Learning Rate: 0.0001

Subject Number: 1
Accuracy Cross: [0.7023809523809523, 0.7619047619047619, 0.7023809523809523, 0.7142857142857143, 0.7261904761904762, 0.7976190476190477, 0.8095238095238095, 0.8214285714285714, 0.8214285714285714, 0.8214285714285714, 0.7976190476190477, 0.7857142857142857, 0.8333333333333334, 0.7738095238095238, 0.8214285714285714]
  mean: 0.7793650794, std: 0.0453562923
F1 Score: [0.6971881759192502, 0.7613636363636364, 0.6989247311827957, 0.7141236528644356, 0.723010752688172, 0.7962037962037962, 0.8094157685762904, 0.8212005108556832, 0.8183129055515501, 0.8207936282178923, 0.7975903614457831, 0.7855927396483267, 0.8332387975042541, 0.7730052624093302, 0.8201798201798203]
  mean: 0.7780096360, std: 0.0462616475
Accuracy Intime: [0.7647058823529411, 0.7647058823529411, 0.9117647058823529, 0.8823529411764706, 0.875, 0.7352941176470589, 0.8235294117647058, 0.8235294117647058, 0.7352941176470589, 0.875, 0.8823529411764706, 0.7647058823529411, 0.8823529411764706, 0.7352941176470589, 0.875]
  mean: 0.8220588235, std: 0.0631497369
F1 In Time: [0.7571428571428571, 0.7571428571428571, 0.9110723626852659, 0.8819444444444444, 0.8745098039215686, 0.7332170880557978, 0.8178571428571428, 0.8229166666666667, 0.7350649350649351, 0.8745098039215686, 0.8819444444444444, 0.7424242424242424, 0.8819444444444444, 0.7332170880557978, 0.8745098039215686]
  mean: 0.8186278657, std: 0.0657778500
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.8214285714285714, 0.7142857142857143, 0.9285714285714286, 0.7976190476190477, 0.6785714285714286, 0.7619047619047619, 0.6904761904761905, 0.8214285714285714, 0.8214285714285714, 0.8333333333333334, 0.75, 0.7619047619047619, 0.7619047619047619, 0.7380952380952381, 0.7380952380952381]
  mean: 0.7746031746, std: 0.0621586167
F1 Score: [0.8193548387096774, 0.6971153846153846, 0.9285309132161089, 0.79408795962509, 0.6525203002910984, 0.7569444444444444, 0.6904761904761905, 0.8207936282178923, 0.8212005108556832, 0.8329545454545455, 0.7438652533759256, 0.7613636363636364, 0.7569444444444444, 0.7367521367521368, 0.7356979405034325]
  mean: 0.7699068085, std: 0.0663983191
Accuracy Intime: [0.8235294117647058, 0.9117647058823529, 0.9411764705882353, 0.8235294117647058, 0.8125, 0.7647058823529411, 0.7941176470588235, 1.0, 0.9411764705882353, 0.8125, 0.9705882352941176, 0.8823529411764706, 0.8235294117647058, 0.9117647058823529, 0.75]
  mean: 0.8642156863, std: 0.0751112529
F1 In Time: [0.8178571428571428, 0.9116883116883117, 0.9409722222222222, 0.8229166666666667, 0.8095238095238095, 0.7614035087719297, 0.7850045167118338, 1.0, 0.9409722222222222, 0.8056680161943319, 0.970357454228422, 0.880701754385965, 0.8229166666666667, 0.9098143236074271, 0.7333333333333334]
  mean: 0.8608753299, std: 0.0782637422
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.5714285714285714, 0.5833333333333334, 0.5238095238095238, 0.6309523809523809, 0.6071428571428571, 0.6190476190476191, 0.6309523809523809, 0.6428571428571429, 0.6309523809523809, 0.6785714285714286, 0.6785714285714286, 0.6666666666666666, 0.7261904761904762, 0.6666666666666666, 0.75]
  mean: 0.6404761905, std: 0.0560409633
F1 Score: [0.5178571428571429, 0.5353247984826932, 0.44297082228116713, 0.6063492063492064, 0.5452009844134537, 0.6047058823529412, 0.6110530246452577, 0.6326530612244898, 0.6218963264120807, 0.6774285307922059, 0.6748387096774193, 0.6636155606407322, 0.723010752688172, 0.6636155606407322, 0.7496807151979565]
  mean: 0.6180134052, std: 0.0786046365
Accuracy Intime: [0.8235294117647058, 0.8235294117647058, 0.5588235294117647, 0.7352941176470589, 0.78125, 0.9411764705882353, 0.9117647058823529, 0.7352941176470589, 0.7941176470588235, 0.8125, 0.7941176470588235, 0.8235294117647058, 0.8235294117647058, 0.9117647058823529, 0.6875]
  mean: 0.7971813725, std: 0.0919354545
F1 In Time: [0.8235294117647058, 0.8229166666666667, 0.5072463768115942, 0.7294429708222812, 0.7757757757757757, 0.9411764705882353, 0.9116883116883117, 0.7350649350649351, 0.7850045167118338, 0.8117647058823529, 0.7925021795989537, 0.8229166666666667, 0.8235294117647058, 0.9116883116883117, 0.6875]
  mean: 0.7921164474, std: 0.1015436870
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.6904761904761905, 0.7023809523809523, 0.6190476190476191, 0.6309523809523809, 0.7142857142857143, 0.7380952380952381, 0.7261904761904762, 0.7142857142857143, 0.7619047619047619, 0.7738095238095238, 0.7976190476190477, 0.7023809523809523, 0.7142857142857143, 0.7261904761904762, 0.7619047619047619]
  mean: 0.7182539683, std: 0.0465488200
F1 Score: [0.690300623936472, 0.7020008514261388, 0.6170940170940171, 0.6309000708717222, 0.7141236528644356, 0.7282352941176471, 0.7079365079365079, 0.7083333333333333, 0.7613636363636364, 0.7663592446201142, 0.7975903614457831, 0.7002997002997002, 0.7142857142857143, 0.71449682281661, 0.7619047619047619]
  mean: 0.7143483062, std: 0.0459904120
Accuracy Intime: [0.8235294117647058, 0.8235294117647058, 0.7647058823529411, 0.9117647058823529, 0.8125, 0.8235294117647058, 0.7647058823529411, 0.8529411764705882, 0.9705882352941176, 0.6875, 0.7941176470588235, 0.7941176470588235, 0.9117647058823529, 0.8235294117647058, 0.875]
  mean: 0.8289215686, std: 0.0671076462
F1 In Time: [0.8210526315789474, 0.8235294117647058, 0.7571428571428571, 0.9110723626852659, 0.8117647058823529, 0.8235294117647058, 0.7614035087719297, 0.8528138528138528, 0.970357454228422, 0.6862745098039216, 0.7925021795989537, 0.7895667550839964, 0.9098143236074271, 0.8178571428571428, 0.8745098039215686]
  mean: 0.8268793941, std: 0.0679971326
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.5238095238095238, 0.5476190476190477, 0.6190476190476191, 0.6547619047619048, 0.6547619047619048, 0.6904761904761905, 0.7023809523809523, 0.6785714285714286, 0.7380952380952381, 0.8095238095238095, 0.5595238095238095, 0.6071428571428571, 0.5357142857142857, 0.6904761904761905, 0.5833333333333334]
  mean: 0.6396825397, std: 0.0789034192
F1 Score: [0.5102040816326531, 0.5074074074074074, 0.6135710178263369, 0.6462901118048496, 0.6361463778939507, 0.6876430205949657, 0.6925779534475187, 0.6571428571428571, 0.7379466817923993, 0.8077803203661327, 0.5579576162708006, 0.5903650066499188, 0.5324675324675324, 0.671875, 0.5655386434165804]
  mean: 0.6276609086, std: 0.0829807914
Accuracy Intime: [0.9411764705882353, 0.6470588235294118, 0.9411764705882353, 0.8529411764705882, 0.875, 0.7647058823529411, 0.8823529411764706, 0.8235294117647058, 0.7647058823529411, 0.875, 0.8823529411764706, 0.7941176470588235, 0.8823529411764706, 0.7941176470588235, 0.78125]
  mean: 0.8334558824, std: 0.0749789715
F1 In Time: [0.9409722222222222, 0.6421052631578947, 0.9411764705882353, 0.8528138528138528, 0.8745098039215686, 0.7509157509157509, 0.880701754385965, 0.8229166666666667, 0.7638888888888888, 0.875, 0.8785714285714286, 0.7850045167118338, 0.8819444444444444, 0.793939393939394, 0.7702564102564102]
  mean: 0.8303144578, std: 0.0773313608
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.7976190476190477, 0.8333333333333334, 0.7976190476190477, 0.8690476190476191, 0.8452380952380952, 0.6428571428571429, 0.6785714285714286, 0.75, 0.6666666666666666, 0.6785714285714286, 0.6785714285714286, 0.5238095238095238, 0.5119047619047619, 0.5357142857142857, 0.7023809523809523]
  mean: 0.7007936508, std: 0.1120032213
F1 Score: [0.7968994453136111, 0.8329545454545455, 0.7952688172043011, 0.8681318681318682, 0.8434408602150538, 0.6213942307692308, 0.6648440963499335, 0.7438652533759256, 0.6421180766889836, 0.6648440963499335, 0.6781609195402298, 0.5138888888888888, 0.4910595537165657, 0.5324675324675324, 0.7002997002997002]
  mean: 0.6926425257, std: 0.1168865600
Accuracy Intime: [0.6764705882352942, 0.7647058823529411, 0.7647058823529411, 0.9411764705882353, 0.65625, 0.8235294117647058, 0.9117647058823529, 0.7941176470588235, 0.8529411764705882, 0.84375, 0.7941176470588235, 0.6470588235294118, 0.7058823529411765, 0.7647058823529411, 0.9375]
  mean: 0.7919117647, std: 0.0922303303
F1 In Time: [0.652093023255814, 0.7509157509157509, 0.7638888888888888, 0.9409722222222222, 0.6389743589743591, 0.8178571428571428, 0.9110723626852659, 0.7850045167118338, 0.8528138528138528, 0.8398398398398399, 0.7925021795989537, 0.6470588235294118, 0.7048611111111112, 0.7571428571428571, 0.9375]
  mean: 0.7861664620, std: 0.0962706649
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.6666666666666666, 0.6666666666666666, 0.6785714285714286, 0.6666666666666666, 0.6428571428571429, 0.7857142857142857, 0.8452380952380952, 0.8571428571428571, 0.8452380952380952, 0.7857142857142857, 0.5833333333333334, 0.6666666666666666, 0.6904761904761905, 0.7023809523809523, 0.7023809523809523]
  mean: 0.7190476190, std: 0.0808355833
F1 Score: [0.6466346153846154, 0.6506238859180036, 0.6679841897233202, 0.6506238859180036, 0.616555082166768, 0.7852272727272727, 0.8452161587526577, 0.8570618264322178, 0.8452161587526577, 0.7855927396483267, 0.5176374077112387, 0.6466346153846154, 0.6755793226381461, 0.6863330843913369, 0.6863330843913369]
  mean: 0.7042168887, std: 0.0944996669
Accuracy Intime: [0.8823529411764706, 0.7352941176470589, 0.7058823529411765, 0.8823529411764706, 0.5625, 0.7941176470588235, 0.7941176470588235, 0.7941176470588235, 0.7941176470588235, 0.8125, 0.7941176470588235, 0.8235294117647058, 0.8529411764705882, 0.8235294117647058, 0.84375]
  mean: 0.7930147059, std: 0.0767839779
F1 In Time: [0.8785714285714286, 0.7350649350649351, 0.7017543859649122, 0.8819444444444444, 0.5151515151515151, 0.7895667550839964, 0.7786046511627907, 0.793939393939394, 0.793939393939394, 0.8125, 0.7850045167118338, 0.8229166666666667, 0.85178727114211, 0.8229166666666667, 0.8423645320197044]
  mean: 0.7870684371, std: 0.0863850359
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.8690476190476191, 0.9166666666666666, 0.8095238095238095, 0.8928571428571429, 0.8809523809523809, 0.9523809523809523, 0.8214285714285714, 0.8690476190476191, 0.9404761904761905, 0.9404761904761905, 0.7023809523809523, 0.7380952380952381, 0.7738095238095238, 0.75, 0.7738095238095238]
  mean: 0.8420634921, std: 0.0784229799
F1 Score: [0.8675268817204301, 0.9166548547129695, 0.8055555555555556, 0.8924761769307352, 0.879862700228833, 0.9523539421440725, 0.8207936282178923, 0.8685819940264543, 0.9404001702852277, 0.9404001702852277, 0.6925779534475187, 0.7326388888888888, 0.7682590387686947, 0.7482517482517483, 0.7682590387686947]
  mean: 0.8396395161, std: 0.0808708860
Accuracy Intime: [0.8823529411764706, 0.9117647058823529, 0.7941176470588235, 0.9411764705882353, 0.96875, 0.9411764705882353, 0.8823529411764706, 0.8235294117647058, 0.8823529411764706, 0.96875, 0.9411764705882353, 0.8529411764705882, 0.9117647058823529, 0.9411764705882353, 1.0]
  mean: 0.9095588235, std: 0.0549842368
F1 In Time: [0.8819444444444444, 0.9098143236074271, 0.793939393939394, 0.9411764705882353, 0.9687194525904204, 0.9409722222222222, 0.880701754385965, 0.8229166666666667, 0.8819444444444444, 0.9687194525904204, 0.9411764705882353, 0.8496905393457117, 0.9098143236074271, 0.9411764705882353, 1.0]
  mean: 0.9088470953, std: 0.0553622571
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.5476190476190477, 0.5714285714285714, 0.5952380952380952, 0.5714285714285714, 0.5714285714285714, 0.7857142857142857, 0.7857142857142857, 0.7976190476190477, 0.8214285714285714, 0.7619047619047619, 0.36904761904761907, 0.34523809523809523, 0.3333333333333333, 0.47619047619047616, 0.36904761904761907]
  mean: 0.5801587302, std: 0.1713881493
F1 Score: [0.43121881682109764, 0.475, 0.5159322033898305, 0.475, 0.475, 0.7855927396483267, 0.7846153846153847, 0.7973605789697744, 0.8193548387096774, 0.7584818861414606, 0.30772819157207276, 0.34065934065934067, 0.30823529411764705, 0.47619047619047616, 0.30772819157207276]
  mean: 0.5372065295, std: 0.1901849239
Accuracy Intime: [0.7352941176470589, 0.9117647058823529, 0.9705882352941176, 0.9411764705882353, 0.875, 0.9411764705882353, 0.9705882352941176, 0.9411764705882353, 0.9411764705882353, 0.6875, 0.8823529411764706, 0.9705882352941176, 0.9117647058823529, 0.9705882352941176, 0.875]
  mean: 0.9017156863, std: 0.0819720123
F1 In Time: [0.7332170880557978, 0.9116883116883117, 0.9705627705627706, 0.9411764705882353, 0.8745098039215686, 0.9411764705882353, 0.9705627705627706, 0.9403508771929825, 0.9409722222222222, 0.6536796536796536, 0.8823529411764706, 0.9705627705627706, 0.9110723626852659, 0.9705627705627706, 0.873015873015873]
  mean: 0.8990308771, std: 0.0883323378
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.7142857142857143, 0.7619047619047619, 0.75, 0.7619047619047619, 0.7023809523809523, 0.7857142857142857, 0.8333333333333334, 0.8095238095238095, 0.7976190476190477, 0.8452380952380952, 0.5952380952380952, 0.5952380952380952, 0.5357142857142857, 0.5595238095238095, 0.5833333333333334]
  mean: 0.7087301587, std: 0.1030402055
F1 Score: [0.7142857142857143, 0.761769710720363, 0.7482517482517483, 0.7569444444444444, 0.7020008514261388, 0.7846153846153847, 0.8329545454545455, 0.8090909090909091, 0.79408795962509, 0.8450404427415921, 0.5159322033898305, 0.5654290931223371, 0.408130081300813, 0.4534904167399332, 0.4957983193277311]
  mean: 0.6791881216, std: 0.1436124129
Accuracy Intime: [0.7941176470588235, 0.6764705882352942, 0.7941176470588235, 0.9117647058823529, 0.90625, 0.7941176470588235, 0.8235294117647058, 0.6764705882352942, 0.8823529411764706, 0.90625, 0.8235294117647058, 0.9705882352941176, 0.7647058823529411, 0.7941176470588235, 0.96875]
  mean: 0.8324754902, std: 0.0881736577
F1 In Time: [0.7925021795989537, 0.6693191865605659, 0.7850045167118338, 0.9098143236074271, 0.906158357771261, 0.7895667550839964, 0.8210526315789474, 0.6210739614994933, 0.8823529411764706, 0.906158357771261, 0.8229166666666667, 0.9705627705627706, 0.7424242424242424, 0.793939393939394, 0.9687194525904204]
  mean: 0.8254377158, std: 0.0976504516
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.7857142857142857, 0.7380952380952381, 0.8452380952380952, 0.8095238095238095, 0.7976190476190477, 0.5833333333333334, 0.75, 0.7738095238095238, 0.7023809523809523, 0.7142857142857143, 0.8690476190476191, 0.7738095238095238, 0.8571428571428571, 0.6309523809523809, 0.8928571428571429]
  mean: 0.7682539683, std: 0.0832614959
F1 Score: [0.7857142857142857, 0.7367521367521368, 0.8450404427415921, 0.8090909090909091, 0.7968994453136111, 0.5731087556265427, 0.7499645641389086, 0.7735206470838655, 0.701322713696487, 0.7128205128205127, 0.869029057406095, 0.7735206470838655, 0.8571428571428571, 0.615191369883257, 0.8928419560595322]
  mean: 0.7661306867, std: 0.0866585086
Accuracy Intime: [0.9411764705882353, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9375, 0.9411764705882353, 0.9411764705882353, 0.9705882352941176, 0.8235294117647058, 1.0, 0.9411764705882353, 0.8823529411764706, 0.9411764705882353, 0.7941176470588235, 1.0]
  mean: 0.9330882353, std: 0.0582725421
F1 In Time: [0.9409722222222222, 0.9116883116883117, 0.970357454228422, 1.0, 0.9375, 0.9403508771929825, 0.9411764705882353, 0.970357454228422, 0.8235294117647058, 1.0, 0.9411764705882353, 0.8823529411764706, 0.9411764705882353, 0.793939393939394, 1.0]
  mean: 0.9329718319, std: 0.0582737946
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.75, 0.8690476190476191, 0.6904761904761905, 0.8928571428571429, 0.8571428571428571, 0.8452380952380952, 0.8214285714285714, 0.6428571428571429, 0.6666666666666666, 0.8452380952380952, 0.7619047619047619, 0.6071428571428571, 0.6904761904761905, 0.5, 0.5595238095238095]
  mean: 0.7333333333, std: 0.1183152073
F1 Score: [0.7491110795050491, 0.869029057406095, 0.6888888888888889, 0.8928419560595322, 0.8571428571428571, 0.8452161587526577, 0.8214032600992204, 0.6377228292121909, 0.6597222222222223, 0.8441558441558441, 0.7551020408163265, 0.5809523809523809, 0.671875, 0.4699519230769231, 0.5301587301587302]
  mean: 0.7248849486, std: 0.1279518302
Accuracy Intime: [0.8235294117647058, 0.8823529411764706, 0.7058823529411765, 0.9117647058823529, 0.96875, 0.7352941176470589, 0.8235294117647058, 0.8823529411764706, 0.8529411764705882, 0.9375, 0.7647058823529411, 0.8823529411764706, 0.7647058823529411, 0.8235294117647058, 1.0]
  mean: 0.8506127451, std: 0.0823793798
F1 In Time: [0.8131868131868132, 0.880701754385965, 0.7048611111111112, 0.9110723626852659, 0.9687194525904204, 0.7332170880557978, 0.8229166666666667, 0.8819444444444444, 0.8528138528138528, 0.9372549019607843, 0.7509157509157509, 0.880701754385965, 0.7638888888888888, 0.8235294117647058, 1.0]
  mean: 0.8483816169, std: 0.0838799143
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.6190476190476191, 0.8809523809523809, 0.5952380952380952, 0.7738095238095238, 0.8214285714285714, 0.8095238095238095, 0.8333333333333334, 0.8571428571428571, 0.8452380952380952, 0.8571428571428571, 0.8214285714285714, 0.8809523809523809, 0.8809523809523809, 0.8571428571428571, 0.8809523809523809]
  mean: 0.8142857143, std: 0.0865916298
F1 Score: [0.5543766578249337, 0.8792409430707303, 0.5265251989389921, 0.761613144137416, 0.8155467720685112, 0.8085470085470086, 0.8332387975042541, 0.8568181818181818, 0.8441558441558441, 0.8570618264322178, 0.8170466095542326, 0.8806818181818181, 0.8809523809523809, 0.8568181818181818, 0.8808848553601816]
  mean: 0.8035672147, std: 0.1082154823
Accuracy Intime: [0.8823529411764706, 0.9117647058823529, 0.8235294117647058, 0.8529411764705882, 0.90625, 0.8823529411764706, 0.9411764705882353, 0.8529411764705882, 0.9117647058823529, 0.9375, 0.9117647058823529, 1.0, 0.7941176470588235, 0.8823529411764706, 0.9375]
  mean: 0.8952205882, std: 0.0496935897
F1 In Time: [0.8819444444444444, 0.9116883116883117, 0.8229166666666667, 0.85178727114211, 0.9054187192118226, 0.8819444444444444, 0.9411764705882353, 0.8528138528138528, 0.9116883116883117, 0.9372549019607843, 0.9116883116883117, 1.0, 0.793939393939394, 0.8823529411764706, 0.9372549019607843]
  mean: 0.8949245962, std: 0.0498192003
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.6785714285714286, 0.7023809523809523, 0.7261904761904762, 0.75, 0.7738095238095238, 0.7619047619047619, 0.7380952380952381, 0.7380952380952381, 0.7857142857142857, 0.7857142857142857, 0.6190476190476191, 0.5714285714285714, 0.6428571428571429, 0.6309523809523809, 0.6666666666666666]
  mean: 0.7047619048, std: 0.0645057961
F1 Score: [0.6748387096774193, 0.6989247311827957, 0.7258407833120477, 0.7438652533759256, 0.7730052624093302, 0.7551020408163265, 0.7379466817923993, 0.7367521367521368, 0.7837528604118993, 0.78125, 0.5909920876445527, 0.5333333333333333, 0.6050156739811913, 0.6010418262601501, 0.6421180766889836]
  mean: 0.6922519638, std: 0.0769952431
Accuracy Intime: [0.7352941176470589, 0.6764705882352942, 0.7941176470588235, 0.6470588235294118, 0.84375, 0.6470588235294118, 0.7352941176470589, 0.5294117647058824, 0.7941176470588235, 0.8125, 0.7647058823529411, 0.8235294117647058, 0.7352941176470589, 0.8235294117647058, 0.8125]
  mean: 0.7449754902, std: 0.0844801069
F1 In Time: [0.7153488372093023, 0.6621499548328816, 0.793939393939394, 0.6136363636363636, 0.8435972629521017, 0.6421052631578947, 0.7332170880557978, 0.5228070175438597, 0.793939393939394, 0.8056680161943319, 0.7571428571428571, 0.8178571428571428, 0.7235772357723578, 0.8229166666666667, 0.8095238095238095]
  mean: 0.7371617536, std: 0.0888875969
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.7793650793650794, 0.7746031746031744, 0.6404761904761904, 0.7182539682539681, 0.6396825396825396, 0.700793650793651, 0.7190476190476189, 0.842063492063492, 0.5801587301587301, 0.7087301587301588, 0.7682539682539683, 0.7333333333333333, 0.8142857142857144, 0.7047619047619046]
f1_score_list: [0.7780096359740677, 0.7699068084897128, 0.6180134052437102, 0.7143483062211061, 0.6276609085809269, 0.692642525651087, 0.704216888662701, 0.8396395161488629, 0.5372065294938106, 0.6791881216357716, 0.7661306867036307, 0.7248849485632612, 0.8035672146909925, 0.692251963842566]
accuracy_intime_list: [0.8220588235294118, 0.86421568627451, 0.7971813725490197, 0.828921568627451, 0.8334558823529413, 0.7919117647058821, 0.793014705882353, 0.9095588235294119, 0.9017156862745098, 0.8324754901960786, 0.9330882352941178, 0.8506127450980394, 0.8952205882352942, 0.7449754901960784]
f1_in_time_list: [0.8186278656795735, 0.8608753299386858, 0.7921164474330221, 0.8268793941004033, 0.8303144578323036, 0.7861664620364868, 0.787068437101986, 0.9088470953072834, 0.8990308771377131, 0.8254377158362468, 0.9329718318803759, 0.8483816169237621, 0.8949245962275965, 0.7371617535616104]
**************************************************
Mean Accuracy: 0.7231292517
Mean F1: 0.7105476757
Std Accuracy: 0.0685183518
Std F1: 0.0773951928
Mean Accuracy (Intime): 0.8427433473
Std Accuracy (Intime): 0.0513273145
Mean F1 (Intime): 0.8392002772
Std F1 (Intime): 0.0533755193
ACC: 72.31±6.85
F1: 71.05±7.74
Intime: 84.27±5.13
F1 (Intime): 83.92±5.34
