Learning Rate: 1e-05

Subject Number: 1
Accuracy Cross: [0.7380952380952381, 0.6904761904761905, 0.7023809523809523, 0.7976190476190477, 0.7023809523809523, 0.8690476190476191, 0.8809523809523809, 0.8809523809523809, 0.7619047619047619, 0.6785714285714286, 0.8452380952380952, 0.7142857142857143, 0.7857142857142857, 0.6428571428571429, 0.7738095238095238]
  mean: 0.7642857143, std: 0.0751918685
F1 Score: [0.7223557692307692, 0.6676810712111991, 0.6925779534475187, 0.7968994453136111, 0.6950776825903877, 0.8685819940264543, 0.879862700228833, 0.8803418803418803, 0.7613636363636364, 0.6785258681785967, 0.8450404427415921, 0.7101782633697526, 0.7795918367346939, 0.6420454545454546, 0.7735206470838655]
  mean: 0.7595763097, std: 0.0781163969
Accuracy Intime: [0.7647058823529411, 0.7647058823529411, 0.7647058823529411, 0.7647058823529411, 0.8125, 0.7058823529411765, 0.7941176470588235, 0.8529411764705882, 0.7647058823529411, 0.78125, 0.9411764705882353, 0.9411764705882353, 0.7352941176470589, 0.7058823529411765, 0.75]
  mean: 0.7895833333, std: 0.0693833112
F1 In Time: [0.7614035087719297, 0.7614035087719297, 0.7647058823529411, 0.7614035087719297, 0.8125, 0.7058823529411765, 0.7925021795989537, 0.85178727114211, 0.7638888888888888, 0.7757757757757757, 0.9403508771929825, 0.9409722222222222, 0.7294429708222812, 0.7048611111111112, 0.746031746031746]
  mean: 0.7875274536, std: 0.0700182989
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.8452380952380952, 0.7261904761904762, 0.7857142857142857, 0.6785714285714286, 0.75, 0.8690476190476191, 0.9404761904761905, 0.9285714285714286, 0.7261904761904762, 0.9166666666666666, 0.9285714285714286, 0.75, 0.8095238095238095, 0.8809523809523809, 0.7857142857142857]
  mean: 0.8214285714, std: 0.0832766247
F1 Score: [0.8425378514780101, 0.7079365079365079, 0.7795918367346939, 0.6525203002910984, 0.7365197908887229, 0.8681318681318682, 0.9402645427392974, 0.9282051282051282, 0.7079365079365079, 0.916083916083916, 0.9285714285714286, 0.7438652533759256, 0.8085470085470086, 0.8808848553601816, 0.7826336975273145]
  mean: 0.8149486996, std: 0.0903446088
Accuracy Intime: [0.8529411764705882, 0.9705882352941176, 0.9411764705882353, 0.8235294117647058, 0.8125, 0.8235294117647058, 0.9117647058823529, 0.9705882352941176, 0.7941176470588235, 0.8125, 0.8823529411764706, 0.8529411764705882, 0.8529411764705882, 0.9117647058823529, 0.875]
  mean: 0.8725490196, std: 0.0556377948
F1 In Time: [0.8496905393457117, 0.9705627705627706, 0.9409722222222222, 0.8229166666666667, 0.8095238095238095, 0.8229166666666667, 0.9110723626852659, 0.970357454228422, 0.7925021795989537, 0.8117647058823529, 0.8819444444444444, 0.8496905393457117, 0.8528138528138528, 0.9116883116883117, 0.8745098039215686]
  mean: 0.8715284220, std: 0.0562037904
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.8333333333333334, 0.7738095238095238, 0.6309523809523809, 0.8214285714285714, 0.6904761904761905, 0.6785714285714286, 0.75, 0.7261904761904762, 0.8095238095238095, 0.5119047619047619, 0.8452380952380952, 0.6785714285714286, 0.6071428571428571, 0.6904761904761905, 0.5595238095238095]
  mean: 0.7071428571, std: 0.0976674290
F1 Score: [0.8333333333333334, 0.7711827956989248, 0.595086300730835, 0.8207936282178923, 0.6676810712111991, 0.6648440963499335, 0.7482517482517483, 0.725216896600768, 0.8085470085470086, 0.4958278436539306, 0.8450404427415921, 0.6729632299927901, 0.5354449472096531, 0.662962962962963, 0.5518385003604902]
  mean: 0.6932676537, std: 0.1091316748
Accuracy Intime: [0.7352941176470589, 0.6764705882352942, 0.7647058823529411, 0.8235294117647058, 0.8125, 0.8823529411764706, 0.7941176470588235, 0.6764705882352942, 0.8235294117647058, 0.84375, 0.9705882352941176, 0.9705882352941176, 0.8823529411764706, 0.9411764705882353, 0.9375]
  mean: 0.8356617647, std: 0.0933413334
F1 In Time: [0.7294429708222812, 0.6761904761904762, 0.7571428571428571, 0.8210526315789474, 0.8117647058823529, 0.8823529411764706, 0.793939393939394, 0.6761904761904762, 0.8210526315789474, 0.8435972629521017, 0.970357454228422, 0.9705627705627706, 0.880701754385965, 0.9403508771929825, 0.9372549019607843]
  mean: 0.8341302737, std: 0.0941301074
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.8452380952380952, 0.7857142857142857, 0.8333333333333334, 0.7738095238095238, 0.9047619047619048, 0.75, 0.8214285714285714, 0.8214285714285714, 0.8333333333333334, 0.7023809523809523, 0.7738095238095238, 0.7738095238095238, 0.8214285714285714, 0.6071428571428571, 0.8095238095238095]
  mean: 0.7904761905, std: 0.0667516465
F1 Score: [0.8452161587526577, 0.7852272727272727, 0.8285714285714285, 0.7682590387686947, 0.9045454545454545, 0.7482517482517483, 0.8212005108556832, 0.8207936282178923, 0.8309373202990225, 0.7002997002997002, 0.7735206470838655, 0.7737774627923459, 0.8183129055515501, 0.6002883922134102, 0.8085470085470086]
  mean: 0.7885165785, std: 0.0679103186
Accuracy Intime: [0.8823529411764706, 0.9117647058823529, 0.8529411764705882, 0.7647058823529411, 0.84375, 0.8529411764705882, 0.8529411764705882, 0.8823529411764706, 0.7352941176470589, 0.5, 0.7352941176470589, 0.8823529411764706, 0.8529411764705882, 0.7058823529411765, 0.90625]
  mean: 0.8107843137, std: 0.1045576572
F1 In Time: [0.880701754385965, 0.9116883116883117, 0.8464317976513098, 0.7614035087719297, 0.8423645320197044, 0.8528138528138528, 0.85178727114211, 0.8819444444444444, 0.7153488372093023, 0.4920634920634921, 0.7332170880557978, 0.8785714285714286, 0.8528138528138528, 0.7017543859649122, 0.9054187192118226]
  mean: 0.8072215518, std: 0.1070856387
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.5833333333333334, 0.5238095238095238, 0.6904761904761905, 0.7023809523809523, 0.6309523809523809, 0.7023809523809523, 0.8095238095238095, 0.6071428571428571, 0.7380952380952381, 0.4880952380952381, 0.7738095238095238, 0.6785714285714286, 0.7380952380952381, 0.7380952380952381, 0.6071428571428571]
  mean: 0.6674603175, std: 0.0887115578
F1 Score: [0.578494623655914, 0.5169637722829212, 0.671875, 0.7020008514261388, 0.6218963264120807, 0.6950776825903877, 0.8085470085470086, 0.6025806451612903, 0.7379466817923993, 0.48627506755795763, 0.7663592446201142, 0.6785258681785967, 0.7306122448979592, 0.7356979405034325, 0.5753025892446759]
  mean: 0.6605437031, std: 0.0904986646
Accuracy Intime: [0.6470588235294118, 0.8823529411764706, 0.6470588235294118, 0.8235294117647058, 0.8125, 0.7352941176470589, 0.7352941176470589, 0.4117647058823529, 0.5882352941176471, 0.53125, 0.8823529411764706, 0.8823529411764706, 0.7647058823529411, 0.6176470588235294, 0.84375]
  mean: 0.7203431373, std: 0.1378992883
F1 In Time: [0.6357142857142857, 0.8819444444444444, 0.6421052631578947, 0.8210526315789474, 0.8125, 0.7350649350649351, 0.7350649350649351, 0.40350877192982454, 0.5824561403508772, 0.530791788856305, 0.8819444444444444, 0.8819444444444444, 0.7638888888888888, 0.6173160173160173, 0.8435972629521017]
  mean: 0.7179262836, std: 0.1399138405
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.6904761904761905, 0.8095238095238095, 0.6547619047619048, 0.6190476190476191, 0.7380952380952381, 0.7738095238095238, 0.8333333333333334, 0.6071428571428571, 0.75, 0.44047619047619047, 0.47619047619047616, 0.44047619047619047, 0.6428571428571429, 0.5952380952380952, 0.5476190476190477]
  mean: 0.6412698413, std: 0.1230184332
F1 Score: [0.662962962962963, 0.8090909090909091, 0.6317460317460317, 0.6007130124777184, 0.7254901960784313, 0.761613144137416, 0.8309373202990225, 0.6057459820793628, 0.7456380677721701, 0.4103061986557132, 0.47619047619047616, 0.39512793013635666, 0.6213942307692308, 0.5446428571428571, 0.4589830508474576]
  mean: 0.6187054914, std: 0.1357886459
Accuracy Intime: [0.7352941176470589, 0.7058823529411765, 0.7647058823529411, 0.7058823529411765, 0.6875, 0.7058823529411765, 0.7352941176470589, 0.6176470588235294, 0.7352941176470589, 0.6875, 0.7941176470588235, 0.7352941176470589, 0.8529411764705882, 0.8235294117647058, 0.90625]
  mean: 0.7462009804, std: 0.0704261398
F1 In Time: [0.7332170880557978, 0.7017543859649122, 0.7638888888888888, 0.7017543859649122, 0.6761133603238867, 0.7017543859649122, 0.7235772357723578, 0.6146469049694856, 0.7350649350649351, 0.6825396825396826, 0.7925021795989537, 0.7332170880557978, 0.8528138528138528, 0.8210526315789474, 0.9054187192118226]
  mean: 0.7426210483, std: 0.0719975947
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.5833333333333334, 0.6309523809523809, 0.6428571428571429, 0.6190476190476191, 0.6190476190476191, 0.5595238095238095, 0.5, 0.5595238095238095, 0.6190476190476191, 0.7738095238095238, 0.6190476190476191, 0.5714285714285714, 0.7857142857142857, 0.6904761904761905, 0.6190476190476191]
  mean: 0.6261904762, std: 0.0737454919
F1 Score: [0.5804195804195804, 0.6309000708717222, 0.6326530612244898, 0.6081632653061224, 0.6190476190476191, 0.5238241152137275, 0.47593582887700536, 0.4900738310090238, 0.5961538461538461, 0.7730052624093302, 0.6155606407322655, 0.5625, 0.7837528604118993, 0.690300623936472, 0.6135710178263369]
  mean: 0.6130574416, std: 0.0845586035
Accuracy Intime: [0.6176470588235294, 0.47058823529411764, 0.7058823529411765, 0.5882352941176471, 0.71875, 0.5, 0.5882352941176471, 0.6764705882352942, 0.5882352941176471, 0.6875, 0.5588235294117647, 0.5588235294117647, 0.7647058823529411, 0.7058823529411765, 0.84375]
  mean: 0.6382352941, std: 0.0984905359
F1 In Time: [0.6007226738934056, 0.4631578947368421, 0.7017543859649122, 0.5868055555555556, 0.716256157635468, 0.48894783377541995, 0.5641025641025641, 0.652093023255814, 0.575, 0.6666666666666667, 0.5553618134263296, 0.5584415584415584, 0.7638888888888888, 0.6964285714285714, 0.8423645320197044]
  mean: 0.6287994747, std: 0.1001170292
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9404761904761905, 0.9166666666666666, 0.9404761904761905, 0.9047619047619048, 0.8690476190476191, 0.9166666666666666, 0.9642857142857143, 0.9285714285714286, 0.8928571428571429, 0.9523809523809523, 0.9047619047619048, 0.8809523809523809, 0.8333333333333334, 0.8809523809523809, 0.8928571428571429]
  mean: 0.9079365079, std: 0.0335217652
F1 Score: [0.9404677533664068, 0.9165602383993188, 0.9404001702852277, 0.9042735042735043, 0.8675268817204301, 0.916083916083916, 0.9642401021711366, 0.928409090909091, 0.89272030651341, 0.9522727272727273, 0.9045454545454545, 0.8792409430707303, 0.8298611111111112, 0.8806818181818181, 0.8928419560595322]
  mean: 0.9073417316, std: 0.0342362282
Accuracy Intime: [0.9411764705882353, 0.9411764705882353, 0.9705882352941176, 1.0, 0.96875, 0.9705882352941176, 0.9705882352941176, 0.9117647058823529, 0.9117647058823529, 1.0, 1.0, 0.8823529411764706, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9626225490, std: 0.0363435849
F1 In Time: [0.9411764705882353, 0.9409722222222222, 0.9705627705627706, 1.0, 0.9687194525904204, 0.9705627705627706, 0.9705627705627706, 0.9116883116883117, 0.9116883116883117, 1.0, 1.0, 0.880701754385965, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9624798404, std: 0.0366084735
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.9880952380952381, 0.8214285714285714, 0.9285714285714286, 0.7857142857142857, 0.8333333333333334, 0.75, 0.9047619047619048, 0.8571428571428571, 0.7738095238095238, 0.7380952380952381, 0.6666666666666666, 0.6190476190476191, 0.5714285714285714, 0.7261904761904762, 0.8214285714285714]
  mean: 0.7857142857, std: 0.1097134314
F1 Score: [0.9880935506732813, 0.8170466095542326, 0.9282051282051282, 0.7776470588235294, 0.8298611111111112, 0.7438652533759256, 0.9045454545454545, 0.8558352402745995, 0.7722277722277722, 0.7343300747556067, 0.6506238859180036, 0.5786833855799374, 0.5333333333333333, 0.7171717171717171, 0.8183129055515501]
  mean: 0.7766521654, std: 0.1203340854
Accuracy Intime: [0.7941176470588235, 0.7941176470588235, 0.9411764705882353, 0.8823529411764706, 0.78125, 0.8529411764705882, 0.9117647058823529, 0.9411764705882353, 0.9411764705882353, 0.875, 0.9117647058823529, 0.9117647058823529, 0.9705882352941176, 1.0, 0.9375]
  mean: 0.8964460784, std: 0.0639665971
F1 In Time: [0.7925021795989537, 0.7895667550839964, 0.9409722222222222, 0.8819444444444444, 0.7793103448275862, 0.85178727114211, 0.9116883116883117, 0.9403508771929825, 0.9411764705882353, 0.8745098039215686, 0.9116883116883117, 0.9116883116883117, 0.970357454228422, 1.0, 0.9375]
  mean: 0.8956695172, std: 0.0648613338
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.6309523809523809, 0.6666666666666666, 0.75, 0.7619047619047619, 0.6666666666666666, 0.7738095238095238, 0.8571428571428571, 0.75, 0.7142857142857143, 0.7142857142857143, 0.7619047619047619, 0.6309523809523809, 0.7857142857142857, 0.8095238095238095, 0.5714285714285714]
  mean: 0.7230158730, std: 0.0743409780
F1 Score: [0.5727645611156686, 0.6421180766889836, 0.7417654808959157, 0.750445632798574, 0.6370370370370371, 0.7730052624093302, 0.8570618264322178, 0.7438652533759256, 0.703529411764706, 0.7136363636363636, 0.7569444444444444, 0.5810136765888978, 0.7776470588235294, 0.8085470085470086, 0.475]
  mean: 0.7022920730, std: 0.0985466079
Accuracy Intime: [0.8235294117647058, 0.7058823529411765, 0.8529411764705882, 0.9117647058823529, 0.875, 0.6764705882352942, 0.8823529411764706, 0.7352941176470589, 0.8823529411764706, 0.84375, 1.0, 0.8823529411764706, 0.8529411764705882, 0.9117647058823529, 0.96875]
  mean: 0.8536764706, std: 0.0866373900
F1 In Time: [0.8229166666666667, 0.6964285714285714, 0.85178727114211, 0.9110723626852659, 0.8745098039215686, 0.6761904761904762, 0.8823529411764706, 0.7350649350649351, 0.8819444444444444, 0.8423645320197044, 1.0, 0.8823529411764706, 0.8496905393457117, 0.9110723626852659, 0.9687194525904204]
  mean: 0.8524311534, std: 0.0877416747
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.8333333333333334, 0.8452380952380952, 0.8809523809523809, 0.8214285714285714, 0.8690476190476191, 0.9047619047619048, 0.9166666666666666, 0.8452380952380952, 0.9404761904761905, 0.8928571428571429, 0.9523809523809523, 0.8452380952380952, 0.9166666666666666, 0.8452380952380952, 0.7857142857142857]
  mean: 0.8730158730, std: 0.0455226362
F1 Score: [0.8285714285714285, 0.8425378514780101, 0.879862700228833, 0.8193548387096774, 0.8675268817204301, 0.9038901601830663, 0.9163703598350164, 0.8414403949470016, 0.9402645427392974, 0.8921078921078921, 0.9522727272727273, 0.8452161587526577, 0.9165602383993188, 0.8450404427415921, 0.7837528604118993]
  mean: 0.8716512985, std: 0.0463685452
Accuracy Intime: [0.9117647058823529, 0.9705882352941176, 1.0, 1.0, 0.9375, 0.8823529411764706, 0.8823529411764706, 0.8823529411764706, 0.9411764705882353, 1.0, 0.9411764705882353, 0.8235294117647058, 0.9117647058823529, 0.8823529411764706, 1.0]
  mean: 0.9311274510, std: 0.0533019209
F1 In Time: [0.9110723626852659, 0.9705627705627706, 1.0, 1.0, 0.9372549019607843, 0.880701754385965, 0.8819444444444444, 0.8819444444444444, 0.9409722222222222, 1.0, 0.9409722222222222, 0.8178571428571428, 0.9116883116883117, 0.8819444444444444, 1.0]
  mean: 0.9304610015, std: 0.0542607799
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.8452380952380952, 0.6904761904761905, 0.8333333333333334, 0.8333333333333334, 0.8571428571428571, 0.75, 0.6666666666666666, 0.6547619047619048, 0.5714285714285714, 0.30952380952380953, 0.8333333333333334, 0.7738095238095238, 0.6428571428571429, 0.8214285714285714, 0.7976190476190477]
  mean: 0.7253968254, std: 0.1407561554
F1 Score: [0.8414403949470016, 0.6676810712111991, 0.8333333333333334, 0.8298611111111112, 0.8558352402745995, 0.7438652533759256, 0.6506238859180036, 0.6400177331165953, 0.5087719298245614, 0.3091321610890527, 0.8298611111111112, 0.7682590387686947, 0.5982142857142857, 0.8170466095542326, 0.7889759125166248]
  mean: 0.7121946048, std: 0.1479981114
Accuracy Intime: [0.9411764705882353, 0.9117647058823529, 0.7647058823529411, 0.9117647058823529, 0.84375, 0.8823529411764706, 0.8529411764705882, 0.8823529411764706, 0.9117647058823529, 0.375, 1.0, 0.9705882352941176, 0.8823529411764706, 0.8235294117647058, 0.96875]
  mean: 0.8615196078, std: 0.1427582992
F1 In Time: [0.9411764705882353, 0.9116883116883117, 0.7647058823529411, 0.9116883116883117, 0.8398398398398399, 0.8823529411764706, 0.8528138528138528, 0.8823529411764706, 0.9116883116883117, 0.3522267206477733, 1.0, 0.9705627705627706, 0.880701754385965, 0.8229166666666667, 0.9687194525904204]
  mean: 0.8595622819, std: 0.1479688311
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.5476190476190477, 0.5833333333333334, 0.7976190476190477, 0.6428571428571429, 0.7976190476190477, 0.7619047619047619, 0.8214285714285714, 0.75, 0.7857142857142857, 0.8333333333333334, 0.9285714285714286, 0.9404761904761905, 0.8095238095238095, 0.8452380952380952, 0.9523809523809523]
  mean: 0.7865079365, std: 0.1154591435
F1 Score: [0.4708222811671088, 0.5176374077112387, 0.7962037962037962, 0.6294117647058823, 0.7926528241614637, 0.761769710720363, 0.8183129055515501, 0.7470967741935484, 0.7852272727272727, 0.8324786324786324, 0.9285309132161089, 0.9404677533664068, 0.8085470085470086, 0.8441558441558441, 0.9523539421440725]
  mean: 0.7750445887, std: 0.1354667036
Accuracy Intime: [0.8823529411764706, 0.8823529411764706, 0.7647058823529411, 0.6764705882352942, 0.84375, 0.8529411764705882, 0.8529411764705882, 0.8529411764705882, 0.7058823529411765, 0.90625, 0.9411764705882353, 0.9117647058823529, 0.8529411764705882, 0.7941176470588235, 0.9375]
  mean: 0.8438725490, std: 0.0756450141
F1 In Time: [0.8819444444444444, 0.8823529411764706, 0.7647058823529411, 0.6739319965126417, 0.8398398398398399, 0.8528138528138528, 0.85178727114211, 0.8528138528138528, 0.7058823529411765, 0.906158357771261, 0.9411764705882353, 0.9116883116883117, 0.85178727114211, 0.7895667550839964, 0.9372549019607843]
  mean: 0.8429136335, std: 0.0761674654
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.6428571428571429, 0.75, 0.7976190476190477, 0.7261904761904762, 0.6904761904761905, 0.8452380952380952, 0.7380952380952381, 0.7976190476190477, 0.8809523809523809, 0.8333333333333334, 0.5952380952380952, 0.5714285714285714, 0.5952380952380952, 0.5238095238095238, 0.4880952380952381]
  mean: 0.6984126984, std: 0.1191798208
F1 Score: [0.6050156739811913, 0.7491110795050491, 0.7909530083443127, 0.7171717171717171, 0.6576802507836991, 0.8441558441558441, 0.7282352941176471, 0.79408795962509, 0.8803418803418803, 0.8318077803203661, 0.5446428571428571, 0.5087719298245614, 0.5446428571428571, 0.41666666666666663, 0.40738310090237906]
  mean: 0.6680445267, std: 0.1500098595
Accuracy Intime: [0.7941176470588235, 0.7941176470588235, 0.7058823529411765, 0.7352941176470589, 0.78125, 0.7058823529411765, 0.5588235294117647, 0.7058823529411765, 0.8235294117647058, 0.875, 0.9117647058823529, 0.7941176470588235, 0.8235294117647058, 0.9705882352941176, 0.71875]
  mean: 0.7799019608, std: 0.0960032156
F1 In Time: [0.7925021795989537, 0.7925021795989537, 0.7058823529411765, 0.7350649350649351, 0.7810361681329423, 0.7058823529411765, 0.5490716180371353, 0.7048611111111112, 0.8235294117647058, 0.8745098039215686, 0.9116883116883117, 0.7895667550839964, 0.8178571428571428, 0.9705627705627706, 0.716256157635468]
  mean: 0.7780515501, std: 0.0974020446
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.7642857142857142, 0.8214285714285715, 0.7071428571428572, 0.7904761904761906, 0.6674603174603175, 0.6412698412698412, 0.6261904761904762, 0.907936507936508, 0.7857142857142855, 0.7230158730158731, 0.873015873015873, 0.7253968253968253, 0.7865079365079365, 0.6984126984126983]
f1_score_list: [0.7595763096938831, 0.814948699587174, 0.6932676537242041, 0.7885165784985159, 0.6605437031247251, 0.6187054913590745, 0.6130574415626293, 0.9073417315975878, 0.7766521654067456, 0.7022920729705735, 0.8716512985399233, 0.7121946047910889, 0.7750445887366866, 0.668044526668408]
accuracy_intime_list: [0.7895833333333332, 0.8725490196078433, 0.8356617647058824, 0.8107843137254901, 0.720343137254902, 0.7462009803921569, 0.638235294117647, 0.9626225490196079, 0.8964460784313726, 0.8536764705882354, 0.9311274509803923, 0.8615196078431373, 0.843872549019608, 0.7799019607843137]
f1_in_time_list: [0.7875274536263984, 0.8715284219731155, 0.8341302737190153, 0.8072215517872157, 0.7179262836138899, 0.742621048317943, 0.6287994746527801, 0.9624798403609699, 0.8956695172210305, 0.8524311533692056, 0.9304610014612013, 0.859562281857756, 0.8429136334848019, 0.7780515500626899]
**************************************************
Mean Accuracy: 0.7513038549
Mean F1: 0.7401312047
Std Accuracy: 0.0799111639
Std F1: 0.0857561264
Mean Accuracy (Intime): 0.8244660364
Std Accuracy (Intime): 0.0826887402
Mean F1 (Intime): 0.8222373918
Std F1 (Intime): 0.0845561420
ACC: 75.13±7.99
F1: 74.01±8.58
Intime: 82.45±8.27
F1 (Intime): 82.22±8.46
