, 0.9880952380952381, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.6428571428571429, 0.7738095238095238, 0.5952380952380952, 0.75, 0.5357142857142857]
  mean: 0.8341269841, std: 0.1417594512
F1 Score: [0.8441558441558441, 0.8425378514780101, 0.9523539421440725, 0.8414403949470016, 0.879862700228833, 0.9642401021711366, 0.9880935506732813, 0.9642401021711366, 0.9642401021711366, 0.9642401021711366, 0.5906432748538011, 0.7641495492832866, 0.5159322033898305, 0.7333333333333334, 0.408130081300813]
  mean: 0.8145062090, std: 0.1749294618
Accuracy Intime: [0.9411764705882353, 0.9411764705882353, 0.9411764705882353, 0.9411764705882353, 0.90625, 1.0, 0.9117647058823529, 0.9705882352941176, 0.9411764705882353, 0.90625, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 1.0]
  mean: 0.9541666667, std: 0.0330096198
F1 In Time: [0.9403508771929825, 0.9403508771929825, 0.9411764705882353, 0.9409722222222222, 0.906158357771261, 1.0, 0.9116883116883117, 0.9705627705627706, 0.9409722222222222, 0.9054187192118226, 0.970357454228422, 0.9409722222222222, 1.0, 1.0, 1.0]
  mean: 0.9539320337, std: 0.0331574767
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.8460317460317461, 0.8912698412698412, 0.8285714285714285, 0.8769841269841271, 0.7976190476190477, 0.7722222222222223, 0.6714285714285714, 0.9634920634920634, 0.888095238095238, 0.8214285714285713, 0.83015873015873, 0.8619047619047621, 0.7984126984126985, 0.834126984126984]
f1_score_list: [0.8284844154008539, 0.8894125645094029, 0.8158505082275994, 0.8750665481876628, 0.7904652336149302, 0.756223562442155, 0.6145551278265654, 0.9632605210219152, 0.877916575775876, 0.8116830230103761, 0.8217491012103323, 0.8594498654019571, 0.7724138815981755, 0.8145062089648435]
accuracy_intime_list: [0.9323529411764706, 0.9655637254901961, 0.9285539215686275, 0.9861519607843138, 0.9252450980392157, 0.9328431372549021, 0.8351715686274511, 0.9882352941176471, 0.9784313725490196, 0.9252450980392157, 0.9803921568627452, 0.9444852941176471, 0.9529411764705883, 0.9541666666666667]
f1_in_time_list: [0.9198226444886477, 0.9651509945445745, 0.9272881782966861, 0.9860607186243857, 0.9243909025034251, 0.9307483262330152, 0.8116302461558291, 0.9882285035226211, 0.9776468517931931, 0.9239391452098682, 0.9801150940375079, 0.9436035341827252, 0.9527821843911616, 0.9539320336735636]
**************************************************
Mean Accuracy: 0.8344104308
Mean F1: 0.8207883669
Std Accuracy: 0.0647971087
Std F1: 0.0769412175
Mean Accuracy (Intime): 0.9449842437
Std Accuracy (Intime): 0.0377248136
Mean F1 (Intime): 0.9418099541
Std F1 (Intime): 0.0431492125
ACC: 83.44±6.48
F1: 82.08±7.69
Intime: 94.50±3.77
F1 (Intime): 94.18±4.31
