Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.9761904761904762, 0.8333333333333334, 0.9404761904761905, 0.8809523809523809, 0.9404761904761905, 0.9166666666666666, 0.9404761904761905, 0.9047619047619048, 0.9761904761904762, 0.9404761904761905, 0.7857142857142857, 0.7142857142857143, 0.8095238095238095, 0.7976190476190477, 0.5952380952380952]
  mean: 0.8634920635, std: 0.1040439564
F1 Score: [0.9761769710720363, 0.8298611111111112, 0.9402645427392974, 0.8808848553601816, 0.9404001702852277, 0.9166548547129695, 0.9404001702852277, 0.9038901601830663, 0.9761769710720363, 0.9402645427392974, 0.7776470588235294, 0.7061224489795919, 0.8077803203661327, 0.7975903614457831, 0.5265251989389921]
  mean: 0.8573759825, std: 0.1176073469
Accuracy Intime: [0.9117647058823529, 0.9411764705882353, 0.9117647058823529, 0.9705882352941176, 0.96875, 0.8529411764705882, 0.9705882352941176, 0.8823529411764706, 0.9117647058823529, 0.9375, 1.0, 1.0, 0.9117647058823529, 0.9705882352941176, 0.96875]
  mean: 0.9406862745, std: 0.0414342567
F1 In Time: [0.9110723626852659, 0.9403508771929825, 0.9110723626852659, 0.970357454228422, 0.9687194525904204, 0.85178727114211, 0.9705627705627706, 0.8819444444444444, 0.9098143236074271, 0.9372549019607843, 1.0, 1.0, 0.9116883116883117, 0.970357454228422, 0.9687194525904204]
  mean: 0.9402467626, std: 0.0417706982
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.9285714285714286, 0.9880952380952381, 0.9523809523809523, 0.9642857142857143, 0.8928571428571429, 0.9523809523809523, 0.9523809523809523, 0.9642857142857143, 0.9404761904761905, 0.9285714285714286, 0.7857142857142857, 0.9166666666666666, 0.9166666666666666, 0.9761904761904762, 0.8809523809523809]
  mean: 0.9293650794, std: 0.0479091691
F1 Score: [0.9285714285714286, 0.9880935506732813, 0.9523539421440725, 0.9642401021711366, 0.8916129032258064, 0.9522727272727273, 0.9523539421440725, 0.9642806520198441, 0.9404677533664068, 0.928409090909091, 0.7754010695187166, 0.9166548547129695, 0.9165602383993188, 0.9761904761904762, 0.8808848553601816]
  mean: 0.9285565058, std: 0.0500531363
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.9411764705882353, 0.9705882352941176, 0.9411764705882353, 0.9375, 1.0, 0.9411764705882353, 0.9411764705882353, 0.9705882352941176, 0.96875]
  mean: 0.9682598039, std: 0.0253868806
F1 In Time: [1.0, 1.0, 0.9705627705627706, 0.9409722222222222, 1.0, 1.0, 0.9409722222222222, 0.9705627705627706, 0.9409722222222222, 0.9375, 1.0, 0.9411764705882353, 0.9411764705882353, 0.9705627705627706, 0.9687194525904204]
  mean: 0.9682118248, std: 0.0254300396
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.5833333333333334, 0.7619047619047619, 0.6547619047619048, 0.7857142857142857, 0.7976190476190477, 0.5, 0.7619047619047619, 0.6071428571428571, 0.7142857142857143, 0.7738095238095238, 0.6428571428571429, 0.6071428571428571, 0.7619047619047619, 0.6071428571428571, 0.6190476190476191]
  mean: 0.6785714286, std: 0.0888747154
F1 Score: [0.5072900955253896, 0.7551020408163265, 0.6080450522928399, 0.7826336975273145, 0.79408795962509, 0.3333333333333333, 0.7597254004576659, 0.5975025410193118, 0.7116704805491991, 0.7722277722277722, 0.6050156739811913, 0.5354449472096531, 0.7619047619047619, 0.5452009844134537, 0.6135710178263369]
  mean: 0.6455170506, std: 0.1278070654
Accuracy Intime: [0.7352941176470589, 0.8529411764705882, 0.9117647058823529, 0.9411764705882353, 0.65625, 0.47058823529411764, 0.8529411764705882, 0.7647058823529411, 0.8823529411764706, 0.90625, 0.5882352941176471, 0.7352941176470589, 0.9411764705882353, 0.6470588235294118, 0.59375]
  mean: 0.7653186275, std: 0.1431915942
F1 In Time: [0.7350649350649351, 0.8528138528138528, 0.9116883116883117, 0.9409722222222222, 0.6101882613510521, 0.32, 0.85178727114211, 0.7638888888888888, 0.880701754385965, 0.9054187192118226, 0.5824561403508772, 0.7043478260869566, 0.9409722222222222, 0.6136363636363636, 0.5835835835835836]
  mean: 0.7465013568, std: 0.1717318367
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.5, 0.8214285714285714, 0.6309523809523809, 0.8214285714285714, 0.7380952380952381, 0.5, 0.8214285714285714, 0.7261904761904762, 0.5, 0.5952380952380952, 0.7976190476190477, 0.7380952380952381, 0.75, 0.7023809523809523, 0.6547619047619048]
  mean: 0.6865079365, std: 0.1139932324
F1 Score: [0.4269005847953216, 0.8207936282178923, 0.6010418262601501, 0.8212005108556832, 0.7379466817923993, 0.3333333333333333, 0.8201798201798203, 0.7258407833120477, 0.3333333333333333, 0.5592592592592593, 0.7962037962037962, 0.7380952380952381, 0.7470967741935484, 0.6989247311827957, 0.650752688172043]
  mean: 0.6540601993, std: 0.1638288547
Accuracy Intime: [0.5294117647058824, 0.8823529411764706, 0.7941176470588235, 0.8235294117647058, 0.90625, 0.5294117647058824, 0.8823529411764706, 0.7941176470588235, 0.5294117647058824, 0.59375, 0.9411764705882353, 0.7647058823529411, 0.9117647058823529, 0.9411764705882353, 0.9375]
  mean: 0.7840686275, std: 0.1541355879
F1 In Time: [0.34615384615384615, 0.8819444444444444, 0.7925021795989537, 0.8229166666666667, 0.906158357771261, 0.34615384615384615, 0.880701754385965, 0.793939393939394, 0.34615384615384615, 0.5835835835835836, 0.9411764705882353, 0.7614035087719297, 0.9110723626852659, 0.9403508771929825, 0.9372549019607843]
  mean: 0.7460977360, std: 0.2188749207
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.7738095238095238, 0.7738095238095238, 0.5833333333333334, 0.6785714285714286, 0.7261904761904762, 0.8452380952380952, 0.8214285714285714, 0.7619047619047619, 0.7142857142857143, 0.8333333333333334, 0.7857142857142857, 0.8690476190476191, 0.8095238095238095, 0.8095238095238095, 0.8452380952380952]
  mean: 0.7753968254, std: 0.0725919370
F1 Score: [0.7711827956989248, 0.7711827956989248, 0.5176374077112387, 0.6571428571428571, 0.7171717171717171, 0.8450404427415921, 0.8201798201798203, 0.7551020408163265, 0.7141236528644356, 0.8324786324786324, 0.7826336975273145, 0.8688803746275011, 0.8067855089131685, 0.8055555555555556, 0.8441558441558441]
  mean: 0.7672835429, std: 0.0866243721
Accuracy Intime: [0.6470588235294118, 0.8529411764705882, 0.9117647058823529, 0.8235294117647058, 0.96875, 0.8529411764705882, 0.8823529411764706, 0.8235294117647058, 0.7941176470588235, 0.84375, 0.8235294117647058, 0.9117647058823529, 0.8823529411764706, 0.8235294117647058, 0.8125]
  mean: 0.8436274510, std: 0.0691804141
F1 In Time: [0.5968379446640316, 0.85178727114211, 0.9110723626852659, 0.8131868131868132, 0.9687194525904204, 0.8496905393457117, 0.880701754385965, 0.8131868131868132, 0.793939393939394, 0.8435972629521017, 0.8178571428571428, 0.9116883116883117, 0.8819444444444444, 0.8235294117647058, 0.8095238095238095]
  mean: 0.8378175152, std: 0.0794678730
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.7261904761904762, 0.8333333333333334, 0.8095238095238095, 0.7976190476190477, 0.7738095238095238, 0.7738095238095238, 0.6785714285714286, 0.6309523809523809, 0.7142857142857143, 0.7142857142857143, 0.8571428571428571, 0.8095238095238095, 0.7619047619047619, 0.8214285714285714, 0.8690476190476191]
  mean: 0.7714285714, std: 0.0652340400
F1 Score: [0.7079365079365079, 0.8333333333333334, 0.8077803203661327, 0.7926528241614637, 0.7641495492832866, 0.761613144137416, 0.6473332296687918, 0.5727645611156686, 0.6971153846153846, 0.6888888888888889, 0.8568181818181818, 0.8085470085470086, 0.7597254004576659, 0.8170466095542326, 0.86676279740447]
  mean: 0.7588311828, std: 0.0794071004
Accuracy Intime: [0.8823529411764706, 0.9411764705882353, 1.0, 0.8823529411764706, 0.71875, 0.9705882352941176, 0.8529411764705882, 0.7647058823529411, 0.8823529411764706, 0.90625, 0.6764705882352942, 0.9705882352941176, 0.7941176470588235, 0.8823529411764706, 0.5]
  mean: 0.8416666667, std: 0.1281798306
F1 In Time: [0.880701754385965, 0.9403508771929825, 1.0, 0.8819444444444444, 0.7046153846153846, 0.9705627705627706, 0.8464317976513098, 0.7614035087719297, 0.8819444444444444, 0.9054187192118226, 0.6739319965126417, 0.9705627705627706, 0.7895667550839964, 0.8819444444444444, 0.3333333333333333]
  mean: 0.8281808667, std: 0.1612996013
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.7261904761904762, 0.5357142857142857, 0.7857142857142857, 0.7619047619047619, 0.6547619047619048, 0.8809523809523809, 0.9404761904761905, 0.9166666666666666, 0.8571428571428571, 0.8809523809523809, 0.9285714285714286, 0.7619047619047619, 0.5595238095238095, 0.8452380952380952, 0.7976190476190477]
  mean: 0.7888888889, std: 0.1221397372
F1 Score: [0.7214131218457102, 0.408130081300813, 0.7826336975273145, 0.7569444444444444, 0.6317460317460317, 0.8809523809523809, 0.9404677533664068, 0.9165602383993188, 0.8564102564102565, 0.8792409430707303, 0.928409090909091, 0.761769710720363, 0.5301587301587302, 0.8450404427415921, 0.7962037962037962]
  mean: 0.7757387147, std: 0.1468589737
Accuracy Intime: [0.8529411764705882, 0.8823529411764706, 0.8235294117647058, 0.9411764705882353, 0.96875, 0.6176470588235294, 0.9117647058823529, 0.8235294117647058, 0.9411764705882353, 0.875, 0.8235294117647058, 0.9117647058823529, 0.7647058823529411, 0.9411764705882353, 1.0]
  mean: 0.8719362745, std: 0.0920138322
F1 In Time: [0.8528138528138528, 0.8823529411764706, 0.8229166666666667, 0.9411764705882353, 0.9687194525904204, 0.5729468599033817, 0.9116883116883117, 0.8229166666666667, 0.9409722222222222, 0.8745098039215686, 0.8229166666666667, 0.9116883116883117, 0.7647058823529411, 0.9409722222222222, 1.0]
  mean: 0.8687530887, std: 0.1005599254
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.8214285714285714, 0.8333333333333334, 0.7976190476190477, 0.8571428571428571, 0.7857142857142857, 0.9047619047619048, 0.6785714285714286, 0.7261904761904762, 0.8571428571428571, 0.6785714285714286, 0.8809523809523809, 0.8095238095238095, 0.8928571428571429, 0.6309523809523809, 0.7142857142857143]
  mean: 0.7912698413, std: 0.0833748952
F1 Score: [0.8214032600992204, 0.8329545454545455, 0.7968994453136111, 0.8570618264322178, 0.7795918367346939, 0.9038901601830663, 0.6571428571428571, 0.7171717171717171, 0.8570618264322178, 0.6612397311426438, 0.8808848553601816, 0.8067855089131685, 0.8921078921078921, 0.5884305357989568, 0.7116704805491991]
  mean: 0.7842864319, std: 0.0929985101
Accuracy Intime: [0.8529411764705882, 0.9411764705882353, 0.8235294117647058, 0.9705882352941176, 0.9375, 0.8823529411764706, 0.9411764705882353, 0.9117647058823529, 0.8823529411764706, 0.90625, 0.8235294117647058, 0.7941176470588235, 0.8529411764705882, 0.9117647058823529, 0.78125]
  mean: 0.8808823529, std: 0.0557814815
F1 In Time: [0.85178727114211, 0.9411764705882353, 0.8178571428571428, 0.9705627705627706, 0.9375, 0.8819444444444444, 0.9411764705882353, 0.9116883116883117, 0.8819444444444444, 0.9054187192118226, 0.8210526315789474, 0.793939393939394, 0.85178727114211, 0.9110723626852659, 0.7702564102564102]
  mean: 0.8792776077, std: 0.0577275203
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.8214285714285714, 0.6071428571428571, 0.8928571428571429, 0.5119047619047619, 0.9285714285714286, 0.7976190476190477, 0.6785714285714286, 0.8809523809523809, 0.8571428571428571, 0.7738095238095238, 0.7738095238095238, 0.7380952380952381, 0.8095238095238095, 0.6071428571428571, 0.7976190476190477]
  mean: 0.7650793651, std: 0.1138937281
F1 Score: [0.8170466095542326, 0.5452009844134537, 0.8924761769307352, 0.37777777777777777, 0.9282051282051282, 0.7973605789697744, 0.6774285307922059, 0.8809523809523809, 0.8570618264322178, 0.7730052624093302, 0.7711827956989248, 0.7380952380952381, 0.8077803203661327, 0.5452009844134537, 0.7973605789697744]
  mean: 0.7470756783, std: 0.1464422133
Accuracy Intime: [1.0, 0.7647058823529411, 0.9117647058823529, 0.7058823529411765, 0.9375, 0.7058823529411765, 0.8823529411764706, 0.9705882352941176, 1.0, 0.875, 0.9411764705882353, 0.8235294117647058, 0.9411764705882353, 0.9117647058823529, 1.0]
  mean: 0.8914215686, std: 0.0964036363
F1 In Time: [1.0, 0.7424242424242424, 0.9116883116883117, 0.6886446886446886, 0.9372549019607843, 0.6964285714285714, 0.880701754385965, 0.9705627705627706, 1.0, 0.8745098039215686, 0.9409722222222222, 0.8229166666666667, 0.9403508771929825, 0.9098143236074271, 1.0]
  mean: 0.8877512756, std: 0.1018374337
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.8690476190476191, 0.8928571428571429, 0.7023809523809523, 0.7619047619047619, 0.6785714285714286, 0.8333333333333334, 0.6666666666666666, 0.7976190476190477, 0.8690476190476191, 0.8452380952380952, 0.5714285714285714, 0.6547619047619048, 0.6666666666666666, 0.6428571428571429, 0.6904761904761905]
  mean: 0.7428571429, std: 0.0978607152
F1 Score: [0.8685819940264543, 0.89272030651341, 0.6825396825396826, 0.7569444444444444, 0.6473332296687918, 0.8309373202990225, 0.6313479623824452, 0.7926528241614637, 0.8688803746275011, 0.8450404427415921, 0.4874576271186441, 0.6317460317460317, 0.6666666666666666, 0.6426545660805445, 0.6816326530612244]
  mean: 0.7284757417, std: 0.1138093971
Accuracy Intime: [0.9411764705882353, 0.8823529411764706, 0.8529411764705882, 0.9117647058823529, 0.875, 1.0, 0.9117647058823529, 0.8823529411764706, 0.8235294117647058, 0.78125, 0.9411764705882353, 0.9411764705882353, 0.9117647058823529, 0.9411764705882353, 0.9375]
  mean: 0.9023284314, std: 0.0528733339
F1 In Time: [0.9409722222222222, 0.8819444444444444, 0.85178727114211, 0.9116883116883117, 0.8745098039215686, 1.0, 0.9110723626852659, 0.880701754385965, 0.8229166666666667, 0.7793103448275862, 0.9409722222222222, 0.9411764705882353, 0.9098143236074271, 0.9411764705882353, 0.9372549019607843]
  mean: 0.9016865047, std: 0.0533102387
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.7857142857142857, 0.8928571428571429, 0.8214285714285714, 0.8214285714285714, 0.6785714285714286, 0.7380952380952381, 0.8928571428571429, 0.8690476190476191, 0.7023809523809523, 0.7976190476190477, 0.7261904761904762, 0.7738095238095238, 0.8690476190476191, 0.6547619047619048, 0.7857142857142857]
  mean: 0.7873015873, std: 0.0734973772
F1 Score: [0.7852272727272727, 0.89272030651341, 0.8170466095542326, 0.8214032600992204, 0.6763236763236764, 0.7223557692307692, 0.8928419560595322, 0.8675268817204301, 0.6782595373065727, 0.7889759125166248, 0.7114264376400299, 0.7641495492832866, 0.8685819940264543, 0.6080450522928399, 0.7795918367346939]
  mean: 0.7782984035, std: 0.0828826642
Accuracy Intime: [0.9117647058823529, 0.9411764705882353, 0.9705882352941176, 1.0, 0.875, 0.8235294117647058, 0.9411764705882353, 0.7941176470588235, 0.8529411764705882, 0.875, 0.9411764705882353, 0.9411764705882353, 0.7941176470588235, 0.7352941176470589, 0.9375]
  mean: 0.8889705882, std: 0.0731879326
F1 In Time: [0.9098143236074271, 0.9403508771929825, 0.970357454228422, 1.0, 0.875, 0.8235294117647058, 0.9411764705882353, 0.7895667550839964, 0.8496905393457117, 0.873015873015873, 0.9411764705882353, 0.9403508771929825, 0.7925021795989537, 0.7043478260869566, 0.9375]
  mean: 0.8858919372, std: 0.0782634707
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.6666666666666666, 0.7857142857142857, 0.6309523809523809, 0.7857142857142857, 0.5952380952380952, 0.7023809523809523, 0.6190476190476191, 0.6309523809523809, 0.7380952380952381, 0.8333333333333334, 0.5476190476190477, 0.6190476190476191, 0.6547619047619048, 0.5952380952380952, 0.6071428571428571]
  mean: 0.6674603175, std: 0.0806795902
F1 Score: [0.664957264957265, 0.7855927396483267, 0.6110530246452577, 0.78125, 0.5894192064404831, 0.6734566941377702, 0.6170940170940171, 0.6296401649836438, 0.7282352941176471, 0.8324786324786324, 0.5204326923076923, 0.6007130124777184, 0.653534347887925, 0.5523510971786834, 0.5452009844134537]
  mean: 0.6523606115, std: 0.0902416271
Accuracy Intime: [0.7941176470588235, 0.8823529411764706, 0.8529411764705882, 0.8529411764705882, 0.96875, 0.7352941176470589, 0.9705882352941176, 0.8529411764705882, 0.7058823529411765, 0.875, 0.9705882352941176, 0.9705882352941176, 0.9117647058823529, 0.7941176470588235, 0.96875]
  mean: 0.8737745098, std: 0.0852583667
F1 In Time: [0.7895667550839964, 0.8819444444444444, 0.8464317976513098, 0.8496905393457117, 0.9687194525904204, 0.7332170880557978, 0.9705627705627706, 0.8528138528138528, 0.7017543859649122, 0.875, 0.9705627705627706, 0.970357454228422, 0.9116883116883117, 0.7895667550839964, 0.9687194525904204]
  mean: 0.8720397220, std: 0.0867371748
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.6547619047619048, 0.7857142857142857, 0.8452380952380952, 0.6428571428571429, 0.8095238095238095, 0.6547619047619048, 0.7857142857142857, 0.6904761904761905, 0.6785714285714286, 0.7976190476190477, 0.7857142857142857, 0.7738095238095238, 0.6547619047619048, 0.8214285714285714, 0.7142857142857143]
  mean: 0.7396825397, std: 0.0689882978
F1 Score: [0.6212097651998134, 0.7776470588235294, 0.8425378514780101, 0.5906432748538011, 0.8023529411764705, 0.6462901118048496, 0.7846153846153847, 0.662962962962963, 0.6763236763236764, 0.7962037962037962, 0.7837528604118993, 0.761613144137416, 0.6212097651998134, 0.8214032600992204, 0.6971153846153846]
  mean: 0.7257254159, std: 0.0808536784
Accuracy Intime: [0.8235294117647058, 0.7647058823529411, 0.9411764705882353, 0.8823529411764706, 0.71875, 0.8235294117647058, 0.9117647058823529, 0.9705882352941176, 0.9117647058823529, 1.0, 0.9705882352941176, 0.8235294117647058, 0.8235294117647058, 0.9117647058823529, 0.84375]
  mean: 0.8747549020, std: 0.0776912459
F1 In Time: [0.8178571428571428, 0.7638888888888888, 0.9409722222222222, 0.8819444444444444, 0.694591728525981, 0.8210526315789474, 0.9116883116883117, 0.9705627705627706, 0.9116883116883117, 1.0, 0.9705627705627706, 0.8178571428571428, 0.8229166666666667, 0.9110723626852659, 0.8398398398398399]
  mean: 0.8717663490, std: 0.0818165194
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.8095238095238095, 0.7619047619047619, 0.75, 0.5952380952380952, 0.7380952380952381, 0.8690476190476191, 0.8809523809523809, 0.8809523809523809, 0.5357142857142857, 0.7738095238095238, 0.6547619047619048, 0.8452380952380952, 0.8214285714285714, 0.6428571428571429, 0.9047619047619048]
  mean: 0.7642857143, std: 0.1090396476
F1 Score: [0.8094157685762904, 0.7551020408163265, 0.7491110795050491, 0.5159322033898305, 0.7367521367521368, 0.86676279740447, 0.8806818181818181, 0.879862700228833, 0.42394935818533497, 0.7641495492832866, 0.6317460317460317, 0.8452161587526577, 0.8207936282178923, 0.5982142857142857, 0.9047078842881452]
  mean: 0.7454931627, std: 0.1384041783
Accuracy Intime: [0.8823529411764706, 0.8529411764705882, 0.7941176470588235, 0.8823529411764706, 0.9375, 0.9411764705882353, 0.7647058823529411, 0.7941176470588235, 0.6470588235294118, 0.6875, 0.6470588235294118, 0.7647058823529411, 0.9117647058823529, 0.7941176470588235, 0.96875]
  mean: 0.8180147059, std: 0.1011062834
F1 In Time: [0.880701754385965, 0.8464317976513098, 0.793939393939394, 0.8819444444444444, 0.9372549019607843, 0.9409722222222222, 0.7614035087719297, 0.7925021795989537, 0.6136363636363636, 0.6666666666666667, 0.6458333333333333, 0.7614035087719297, 0.9116883116883117, 0.7925021795989537, 0.9687194525904204]
  mean: 0.8130400013, std: 0.1070484776
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.8634920634920635, 0.9293650793650793, 0.6785714285714286, 0.6865079365079365, 0.7753968253968254, 0.7714285714285716, 0.7888888888888889, 0.7912698412698412, 0.7650793650793652, 0.7428571428571427, 0.7873015873015874, 0.6674603174603174, 0.7396825396825396, 0.7642857142857142]
f1_score_list: [0.8573759825409654, 0.9285565057786352, 0.6455170505806426, 0.6540601992791107, 0.7672835428855902, 0.7588311827525622, 0.7757387146531319, 0.7842864319224125, 0.747075678265384, 0.7284757417385279, 0.7782984034686031, 0.652360611517901, 0.725725415860402, 0.7454931627361592]
accuracy_intime_list: [0.940686274509804, 0.9682598039215686, 0.7653186274509803, 0.7840686274509803, 0.8436274509803923, 0.8416666666666668, 0.8719362745098042, 0.8808823529411766, 0.891421568627451, 0.902328431372549, 0.8889705882352942, 0.8737745098039216, 0.8747549019607844, 0.8180147058823529]
f1_in_time_list: [0.9402467626404699, 0.9682118248081246, 0.7465013568432776, 0.7460977360034001, 0.8378175152238029, 0.8281808667478826, 0.8687530887445292, 0.8792776076753096, 0.88775127564708, 0.9016865047300696, 0.8858919372196322, 0.8720397220444759, 0.8717663490045804, 0.8130400012840655]
**************************************************
Mean Accuracy: 0.7679705215
Mean F1: 0.7535056160
Std Accuracy: 0.0669633604
Std F1: 0.0741579022
Mean Accuracy (Intime): 0.8675507703
Std Accuracy (Intime): 0.0528702130
Mean F1 (Intime): 0.8605187535
Std F1 (Intime): 0.0607224003
ACC: 76.80±6.70
F1: 75.35±7.42
Intime: 86.76±5.29
F1 (Intime): 86.05±6.07
