Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.9047619047619048, 0.9523809523809523, 0.9285714285714286, 0.9166666666666666, 0.8809523809523809, 0.9642857142857143, 0.9166666666666666, 0.9166666666666666, 0.8928571428571429, 0.9642857142857143, 0.7857142857142857, 0.7976190476190477, 0.8928571428571429, 0.7619047619047619, 0.7738095238095238]
  mean: 0.8833333333, std: 0.0670904895
F1 Score: [0.9042735042735043, 0.9522727272727273, 0.9282051282051282, 0.916083916083916, 0.8792409430707303, 0.9642401021711366, 0.916083916083916, 0.916083916083916, 0.8916129032258064, 0.9642401021711366, 0.7837528604118993, 0.7968994453136111, 0.8928419560595322, 0.7597254004576659, 0.7737774627923459]
  mean: 0.8826222856, std: 0.0675035049
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 0.9705882352941176, 1.0, 0.9705882352941176, 0.9705882352941176, 0.8823529411764706, 0.9117647058823529, 0.96875, 1.0, 1.0, 0.9411764705882353, 0.8823529411764706, 1.0]
  mean: 0.9587009804, std: 0.0383885660
F1 In Time: [0.9705627705627706, 0.9705627705627706, 0.9403508771929825, 0.970357454228422, 1.0, 0.970357454228422, 0.9705627705627706, 0.880701754385965, 0.9110723626852659, 0.9687194525904204, 1.0, 1.0, 0.9409722222222222, 0.8785714285714286, 1.0]
  mean: 0.9581860879, std: 0.0391891370
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.9761904761904762, 0.9047619047619048, 0.9642857142857143, 0.9761904761904762, 0.9523809523809523, 0.9404761904761905, 0.8928571428571429, 0.9166666666666666, 0.9285714285714286, 0.9285714285714286, 0.9047619047619048, 0.9404761904761905, 0.8571428571428571, 0.9523809523809523, 0.9166666666666666]
  mean: 0.9301587302, std: 0.0316068377
F1 Score: [0.9761769710720363, 0.9038901601830663, 0.9642806520198441, 0.9761769710720363, 0.9523809523809523, 0.9404677533664068, 0.8924761769307352, 0.9166548547129695, 0.928409090909091, 0.9282051282051282, 0.9047078842881452, 0.9404677533664068, 0.8564102564102565, 0.9523539421440725, 0.9166548547129695]
  mean: 0.9299808935, std: 0.0317976700
Accuracy Intime: [0.9411764705882353, 0.9411764705882353, 0.9705882352941176, 0.9705882352941176, 0.96875, 0.9411764705882353, 0.9705882352941176, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9117647058823529, 0.9705882352941176, 0.9705882352941176, 1.0, 0.96875]
  mean: 0.9605392157, std: 0.0254789992
F1 In Time: [0.9411764705882353, 0.9409722222222222, 0.970357454228422, 0.9705627705627706, 0.9687194525904204, 0.9411764705882353, 0.970357454228422, 0.9116883116883117, 0.970357454228422, 1.0, 0.9116883116883117, 0.9705627705627706, 0.9705627705627706, 1.0, 0.9687194525904204]
  mean: 0.9604600911, std: 0.0254874802
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.8214285714285714, 0.7738095238095238, 0.75, 0.7976190476190477, 0.7261904761904762, 0.7857142857142857, 0.7142857142857143, 0.7619047619047619, 0.7261904761904762, 0.7619047619047619, 0.8095238095238095, 0.7142857142857143, 0.6666666666666666, 0.7380952380952381, 0.7976190476190477]
  mean: 0.7563492063, std: 0.0412087460
F1 Score: [0.8170466095542326, 0.7641495492832866, 0.7417654808959157, 0.7926528241614637, 0.7114264376400299, 0.7855927396483267, 0.7141236528644356, 0.761769710720363, 0.7261516654854713, 0.7619047619047619, 0.8040816326530613, 0.6888888888888889, 0.6370370370370371, 0.71880706025563, 0.7889759125166248]
  mean: 0.7476249309, std: 0.0471175302
Accuracy Intime: [0.9411764705882353, 0.9411764705882353, 0.9411764705882353, 0.8823529411764706, 0.875, 0.8529411764705882, 0.9411764705882353, 0.8235294117647058, 0.9117647058823529, 0.96875, 0.8823529411764706, 0.9411764705882353, 0.9117647058823529, 0.8235294117647058, 0.875]
  mean: 0.9008578431, std: 0.0441608585
F1 In Time: [0.9409722222222222, 0.9411764705882353, 0.9409722222222222, 0.8823529411764706, 0.8745098039215686, 0.8528138528138528, 0.9411764705882353, 0.8235294117647058, 0.9116883116883117, 0.9687194525904204, 0.8823529411764706, 0.9411764705882353, 0.9116883116883117, 0.8178571428571428, 0.8745098039215686]
  mean: 0.9003663887, std: 0.0448565149
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9285714285714286, 0.8214285714285714, 0.8690476190476191, 0.8928571428571429, 0.8095238095238095, 0.7857142857142857, 0.8809523809523809, 0.8690476190476191, 0.8809523809523809, 0.7976190476190477, 0.8095238095238095, 0.7738095238095238, 0.8095238095238095, 0.7857142857142857, 0.7976190476190477]
  mean: 0.8341269841, std: 0.0463046100
F1 Score: [0.928409090909091, 0.8207936282178923, 0.86676279740447, 0.8921078921078921, 0.8085470085470086, 0.7846153846153847, 0.8803418803418803, 0.8675268817204301, 0.8792409430707303, 0.79408795962509, 0.8055555555555556, 0.7682590387686947, 0.8085470085470086, 0.7795918367346939, 0.7909530083443127]
  mean: 0.8316893276, std: 0.0476427414
Accuracy Intime: [0.9411764705882353, 0.8823529411764706, 0.9705882352941176, 0.8235294117647058, 0.9375, 0.9705882352941176, 1.0, 0.9705882352941176, 0.7941176470588235, 1.0, 0.9705882352941176, 0.8823529411764706, 1.0, 0.9411764705882353, 0.84375]
  mean: 0.9285539216, std: 0.0649840371
F1 In Time: [0.9409722222222222, 0.8823529411764706, 0.970357454228422, 0.8210526315789474, 0.9375, 0.9705627705627706, 1.0, 0.9705627705627706, 0.7850045167118338, 1.0, 0.9705627705627706, 0.880701754385965, 1.0, 0.9409722222222222, 0.8435972629521017]
  mean: 0.9276132878, std: 0.0666010681
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.8690476190476191, 0.7857142857142857, 0.8214285714285714, 0.8452380952380952, 0.8690476190476191, 0.7976190476190477, 0.8095238095238095, 0.8690476190476191, 0.8809523809523809, 0.8690476190476191, 0.8928571428571429, 0.8214285714285714, 0.8333333333333334, 0.7976190476190477, 0.8452380952380952]
  mean: 0.8404761905, std: 0.0327615356
F1 Score: [0.8685819940264543, 0.7795918367346939, 0.8170466095542326, 0.8446878111221732, 0.8681318681318682, 0.7926528241614637, 0.8055555555555556, 0.8681318681318682, 0.8809523809523809, 0.8685819940264543, 0.8921078921078921, 0.8155467720685112, 0.8285714285714285, 0.7909530083443127, 0.8425378514780101]
  mean: 0.8375754463, std: 0.0349166562
Accuracy Intime: [0.8823529411764706, 0.9705882352941176, 0.9117647058823529, 0.9411764705882353, 0.96875, 0.8529411764705882, 0.9705882352941176, 0.9117647058823529, 0.9117647058823529, 1.0, 0.9705882352941176, 0.9705882352941176, 0.9117647058823529, 0.9411764705882353, 0.96875]
  mean: 0.9389705882, std: 0.0392206645
F1 In Time: [0.880701754385965, 0.9705627705627706, 0.9116883116883117, 0.9403508771929825, 0.9687194525904204, 0.8496905393457117, 0.970357454228422, 0.9110723626852659, 0.9098143236074271, 1.0, 0.970357454228422, 0.970357454228422, 0.9110723626852659, 0.9409722222222222, 0.9687194525904204]
  mean: 0.9382957861, std: 0.0399702797
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.7857142857142857, 0.8333333333333334, 0.8214285714285714, 0.8333333333333334, 0.8095238095238095, 0.7023809523809523, 0.7619047619047619, 0.6904761904761905, 0.6904761904761905, 0.7261904761904762, 0.9523809523809523, 0.9285714285714286, 0.9404761904761905, 0.9047619047619048, 0.9642857142857143]
  mean: 0.8230158730, std: 0.0941271180
F1 Score: [0.7855927396483267, 0.8318077803203661, 0.8193548387096774, 0.8309373202990225, 0.8055555555555556, 0.6950776825903877, 0.7584818861414606, 0.6840277777777777, 0.6816326530612244, 0.7171717171717171, 0.9523539421440725, 0.928409090909091, 0.9404677533664068, 0.9047078842881452, 0.9642401021711366]
  mean: 0.8199879149, std: 0.0969580187
Accuracy Intime: [0.7941176470588235, 0.8235294117647058, 0.8823529411764706, 1.0, 0.96875, 0.9705882352941176, 0.9705882352941176, 0.8529411764705882, 0.8823529411764706, 1.0, 0.8235294117647058, 0.7941176470588235, 0.8823529411764706, 0.8823529411764706, 0.875]
  mean: 0.8935049020, std: 0.0694079825
F1 In Time: [0.7895667550839964, 0.8235294117647058, 0.8785714285714286, 1.0, 0.9687194525904204, 0.970357454228422, 0.9705627705627706, 0.8528138528138528, 0.8819444444444444, 1.0, 0.8210526315789474, 0.793939393939394, 0.880701754385965, 0.8823529411764706, 0.8745098039215686]
  mean: 0.8925748063, std: 0.0700926713
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.75, 0.7976190476190477, 0.8333333333333334, 0.7619047619047619, 0.8333333333333334, 0.9404761904761905, 0.9404761904761905, 0.9285714285714286, 0.9047619047619048, 0.9404761904761905, 0.7857142857142857, 0.7857142857142857, 0.7976190476190477, 0.8333333333333334, 0.8333333333333334]
  mean: 0.8444444444, std: 0.0662781574
F1 Score: [0.7417654808959157, 0.7926528241614637, 0.8332387975042541, 0.761769710720363, 0.8318077803203661, 0.9404001702852277, 0.9404677533664068, 0.928409090909091, 0.9047078842881452, 0.9404677533664068, 0.7857142857142857, 0.7846153846153847, 0.7975903614457831, 0.8333333333333334, 0.8329545454545455]
  mean: 0.8433263438, std: 0.0673976643
Accuracy Intime: [0.9117647058823529, 0.8823529411764706, 0.9117647058823529, 0.9705882352941176, 0.9375, 0.7647058823529411, 0.9411764705882353, 0.9411764705882353, 0.9117647058823529, 0.96875, 0.8235294117647058, 0.9117647058823529, 0.9411764705882353, 0.8823529411764706, 0.90625]
  mean: 0.9071078431, std: 0.0521612739
F1 In Time: [0.9116883116883117, 0.8819444444444444, 0.9110723626852659, 0.970357454228422, 0.9372549019607843, 0.7614035087719297, 0.9411764705882353, 0.9403508771929825, 0.9116883116883117, 0.9687194525904204, 0.8210526315789474, 0.9116883116883117, 0.9409722222222222, 0.8823529411764706, 0.9054187192118226]
  mean: 0.9064760614, std: 0.0529620590
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9523809523809523, 0.9404761904761905, 0.9285714285714286, 0.9404761904761905, 0.9404761904761905, 0.9880952380952381, 0.8809523809523809, 0.9642857142857143, 0.9880952380952381, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 0.9404761904761905, 0.9880952380952381]
  mean: 0.9579365079, std: 0.0294400587
F1 Score: [0.9522727272727273, 0.9404001702852277, 0.928409090909091, 0.9404001702852277, 0.9404001702852277, 0.9880935506732813, 0.8792409430707303, 0.9642401021711366, 0.9880935506732813, 0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 0.9761904761904762, 0.9402645427392974, 0.9880935506732813]
  mean: 0.9577684166, std: 0.0297672043
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875]
  mean: 0.9939950980, std: 0.0161160115
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9409722222222222, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9687194525904204]
  mean: 0.9939794450, std: 0.0161638381
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.9523809523809523, 0.9880952380952381, 0.9880952380952381, 0.9523809523809523, 0.8690476190476191, 0.9523809523809523, 0.9761904761904762, 0.9761904761904762, 0.9285714285714286, 0.9047619047619048, 0.8452380952380952, 0.8214285714285714, 0.7976190476190477, 0.7619047619047619, 0.8095238095238095]
  mean: 0.9015873016, std: 0.0748476238
F1 Score: [0.9523809523809523, 0.9880935506732813, 0.9880935506732813, 0.9522727272727273, 0.86676279740447, 0.9522727272727273, 0.9761769710720363, 0.9761769710720363, 0.9282051282051282, 0.9038901601830663, 0.8414403949470016, 0.8183129055515501, 0.7889759125166248, 0.7475961538461539, 0.8023529411764705]
  mean: 0.8988669229, std: 0.0784949267
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9862745098, std: 0.0181835657
F1 In Time: [0.9705627705627706, 0.9705627705627706, 0.970357454228422, 1.0, 1.0, 1.0, 0.9411764705882353, 0.970357454228422, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0]
  mean: 0.9862386460, std: 0.0182146409
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.8809523809523809, 0.8690476190476191, 0.8571428571428571, 0.8095238095238095, 0.7380952380952381, 0.8571428571428571, 0.8809523809523809, 0.8809523809523809, 0.9166666666666666, 0.9166666666666666, 0.6309523809523809, 0.7261904761904762, 0.7976190476190477, 0.6785714285714286, 0.7857142857142857]
  mean: 0.8150793651, std: 0.0847238485
F1 Score: [0.8808848553601816, 0.8675268817204301, 0.8568181818181818, 0.8067855089131685, 0.7254901960784313, 0.8571428571428571, 0.8808848553601816, 0.8803418803418803, 0.9165602383993188, 0.9163703598350164, 0.5810136765888978, 0.7114264376400299, 0.7926528241614637, 0.6571428571428571, 0.7795918367346939]
  mean: 0.8073755631, std: 0.0963265530
Accuracy Intime: [0.9705882352941176, 0.9117647058823529, 0.9411764705882353, 0.9705882352941176, 0.90625, 1.0, 0.9411764705882353, 0.8823529411764706, 0.9705882352941176, 0.875, 0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 0.9117647058823529, 1.0]
  mean: 0.9442401961, std: 0.0382050377
F1 In Time: [0.9705627705627706, 0.9110723626852659, 0.9409722222222222, 0.970357454228422, 0.906158357771261, 1.0, 0.9411764705882353, 0.8819444444444444, 0.9705627705627706, 0.875, 0.9705627705627706, 0.970357454228422, 0.9403508771929825, 0.9110723626852659, 1.0]
  mean: 0.9440100212, std: 0.0383153302
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.8571428571428571, 0.8333333333333334, 0.9166666666666666, 0.8095238095238095, 0.8333333333333334, 0.8095238095238095, 0.8809523809523809, 0.8452380952380952, 0.8690476190476191, 0.8809523809523809, 0.9166666666666666, 0.9642857142857143, 0.9523809523809523, 0.8809523809523809, 0.8928571428571429]
  mean: 0.8761904762, std: 0.0455503011
F1 Score: [0.8550891316848763, 0.8298611111111112, 0.9165602383993188, 0.8040816326530613, 0.8285714285714285, 0.8040816326530613, 0.8806818181818181, 0.8425378514780101, 0.8685819940264543, 0.8792409430707303, 0.916083916083916, 0.9642806520198441, 0.9523809523809523, 0.879862700228833, 0.8916129032258064]
  mean: 0.8742339271, std: 0.0472288570
Accuracy Intime: [0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 0.90625, 1.0, 1.0, 0.8529411764705882, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9741421569, std: 0.0419851582
F1 In Time: [0.9705627705627706, 1.0, 0.9403508771929825, 1.0, 0.9054187192118226, 1.0, 1.0, 0.8496905393457117, 0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9738098965, std: 0.0427452914
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.9047619047619048, 0.8809523809523809, 0.9285714285714286, 0.9047619047619048, 0.8571428571428571, 0.8928571428571429, 0.7738095238095238, 0.7976190476190477, 0.8095238095238095, 0.7023809523809523, 0.8214285714285714, 0.8452380952380952, 0.8333333333333334, 0.8095238095238095, 0.8333333333333334]
  mean: 0.8396825397, std: 0.0568222931
F1 Score: [0.9042735042735043, 0.8806818181818181, 0.9285309132161089, 0.9042735042735043, 0.8550891316848763, 0.8916129032258064, 0.7735206470838655, 0.7975903614457831, 0.8094157685762904, 0.6971881759192502, 0.8170466095542326, 0.8434408602150538, 0.8324786324786324, 0.8090909090909091, 0.8298611111111112]
  mean: 0.8382729900, std: 0.0576216780
Accuracy Intime: [0.6764705882352942, 0.9117647058823529, 1.0, 1.0, 0.8125, 0.8235294117647058, 0.9705882352941176, 1.0, 0.9705882352941176, 0.90625, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9117647058823529, 1.0]
  mean: 0.9243872549, std: 0.0894243479
F1 In Time: [0.652093023255814, 0.9116883116883117, 1.0, 1.0, 0.8056680161943319, 0.8210526315789474, 0.9705627705627706, 1.0, 0.970357454228422, 0.906158357771261, 0.9116883116883117, 0.9705627705627706, 1.0, 0.9116883116883117, 1.0]
  mean: 0.9221013306, std: 0.0947340850
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.9523809523809523, 0.9166666666666666, 0.8690476190476191, 0.9166666666666666, 0.9285714285714286, 0.8214285714285714, 0.8214285714285714, 0.8214285714285714, 0.8095238095238095, 0.8333333333333334, 0.9166666666666666, 0.9404761904761905, 0.9523809523809523, 0.9285714285714286, 0.9047619047619048]
  mean: 0.8888888889, std: 0.0515567675
F1 Score: [0.9523809523809523, 0.9163703598350164, 0.86676279740447, 0.9166548547129695, 0.9285714285714286, 0.8201798201798203, 0.8170466095542326, 0.8212005108556832, 0.8055555555555556, 0.8298611111111112, 0.9165602383993188, 0.9402645427392974, 0.9523539421440725, 0.928409090909091, 0.9047078842881452]
  mean: 0.8877919799, std: 0.0527518670
Accuracy Intime: [0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.96875, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 0.96875]
  mean: 0.9821078431, std: 0.0181413946
F1 In Time: [0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 0.9687194525904204, 0.9705627705627706, 0.9705627705627706, 1.0, 0.970357454228422, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 0.9687194525904204]
  mean: 0.9820815941, std: 0.0181585541
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.9047619047619048, 0.8809523809523809, 0.8690476190476191, 0.8809523809523809, 0.8333333333333334, 0.9523809523809523, 0.9880952380952381, 0.9285714285714286, 0.8809523809523809, 0.9523809523809523, 0.9404761904761905, 0.9642857142857143, 0.9642857142857143, 0.9285714285714286, 0.9166666666666666]
  mean: 0.9190476190, std: 0.0417402978
F1 Score: [0.9042735042735043, 0.8806818181818181, 0.8685819940264543, 0.8792409430707303, 0.8333333333333334, 0.9522727272727273, 0.9880935506732813, 0.9282051282051282, 0.8792409430707303, 0.9522727272727273, 0.9404677533664068, 0.9642401021711366, 0.9642401021711366, 0.9282051282051282, 0.916083916083916]
  mean: 0.9186289114, std: 0.0419886043
Accuracy Intime: [1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.96875, 1.0, 0.7647058823529411, 0.9705882352941176, 1.0, 0.96875, 1.0, 0.8235294117647058, 1.0, 1.0, 0.96875]
  mean: 0.9604166667, std: 0.0675906450
F1 In Time: [1.0, 0.970357454228422, 0.9705627705627706, 1.0, 0.9687194525904204, 1.0, 0.7509157509157509, 0.9705627705627706, 1.0, 0.9687194525904204, 1.0, 0.8178571428571428, 1.0, 1.0, 0.9687194525904204]
  mean: 0.9590942831, std: 0.0710244173
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.8833333333333332, 0.9301587301587302, 0.7563492063492063, 0.8341269841269843, 0.8404761904761904, 0.823015873015873, 0.8444444444444447, 0.9579365079365078, 0.9015873015873017, 0.8150793650793652, 0.8761904761904762, 0.8396825396825398, 0.8888888888888888, 0.9190476190476189]
f1_score_list: [0.882622285578465, 0.929980893451608, 0.7476249309006352, 0.831689327634009, 0.8375754463311533, 0.8199879149436244, 0.8433263437587316, 0.9577684165831121, 0.8988669229498338, 0.8073755631491725, 0.8742339270512816, 0.8382729900220498, 0.8877919799094108, 0.9186289114252107]
accuracy_intime_list: [0.9587009803921569, 0.9605392156862745, 0.900857843137255, 0.9285539215686275, 0.9389705882352942, 0.8935049019607845, 0.9071078431372549, 0.9939950980392157, 0.9862745098039216, 0.9442401960784313, 0.9741421568627452, 0.9243872549019608, 0.982107843137255, 0.9604166666666667]
f1_in_time_list: [0.9581860878528959, 0.9604600910886489, 0.9003663886538651, 0.9276132878110998, 0.9382957861494686, 0.8925748063374924, 0.9064760614477921, 0.9939794449875095, 0.9862386460488927, 0.9440100211823221, 0.9738098964959219, 0.9221013306146169, 0.9820815941499054, 0.9590942831265412]
**************************************************
Mean Accuracy: 0.8650226757
Mean F1: 0.8625532753
Std Accuracy: 0.0513061099
Std F1: 0.0533535086
Mean Accuracy (Intime): 0.9466999300
Std Accuracy (Intime): 0.0313108193
Mean F1 (Intime): 0.9460919804
Std F1 (Intime): 0.0316190905
ACC: 86.50±5.13
F1: 86.26±5.34
Intime: 94.67±3.13
F1 (Intime): 94.61±3.16
