Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.5882352941176471, 0.5441176470588235, 0.5882352941176471, 0.5588235294117647, 0.5294117647058824, 0.6666666666666666, 0.6811594202898551, 0.7246376811594203, 0.7246376811594203, 0.7536231884057971, 0.7352941176470589, 0.7058823529411765, 0.6617647058823529, 0.7058823529411765, 0.6911764705882353]
  mean: 0.6573032111, std: 0.0727452811
F1 Score: [0.5843085485942628, 0.5253623188405797, 0.5699110914628156, 0.5495905707196029, 0.5145440251572326, 0.6700981106668887, 0.6840068048015904, 0.7156954887218046, 0.7168512783082143, 0.756704260651629, 0.6666666666666666, 0.6483827493261456, 0.6398113207547169, 0.6775490196078431, 0.6348039215686274]
  mean: 0.6369524117, std: 0.0708266387
Accuracy Intime: [0.9285714285714286, 1.0, 0.9285714285714286, 0.8846153846153846, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9615384615384616, 0.9230769230769231, 1.0, 1.0, 0.9642857142857143, 0.9615384615384616, 1.0]
  mean: 0.9653846154, std: 0.0372358331
F1 In Time: [0.9285714285714286, 1.0, 0.9328282828282828, 0.8936274509803921, 1.0, 0.9365079365079365, 1.0, 1.0, 0.9686274509803922, 0.9248917748917749, 1.0, 1.0, 0.9625668449197861, 0.9686274509803922, 1.0]
  mean: 0.9677499080, std: 0.0349955954
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.6666666666666666, 0.6666666666666666, 0.5072463768115942, 0.5507246376811594, 0.6956521739130435, 0.7058823529411765, 0.7058823529411765, 0.7058823529411765, 0.6764705882352942, 0.7058823529411765, 0.463768115942029, 0.5217391304347826, 0.5797101449275363, 0.5507246376811594, 0.5942028985507246]
  mean: 0.6198067633, std: 0.0822330763
F1 Score: [0.650224699680235, 0.6097989916587477, 0.4618298368298368, 0.5120735785953178, 0.6693189146019335, 0.6435185185185185, 0.6435185185185185, 0.6435185185185185, 0.611111111111111, 0.6435185185185185, 0.3504916136495084, 0.4432371034538217, 0.521104201997362, 0.47068392134181614, 0.5355218855218855]
  mean: 0.5606313288, std: 0.0940318683
Accuracy Intime: [1.0, 1.0, 1.0, 0.9230769230769231, 0.8461538461538461, 1.0, 1.0, 1.0, 0.75, 0.7307692307692307, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9615384615384616, 0.8846153846153846]
  mean: 0.9349816850, std: 0.0888835217
F1 In Time: [1.0, 1.0, 1.0, 0.9375, 0.8115079365079365, 1.0, 1.0, 1.0, 0.681954887218045, 0.6284722222222222, 0.9641025641025641, 1.0, 0.9625668449197862, 0.9450549450549451, 0.8666666666666666]
  mean: 0.9198550711, std: 0.1171208922
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.6470588235294118, 0.7941176470588235, 0.75, 0.8088235294117647, 0.7352941176470589, 0.6376811594202898, 0.6811594202898551, 0.6521739130434783, 0.6811594202898551, 0.6811594202898551, 0.7681159420289855, 0.7971014492753623, 0.7971014492753623, 0.7536231884057971, 0.6376811594202898]
  mean: 0.7214833760, std: 0.0620850099
F1 Score: [0.5859993120055039, 0.7928743961352657, 0.7229416336559193, 0.8100693845475629, 0.7157862954487668, 0.6142829639770686, 0.6442012288786483, 0.6107142857142858, 0.642572156196944, 0.642572156196944, 0.7711080586080586, 0.8105379128617509, 0.8035714285714286, 0.7630081300813008, 0.6177897574123989]
  mean: 0.7032019400, std: 0.0808777518
Accuracy Intime: [0.8571428571428571, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 1.0, 0.9642857142857143, 0.9615384615384616, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 0.9615384615384616]
  mean: 0.9686813187, std: 0.0486069683
F1 In Time: [0.8564102564102565, 1.0, 1.0, 1.0, 1.0, 0.8593406593406594, 1.0, 0.9641025641025641, 0.9686274509803922, 1.0, 0.930952380952381, 1.0, 1.0, 1.0, 0.9641025641025641]
  mean: 0.9695690584, std: 0.0481950854
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.6811594202898551, 0.6956521739130435, 0.6811594202898551, 0.6666666666666666, 0.6521739130434783, 0.8260869565217391, 0.8260869565217391, 0.8840579710144928, 0.855072463768116, 0.8840579710144928, 0.7391304347826086, 0.7536231884057971, 0.6811594202898551, 0.7536231884057971, 0.7246376811594203]
  mean: 0.7536231884, std: 0.0786713159
F1 Score: [0.6386842105263159, 0.6470588235294118, 0.6414529914529914, 0.6243280282935456, 0.6151347216002389, 0.8097326049453709, 0.8159748140078589, 0.8826754385964912, 0.8516319475621802, 0.8838936497473082, 0.6876684636118598, 0.7395238095238095, 0.6399159663865546, 0.6961271102284011, 0.6789149622112995]
  mean: 0.7235145028, std: 0.0952467808
Accuracy Intime: [0.9285714285714286, 0.9642857142857143, 1.0, 0.9285714285714286, 0.9615384615384616, 0.9642857142857143, 0.9285714285714286, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 0.9285714285714286, 0.8928571428571429, 0.9615384615384616]
  mean: 0.9567765568, std: 0.0372853470
F1 In Time: [0.9285714285714286, 0.9641025641025641, 1.0, 0.9375, 0.9625668449197861, 0.9641025641025641, 0.9270833333333334, 1.0, 1.0, 1.0, 0.8923076923076922, 1.0, 0.930952380952381, 0.9019050802139037, 0.9580419580419581]
  mean: 0.9578089231, std: 0.0359171425
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.7205882352941176, 0.7058823529411765, 0.7352941176470589, 0.7352941176470589, 0.5882352941176471, 0.7205882352941176, 0.7058823529411765, 0.7058823529411765, 0.7352941176470589, 0.7647058823529411, 0.7058823529411765, 0.7352941176470589, 0.7352941176470589, 0.7205882352941176, 0.7352941176470589]
  mean: 0.7166666667, std: 0.0377673731
F1 Score: [0.6564935064935065, 0.6460084033613446, 0.6666666666666666, 0.6666666666666666, 0.5444711538461539, 0.6527777777777778, 0.6460084033613446, 0.6460084033613446, 0.6666666666666666, 0.7133333333333334, 0.6231974921630095, 0.6630545639979603, 0.659919028340081, 0.645, 0.6630545639979603]
  mean: 0.6506217753, std: 0.0339168275
Accuracy Intime: [0.8571428571428571, 1.0, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9761904762, std: 0.0482106113
F1 In Time: [0.8631410256410257, 1.0, 1.0, 1.0, 1.0, 0.8976190476190475, 1.0, 1.0, 1.0, 1.0, 0.8976190476190475, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9772252747, std: 0.0461257528
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.4117647058823529, 0.45588235294117646, 0.4264705882352941, 0.4411764705882353, 0.5588235294117647, 0.463768115942029, 0.5072463768115942, 0.4782608695652174, 0.5362318840579711, 0.6811594202898551, 0.6666666666666666, 0.6811594202898551, 0.6956521739130435, 0.6811594202898551, 0.7246376811594203]
  mean: 0.5606706451, std: 0.1110469450
F1 Score: [0.34266169154228854, 0.4026923076923077, 0.3523529411764706, 0.38850649350649347, 0.5097236014564713, 0.389874031007752, 0.4149747078318507, 0.37558203991130823, 0.46320875787508753, 0.6784511784511784, 0.5934130727762803, 0.6060049019607843, 0.6212121212121212, 0.6099965168930686, 0.6651120726344162]
  mean: 0.4942510957, std: 0.1183512605
Accuracy Intime: [1.0, 1.0, 1.0, 0.9285714285714286, 0.7692307692307693, 0.9285714285714286, 1.0, 0.9642857142857143, 0.9230769230769231, 0.7692307692307693, 0.9642857142857143, 1.0, 0.9642857142857143, 0.8461538461538461, 0.6538461538461539]
  mean: 0.9141025641, std: 0.1030444013
F1 In Time: [1.0, 1.0, 1.0, 0.9248917748917749, 0.7292429792429793, 0.9282051282051282, 1.0, 0.9625668449197862, 0.9136823960353372, 0.7395833333333334, 0.9641025641025641, 1.0, 0.9686274509803922, 0.8145299145299145, 0.5930631868131868]
  mean: 0.9025663715, std: 0.1212830929
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.9264705882352942, 1.0, 0.9411764705882353, 0.9705882352941176, 0.9411764705882353, 0.7352941176470589, 0.7205882352941176, 0.7205882352941176, 0.7205882352941176, 0.7205882352941176, 0.8529411764705882, 0.7058823529411765, 0.7352941176470589, 0.5735294117647058, 0.7352941176470589]
  mean: 0.8000000000, std: 0.1226626924
F1 Score: [0.917948717948718, 1.0, 0.9333333333333333, 0.9676113360323886, 0.9333333333333333, 0.6630545639979603, 0.6422113289760348, 0.6473941667586156, 0.6506506506506506, 0.6445868945868946, 0.8486263736263737, 0.6828872056281393, 0.7174835309617918, 0.4972193555784887, 0.6986683904330963]
  mean: 0.7630006121, std: 0.1495009757
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 1.0, 1.0, 0.8846153846153846, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231]
  mean: 0.9820512821, std: 0.0368017951
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.9142857142857144, 1.0, 1.0, 1.0, 1.0, 0.8666666666666666, 1.0, 1.0, 1.0, 1.0, 0.9142857142857144]
  mean: 0.9796825397, std: 0.0418566342
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.5882352941176471, 0.5294117647058824, 0.5441176470588235, 0.5735294117647058, 0.5735294117647058, 0.6911764705882353, 0.7205882352941176, 0.7058823529411765, 0.7058823529411765, 0.7205882352941176, 0.5588235294117647, 0.6470588235294118, 0.6176470588235294, 0.6029411764705882, 0.4852941176470588]
  mean: 0.6176470588, std: 0.0740179847
F1 Score: [0.5590322580645162, 0.5045787545787546, 0.5192857142857144, 0.5547436843075788, 0.5443121693121693, 0.6372549019607843, 0.6527777777777778, 0.6452380952380952, 0.6452380952380952, 0.6495410504844468, 0.5915930134680135, 0.677047677047677, 0.5884396853146854, 0.5973557692307692, 0.5052624920936116]
  mean: 0.5914467426, std: 0.0560914843
Accuracy Intime: [0.8928571428571429, 0.9642857142857143, 1.0, 0.8846153846153846, 0.9615384615384616, 0.9642857142857143, 1.0, 0.8928571428571429, 0.9230769230769231, 0.8846153846153846, 0.8928571428571429, 0.9642857142857143, 1.0, 0.9230769230769231, 0.9230769230769231]
  mean: 0.9380952381, std: 0.0421428532
F1 In Time: [0.8918875242404655, 0.9641025641025641, 1.0, 0.8771929824561403, 0.9580419580419581, 0.9641025641025641, 1.0, 0.8957219251336899, 0.9222222222222223, 0.8915584415584416, 0.8995192307692308, 0.9625668449197862, 1.0, 0.9313168449197862, 0.926791958041958]
  mean: 0.9390016707, std: 0.0412738399
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.6470588235294118, 0.6029411764705882, 0.6470588235294118, 0.75, 0.6470588235294118, 0.6617647058823529, 0.6764705882352942, 0.6176470588235294, 0.5588235294117647, 0.6764705882352942, 0.6470588235294118, 0.6764705882352942, 0.6470588235294118, 0.5294117647058824, 0.5588235294117647]
  mean: 0.6362745098, std: 0.0540906440
F1 Score: [0.6706201802975996, 0.5941061253561253, 0.6381227704757116, 0.7374074074074074, 0.6360348583877995, 0.5953419645370109, 0.6167905228186746, 0.5623019055256425, 0.49886363636363634, 0.6307287064668322, 0.6312925170068027, 0.661578947368421, 0.6326554464703132, 0.479402252315138, 0.546019050223316]
  mean: 0.6087510861, std: 0.0641346429
Accuracy Intime: [1.0, 0.9642857142857143, 0.9285714285714286, 0.9615384615384616, 0.9230769230769231, 1.0, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 0.9642857142857143, 1.0, 0.8076923076923077]
  mean: 0.9650183150, std: 0.0492820355
F1 In Time: [1.0, 0.9641025641025641, 0.9222222222222223, 0.9625668449197861, 0.9222222222222223, 1.0, 1.0, 1.0, 1.0, 0.9625668449197862, 0.9686274509803922, 1.0, 0.9625668449197862, 1.0, 0.7848039215686274]
  mean: 0.9633119277, std: 0.0545860079
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.47058823529411764, 0.4264705882352941, 0.4411764705882353, 0.4117647058823529, 0.5147058823529411, 0.5588235294117647, 0.5147058823529411, 0.4117647058823529, 0.4852941176470588, 0.4852941176470588, 0.6956521739130435, 0.6666666666666666, 0.6521739130434783, 0.5942028985507246, 0.6376811594202898]
  mean: 0.5311310031, std: 0.0938565131
F1 Score: [0.5192006269592476, 0.4577937070197132, 0.47236047236047235, 0.4709298983492532, 0.5437058759639405, 0.5594895216150977, 0.46963977227135123, 0.39671164417791105, 0.47262370397963616, 0.48885666246321985, 0.6414215686274509, 0.6087301587301588, 0.5702733860342556, 0.5269660894660895, 0.565570021111893]
  mean: 0.5176182073, std: 0.0626116897
Accuracy Intime: [0.6785714285714286, 1.0, 0.9642857142857143, 1.0, 0.8461538461538461, 0.8214285714285714, 1.0, 1.0, 1.0, 0.8846153846153846, 0.9285714285714286, 1.0, 1.0, 1.0, 0.9230769230769231]
  mean: 0.9364468864, std: 0.0908830998
F1 In Time: [0.6964285714285714, 1.0, 0.9625668449197862, 1.0, 0.8035714285714286, 0.8246794871794871, 1.0, 1.0, 1.0, 0.8666666666666666, 0.930952380952381, 1.0, 1.0, 1.0, 0.9160633484162897]
  mean: 0.9333952485, std: 0.0916246468
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.7391304347826086, 0.7971014492753623, 0.6666666666666666, 0.7391304347826086, 0.7246376811594203, 0.7101449275362319, 0.7246376811594203, 0.7681159420289855, 0.7391304347826086, 0.7391304347826086, 0.7391304347826086, 0.7391304347826086, 0.855072463768116, 0.7681159420289855, 0.7391304347826086]
  mean: 0.7458937198, std: 0.0402563607
F1 Score: [0.719880640353582, 0.7930066427261379, 0.6173513515987168, 0.7221163870367732, 0.70417663476874, 0.6605314058841495, 0.6728878648233487, 0.737012987012987, 0.6881987577639752, 0.6881987577639752, 0.7443777153079479, 0.7192379179026833, 0.8604610893979122, 0.7680477638425494, 0.7370230993408571]
  mean: 0.7221672677, std: 0.0560010851
Accuracy Intime: [0.9285714285714286, 1.0, 1.0, 0.9285714285714286, 0.8846153846153846, 0.9642857142857143, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 0.8928571428571429, 0.9230769230769231]
  mean: 0.9584249084, std: 0.0379196078
F1 In Time: [0.930952380952381, 1.0, 1.0, 0.9267919580419581, 0.8878787878787879, 0.9641025641025641, 0.9641025641025641, 1.0, 0.9625668449197862, 0.9580419580419581, 0.9625668449197862, 1.0, 1.0, 0.8911382734912147, 0.9248917748917749]
  mean: 0.9582022634, std: 0.0375275258
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.6176470588235294, 0.6029411764705882, 0.5441176470588235, 0.5735294117647058, 0.6764705882352942, 0.7971014492753623, 0.8260869565217391, 0.7681159420289855, 0.7681159420289855, 0.7681159420289855, 0.7794117647058824, 0.7352941176470589, 0.8235294117647058, 0.7941176470588235, 0.7058823529411765]
  mean: 0.7186984939, std: 0.0904639069
F1 Score: [0.6138659423543145, 0.5625749625187406, 0.5158119658119658, 0.5414529914529914, 0.617948717948718, 0.8085704125177808, 0.830187929654393, 0.7644755650853212, 0.7741473656702463, 0.7681526511313744, 0.7916666666666666, 0.7463218390804598, 0.8317460317460318, 0.7996408353551211, 0.6775105549867105]
  mean: 0.7096049621, std: 0.1071109737
Accuracy Intime: [0.9285714285714286, 1.0, 0.9642857142857143, 0.9230769230769231, 1.0, 0.8571428571428571, 1.0, 1.0, 1.0, 1.0, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9230769230769231, 1.0]
  mean: 0.9683150183, std: 0.0417228820
F1 In Time: [0.9328525641025641, 1.0, 0.9641025641025641, 0.9119047619047619, 1.0, 0.8642857142857143, 1.0, 1.0, 1.0, 1.0, 0.9686274509803922, 1.0, 0.9625668449197861, 0.9136823960353372, 1.0]
  mean: 0.9678681531, std: 0.0418934484
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.5147058823529411, 0.5294117647058824, 0.5882352941176471, 0.5735294117647058, 0.47058823529411764, 0.4927536231884058, 0.5362318840579711, 0.5362318840579711, 0.5362318840579711, 0.5652173913043478, 0.45588235294117646, 0.5147058823529411, 0.45588235294117646, 0.47058823529411764, 0.5441176470588235]
  mean: 0.5189542484, std: 0.0407544983
F1 Score: [0.44846153846153847, 0.4816810344827586, 0.5411010558069382, 0.525012444001991, 0.41293478260869565, 0.4869374274099884, 0.5175438596491229, 0.5002380952380953, 0.5069293639199274, 0.53406002599551, 0.3312980551786522, 0.4489174263674614, 0.33547794117647056, 0.3683461500049935, 0.4935064935064935]
  mean: 0.4621630463, std: 0.0676319963
Accuracy Intime: [0.8928571428571429, 0.9285714285714286, 0.8928571428571429, 0.9615384615384616, 0.9615384615384616, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9615384615384616, 1.0, 0.8214285714285714, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616]
  mean: 0.9514652015, std: 0.0480014234
F1 In Time: [0.8972576443164679, 0.9313168449197861, 0.893939393939394, 0.9686274509803922, 0.9625668449197861, 0.9625668449197862, 1.0, 0.9625668449197862, 0.9494949494949495, 1.0, 0.8277243589743589, 1.0, 1.0, 0.9686274509803922, 0.9641025641025641]
  mean: 0.9525860795, std: 0.0465413803
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.4852941176470588, 0.45588235294117646, 0.47058823529411764, 0.47058823529411764, 0.4411764705882353, 0.5441176470588235, 0.4264705882352941, 0.5588235294117647, 0.5147058823529411, 0.5294117647058824, 0.5147058823529411, 0.6470588235294118, 0.7205882352941176, 0.6764705882352942, 0.6323529411764706]
  mean: 0.5392156863, std: 0.0876889403
F1 Score: [0.4030763528539659, 0.3657407407407407, 0.39285714285714285, 0.37857142857142856, 0.35934065934065934, 0.5921648249234457, 0.4447781385281385, 0.6023692699104992, 0.5632664437012262, 0.5435035254154713, 0.4840970350404313, 0.6365612648221344, 0.7227505827505828, 0.6787115839243498, 0.5919723551302498]
  mean: 0.5173174232, std: 0.1171226737
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9901098901, std: 0.0164162241
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9902225879, std: 0.0162188516
--------------------------------------------------
Subject Number: 15
Accuracy Cross: [0.7352941176470589, 0.6617647058823529, 0.7058823529411765, 0.6029411764705882, 0.7205882352941176, 0.8529411764705882, 0.7941176470588235, 0.8235294117647058, 0.8235294117647058, 0.8382352941176471, 0.6911764705882353, 0.5588235294117647, 0.5147058823529411, 0.5294117647058824, 0.7058823529411765]
  mean: 0.7039215686, std: 0.1088456081
F1 Score: [0.7486737400530505, 0.6707142857142857, 0.714341290893015, 0.6036956521739131, 0.7300420168067228, 0.8537134695671281, 0.7942605168836069, 0.8283676144383949, 0.8231390257252327, 0.8427881354378632, 0.6420354864433813, 0.48260073260073255, 0.4028745644599303, 0.42829100723837565, 0.6388888888888888]
  mean: 0.6802950952, std: 0.1434792079
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616, 0.8571428571428571, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9756410256, std: 0.0385773592
F1 In Time: [0.9641025641025641, 1.0, 1.0, 0.9686274509803922, 0.9580419580419581, 0.8548745372274784, 1.0, 1.0, 1.0, 0.9641025641025641, 0.9222222222222223, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9754647531, std: 0.0394994291
--------------------------------------------------
Subject Number: 16
Accuracy Cross: [0.7352941176470589, 0.7058823529411765, 0.6470588235294118, 0.6617647058823529, 0.8529411764705882, 0.7058823529411765, 0.75, 0.6470588235294118, 0.6176470588235294, 0.6911764705882353, 0.7352941176470589, 0.75, 0.8088235294117647, 0.8382352941176471, 0.8382352941176471]
  mean: 0.7323529412, std: 0.0726813843
F1 Score: [0.7410087719298246, 0.7073530078426039, 0.6220735785953178, 0.670051369117583, 0.8592719513772145, 0.6605263157894736, 0.7318924539512774, 0.6017689896216679, 0.5532204360746125, 0.6480360065466448, 0.7158602658602659, 0.7457413695529145, 0.8019920044113593, 0.8304566563467493, 0.8338662989692738]
  mean: 0.7148746317, std: 0.0875246297
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9877289377, std: 0.0173712904
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 0.9580419580419581, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9580419580419581, 0.9641025641025641, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9872261072, std: 0.0181461607
--------------------------------------------------
Subject Number: 17
Accuracy Cross: [0.8695652173913043, 0.8840579710144928, 0.8405797101449275, 0.9130434782608695, 0.7971014492753623, 0.5362318840579711, 0.5072463768115942, 0.5652173913043478, 0.5797101449275363, 0.5507246376811594, 0.7205882352941176, 0.7058823529411765, 0.6323529411764706, 0.6764705882352942, 0.6617647058823529]
  mean: 0.6960358056, std: 0.1323923738
F1 Score: [0.8725694444444445, 0.886405529953917, 0.8425438596491228, 0.9156926406926407, 0.7988479262672812, 0.4616477272727273, 0.42428842504743836, 0.5075604838709677, 0.5284615384615385, 0.49580753353973167, 0.6716631726065688, 0.6951544908991718, 0.5947207928340004, 0.6193977591036415, 0.6313329679697965]
  mean: 0.6630729528, std: 0.1601644601
Accuracy Intime: [1.0, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 1.0, 0.9285714285714286, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 0.9642857142857143, 1.0, 1.0]
  mean: 0.9805860806, std: 0.0223743268
F1 In Time: [1.0, 0.9641025641025641, 1.0, 0.9450549450549451, 1.0, 0.9641025641025641, 1.0, 0.9160633484162897, 1.0, 0.9580419580419581, 1.0, 0.9641025641025641, 0.9641025641025641, 1.0, 1.0]
  mean: 0.9783713672, std: 0.0257712179
--------------------------------------------------
Subject Number: 18
Accuracy Cross: [0.7681159420289855, 0.7971014492753623, 0.7681159420289855, 0.6521739130434783, 0.7536231884057971, 0.6029411764705882, 0.6323529411764706, 0.5588235294117647, 0.6029411764705882, 0.5882352941176471, 0.5441176470588235, 0.6029411764705882, 0.5882352941176471, 0.5735294117647058, 0.5147058823529411]
  mean: 0.6365302643, std: 0.0878725660
F1 Score: [0.7690730837789661, 0.8082633053221289, 0.7696441155743481, 0.67286285143428, 0.7674603174603175, 0.6232833801122695, 0.6483870967741936, 0.592750257997936, 0.5933660933660934, 0.6094729965156795, 0.549047619047619, 0.6026143790849673, 0.5633431085043988, 0.5605820105820105, 0.4924385093876619]
  mean: 0.6415059417, std: 0.0925162815
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 1.0000000000, std: 0.0000000000
--------------------------------------------------
Subject Number: 19
Accuracy Cross: [0.3235294117647059, 0.38235294117647056, 0.3382352941176471, 0.38235294117647056, 0.29411764705882354, 0.6029411764705882, 0.6617647058823529, 0.7205882352941176, 0.6764705882352942, 0.6470588235294118, 0.5294117647058824, 0.5, 0.5294117647058824, 0.47058823529411764, 0.6470588235294118]
  mean: 0.5137254902, std: 0.1383152321
F1 Score: [0.2590909090909091, 0.32416666666666666, 0.3176638176638177, 0.33632897603485834, 0.2545045045045045, 0.5744216475348551, 0.6619778789850358, 0.7105473705454965, 0.6867524147940544, 0.6491228070175439, 0.4822916666666667, 0.4537728026533997, 0.48605510752688175, 0.4294871794871795, 0.5862280701754385]
  mean: 0.4808274546, std: 0.1531917105
Accuracy Intime: [0.75, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 0.8214285714285714, 1.0, 0.9642857142857143, 1.0, 1.0]
  mean: 0.9642857143, std: 0.0737711114
F1 In Time: [0.748085248085248, 1.0, 1.0, 1.0, 1.0, 0.930952380952381, 1.0, 1.0, 1.0, 1.0, 0.8330639948287007, 1.0, 0.9625668449197862, 1.0, 1.0]
  mean: 0.9649778979, std: 0.0726173865
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.7205882352941176, 0.7205882352941176, 0.6764705882352942, 0.6617647058823529, 0.6470588235294118, 0.7205882352941176, 0.6617647058823529, 0.6911764705882353, 0.6911764705882353, 0.6323529411764706, 0.6811594202898551, 0.7391304347826086, 0.7536231884057971, 0.7246376811594203, 0.7536231884057971]
  mean: 0.6983802217, std: 0.0369580376
F1 Score: [0.6698343079922027, 0.6700206398348812, 0.615, 0.602165256346441, 0.586571018651363, 0.6501547987616099, 0.6167466469792051, 0.6488294314381271, 0.6428445185072968, 0.5675177304964539, 0.6671085858585859, 0.7379564879564879, 0.7555951673598732, 0.7193062702496664, 0.7476851851851852]
  mean: 0.6598224030, std: 0.0567863111
Accuracy Intime: [0.8928571428571429, 1.0, 0.9642857142857143, 0.9615384615384616, 0.7307692307692307, 0.8571428571428571, 1.0, 1.0, 0.9615384615384616, 0.7307692307692307, 0.8214285714285714, 1.0, 0.9642857142857143, 0.9230769230769231, 0.7307692307692307]
  mean: 0.9025641026, std: 0.1000838248
F1 In Time: [0.8948412698412699, 1.0, 0.9625668449197862, 0.9495798319327732, 0.6259655377302437, 0.8631410256410257, 1.0, 1.0, 0.9686274509803922, 0.6200980392156863, 0.8246794871794871, 1.0, 0.9641025641025641, 0.9375, 0.6240896358543417]
  mean: 0.8823461125, std: 0.1386958035
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.8088235294117647, 0.8088235294117647, 0.7794117647058824, 0.8235294117647058, 0.75, 0.8676470588235294, 0.8235294117647058, 0.9264705882352942, 0.8382352941176471, 0.8970588235294118, 0.8088235294117647, 0.7941176470588235, 0.8529411764705882, 0.8676470588235294, 0.8529411764705882]
  mean: 0.8333333333, std: 0.0441720797
F1 Score: [0.8048744126330334, 0.7932692307692308, 0.773839732208109, 0.8164793885892945, 0.755952380952381, 0.8666666666666667, 0.8164502164502165, 0.927733983983984, 0.829450083320709, 0.8968009505091785, 0.7893020493020493, 0.7631676833804494, 0.8494983277591973, 0.8588313214798784, 0.8553073463268366]
  mean: 0.8265082516, std: 0.0477038139
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9230769230769231, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9230769230769231, 0.9615384615384616, 1.0, 1.0, 0.9642857142857143, 1.0, 0.9230769230769231]
  mean: 0.9749084249, std: 0.0301258391
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.9115384615384616, 0.9625668449197862, 1.0, 0.9686274509803922, 0.8827300150829562, 0.9580419580419581, 1.0, 1.0, 0.9686274509803922, 1.0, 0.9160633484162897]
  mean: 0.9712130353, std: 0.0377031446
--------------------------------------------------
Subject Number: 22
Accuracy Cross: [0.4117647058823529, 0.5441176470588235, 0.5147058823529411, 0.5441176470588235, 0.45588235294117646, 0.5072463768115942, 0.5507246376811594, 0.5652173913043478, 0.5507246376811594, 0.4782608695652174, 0.6911764705882353, 0.6029411764705882, 0.5882352941176471, 0.6029411764705882, 0.5294117647058824]
  mean: 0.5424978687, std: 0.0648418162
F1 Score: [0.4125, 0.4946490791438527, 0.4625506072874494, 0.5125684420109508, 0.40774131274131276, 0.45779220779220775, 0.5494243296470231, 0.5117874736101337, 0.5055555555555555, 0.430414979757085, 0.6642198131703378, 0.5615967155596089, 0.5755307136404697, 0.5703674582798459, 0.5356601731601731]
  mean: 0.5101572574, std: 0.0673973226
Accuracy Intime: [0.8571428571428571, 1.0, 0.9642857142857143, 0.9615384615384616, 0.9230769230769231, 0.9642857142857143, 1.0, 1.0, 1.0, 0.7692307692307693, 0.9285714285714286, 1.0, 1.0, 1.0, 0.8461538461538461]
  mean: 0.9476190476, std: 0.0689078073
F1 In Time: [0.8660714285714286, 1.0, 0.9686274509803922, 0.9686274509803922, 0.9142857142857144, 0.9641025641025641, 1.0, 1.0, 1.0, 0.7352941176470589, 0.9375, 1.0, 1.0, 1.0, 0.8057692307692308]
  mean: 0.9440185305, std: 0.0788386845
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [0.6811594202898551, 0.7536231884057971, 0.7246376811594203, 0.7101449275362319, 0.7101449275362319, 0.6029411764705882, 0.45588235294117646, 0.7058823529411765, 0.7058823529411765, 0.6470588235294118, 0.5652173913043478, 0.5362318840579711, 0.5942028985507246, 0.5507246376811594, 0.5217391304347826]
  mean: 0.6310315431, std: 0.0874904970
F1 Score: [0.666256157635468, 0.7499711107013339, 0.6564935064935065, 0.6478728168383341, 0.6460084033613446, 0.5289141414141414, 0.3874282337048295, 0.6230582944127314, 0.6199446462549731, 0.5803030303030303, 0.5180196360153256, 0.4907592407592407, 0.5448028673835126, 0.5007782567049808, 0.4770007720020587]
  mean: 0.5758407409, std: 0.0909059853
Accuracy Intime: [0.8928571428571429, 1.0, 1.0, 1.0, 0.8461538461538461, 0.9642857142857143, 1.0, 1.0, 0.9642857142857143, 0.8846153846153846, 0.9642857142857143, 1.0, 1.0, 1.0, 0.8846153846153846]
  mean: 0.9600732601, std: 0.0527192640
F1 In Time: [0.893859649122807, 1.0, 1.0, 1.0, 0.8057692307692308, 0.9625668449197861, 1.0, 1.0, 0.9625668449197862, 0.8830357142857144, 0.9686274509803922, 1.0, 1.0, 1.0, 0.8776018099547511]
  mean: 0.9569351697, std: 0.0597892698
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [0.6176470588235294, 0.6323529411764706, 0.6323529411764706, 0.6029411764705882, 0.5735294117647058, 0.6911764705882353, 0.7058823529411765, 0.7205882352941176, 0.7352941176470589, 0.7205882352941176, 0.6911764705882353, 0.6470588235294118, 0.75, 0.75, 0.6911764705882353]
  mean: 0.6774509804, std: 0.0540906440
F1 Score: [0.6038344019234623, 0.6193528693528693, 0.6388793103448276, 0.586539816772375, 0.5462509712509713, 0.6073699472452224, 0.6306216931216931, 0.6363929146537842, 0.65, 0.6375430663221361, 0.7092420670006877, 0.661956621634041, 0.7609642795314213, 0.7395744680851064, 0.7165584415584416]
  mean: 0.6496720579, std: 0.0571174554
Accuracy Intime: [0.9285714285714286, 1.0, 1.0, 0.9615384615384616, 1.0, 0.9285714285714286, 1.0, 0.9642857142857143, 1.0, 1.0, 0.9285714285714286, 1.0, 0.9642857142857143, 0.9615384615384616, 0.9615384615384616]
  mean: 0.9732600733, std: 0.0277724773
F1 In Time: [0.930952380952381, 1.0, 1.0, 0.9686274509803922, 1.0, 0.930952380952381, 1.0, 0.9625668449197862, 1.0, 1.0, 0.9365079365079365, 1.0, 0.9625668449197862, 0.9686274509803922, 0.9641025641025641]
  mean: 0.9749935903, std: 0.0261357525
--------------------------------------------------
Subject Number: 25
Accuracy Cross: [0.9420289855072463, 0.9710144927536232, 0.927536231884058, 0.9565217391304348, 0.9420289855072463, 0.7794117647058824, 0.75, 0.75, 0.7794117647058824, 0.7647058823529411, 0.7794117647058824, 0.6617647058823529, 0.6764705882352942, 0.6764705882352942, 0.7058823529411765]
  mean: 0.8041773231, std: 0.1083502583
F1 Score: [0.9384186818397344, 0.9710785584651284, 0.9276588276588278, 0.9523075707286234, 0.9411211853162318, 0.771177295602673, 0.7165266106442576, 0.7239882697947214, 0.7551455441110614, 0.7321356128658361, 0.783703907126067, 0.6329607892107892, 0.624965339671222, 0.6323863636363636, 0.6808712121212122]
  mean: 0.7856297179, std: 0.1227529276
Accuracy Intime: [1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 1.0, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231]
  mean: 0.9871794872, std: 0.0268925346
F1 In Time: [1.0, 1.0, 1.0, 0.8809523809523809, 1.0, 1.0, 1.0, 1.0, 0.9450549450549451, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9160633484162897]
  mean: 0.9828047116, std: 0.0363331685
--------------------------------------------------
Subject Number: 26
Accuracy Cross: [0.6231884057971014, 0.6376811594202898, 0.6811594202898551, 0.6666666666666666, 0.7971014492753623, 0.4264705882352941, 0.45588235294117646, 0.4117647058823529, 0.47058823529411764, 0.35294117647058826, 0.5882352941176471, 0.5294117647058824, 0.5588235294117647, 0.6470588235294118, 0.6764705882352942]
  mean: 0.5682296107, std: 0.1199101673
F1 Score: [0.6431127012522362, 0.6448812203050762, 0.7001488095238095, 0.6835049019607844, 0.7988883053221288, 0.394109396914446, 0.4294480519480519, 0.37577305097451275, 0.45490196078431366, 0.36322912150118036, 0.553792372881356, 0.5007805462261449, 0.5185966735966736, 0.6522101174687381, 0.6760020851385308]
  mean: 0.5592919544, std: 0.1320490178
Accuracy Intime: [0.8571428571428571, 1.0, 1.0, 0.9230769230769231, 0.8461538461538461, 1.0, 0.9642857142857143, 1.0, 0.8461538461538461, 0.9615384615384616, 0.9285714285714286, 1.0, 0.9642857142857143, 0.9615384615384616, 0.8846153846153846]
  mean: 0.9424908425, std: 0.0565557564
F1 In Time: [0.8631410256410257, 1.0, 1.0, 0.9365079365079365, 0.8125, 1.0, 0.9641025641025641, 1.0, 0.8652230122818358, 0.9580419580419581, 0.9285714285714286, 1.0, 0.9641025641025641, 0.9686274509803922, 0.8666666666666666]
  mean: 0.9418323071, std: 0.0597395930
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [0.8695652173913043, 0.8840579710144928, 0.8405797101449275, 0.9130434782608695, 0.7971014492753623, 0.5362318840579711, 0.5072463768115942, 0.5652173913043478, 0.5797101449275363, 0.5507246376811594, 0.7205882352941176, 0.7058823529411765, 0.6323529411764706, 0.6764705882352942, 0.6617647058823529]
  mean: 0.6960358056, std: 0.1323923738
F1 Score: [0.8725694444444445, 0.886405529953917, 0.8425438596491228, 0.9156926406926407, 0.7988479262672812, 0.4616477272727273, 0.42428842504743836, 0.5075604838709677, 0.5284615384615385, 0.49580753353973167, 0.6716631726065688, 0.6951544908991718, 0.5947207928340004, 0.6193977591036415, 0.6313329679697965]
  mean: 0.6630729528, std: 0.1601644601
Accuracy Intime: [1.0, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 1.0, 0.9285714285714286, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 0.9642857142857143, 1.0, 1.0]
  mean: 0.9805860806, std: 0.0223743268
F1 In Time: [1.0, 0.9641025641025641, 1.0, 0.9450549450549451, 1.0, 0.9641025641025641, 1.0, 0.9160633484162897, 1.0, 0.9580419580419581, 1.0, 0.9641025641025641, 0.9641025641025641, 1.0, 1.0]
  mean: 0.9783713672, std: 0.0257712179
--------------------------------------------------
Subject Number: 28
Accuracy Cross: [0.6617647058823529, 0.6176470588235294, 0.6764705882352942, 0.6764705882352942, 0.5294117647058824, 0.4264705882352941, 0.4411764705882353, 0.45588235294117646, 0.4411764705882353, 0.4852941176470588, 0.45588235294117646, 0.5147058823529411, 0.47058823529411764, 0.4852941176470588, 0.45588235294117646]
  mean: 0.5196078431, std: 0.0883441594
F1 Score: [0.5836805555555555, 0.5632996632996633, 0.603859649122807, 0.6238576238576238, 0.45011382295865054, 0.3568330271483976, 0.35079365079365077, 0.3920496894409938, 0.3689613526570048, 0.4256221719457014, 0.30844155844155846, 0.40494826810616286, 0.3376794258373206, 0.34832888276337326, 0.30808080808080807]
  mean: 0.4284366767, std: 0.1070314995
Accuracy Intime: [0.8214285714285714, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616, 1.0, 1.0, 0.9642857142857143, 1.0, 1.0, 0.9285714285714286, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0]
  mean: 0.9708791209, std: 0.0456496091
F1 In Time: [0.8303571428571428, 1.0, 1.0, 0.9450549450549451, 0.9641025641025641, 1.0, 1.0, 0.9625668449197862, 1.0, 1.0, 0.9303490627020039, 0.9625668449197862, 1.0, 0.9495798319327732, 1.0]
  mean: 0.9696384824, std: 0.0443131932
--------------------------------------------------
Subject Number: 29
Accuracy Cross: [0.5882352941176471, 0.5588235294117647, 0.5735294117647058, 0.6323529411764706, 0.5882352941176471, 0.9117647058823529, 0.9705882352941176, 0.9264705882352942, 0.9117647058823529, 0.8823529411764706, 0.7246376811594203, 0.7101449275362319, 0.7246376811594203, 0.7101449275362319, 0.6811594202898551]
  mean: 0.7396561523, std: 0.1393121691
F1 Score: [0.6239145844409002, 0.5592503561253561, 0.6088200088200089, 0.6557293363744977, 0.5813289760348583, 0.915625, 0.9721362229102167, 0.9291896144767899, 0.9168202764976958, 0.8831168831168832, 0.6536206017338093, 0.6406882591093117, 0.6536206017338093, 0.6406882591093117, 0.6268421052631579]
  mean: 0.7240927390, std: 0.1441207723
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 0.9230769230769231, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9230769230769231, 1.0, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 1.0]
  mean: 0.9776556777, std: 0.0299751448
F1 In Time: [0.9641025641025641, 1.0, 1.0, 0.9328525641025641, 1.0, 0.930952380952381, 1.0, 1.0, 0.9328525641025641, 1.0, 0.9641025641025641, 1.0, 1.0, 0.9625668449197861, 1.0]
  mean: 0.9791619655, std: 0.0273864537
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.6573032111395282, 0.6198067632850243, 0.7214833759590794, 0.7536231884057971, 0.7166666666666667, 0.5606706450696222, 0.8, 0.6176470588235294, 0.6362745098039216, 0.531131003125888, 0.7458937198067634, 0.7186984938903097, 0.518954248366013, 0.5392156862745098, 0.7039215686274509, 0.7323529411764705, 0.6960358056265984, 0.6365302642796249, 0.5137254901960785, 0.698380221653879, 0.8333333333333334, 0.5424978687127024, 0.6310315430520036, 0.677450980392157, 0.8041773231031543, 0.5682296106848537, 0.6960358056265984, 0.5196078431372549, 0.7396561523159989]
f1_score_list: [0.6369524117232414, 0.5606313288343767, 0.7032019400194566, 0.7235145028149093, 0.6506217753355877, 0.4942510957285252, 0.7630006121230546, 0.5914467425601794, 0.6087510860680289, 0.5176182072753127, 0.7221672677016222, 0.7096049621320557, 0.46216304625390914, 0.5173174232340311, 0.680295095154968, 0.714874631732452, 0.6630729528408659, 0.641505941662858, 0.48082745462315385, 0.6598224030411586, 0.8265082516220811, 0.5101572574237337, 0.5758407409323207, 0.6496720579198026, 0.7856297179195167, 0.5592919543865322, 0.6630729528408659, 0.42843667666728474, 0.7240927390497736]
accuracy_intime_list: [0.9653846153846153, 0.9349816849816849, 0.9686813186813187, 0.9567765567765567, 0.9761904761904762, 0.9141025641025641, 0.9820512820512821, 0.9380952380952381, 0.9650183150183149, 0.9364468864468865, 0.9584249084249084, 0.9683150183150182, 0.9514652014652014, 0.9901098901098901, 0.9756410256410256, 0.9877289377289377, 0.9805860805860805, 1.0, 0.9642857142857142, 0.9025641025641024, 0.9749084249084249, 0.9476190476190477, 0.96007326007326, 0.9732600732600732, 0.9871794871794872, 0.9424908424908426, 0.9805860805860805, 0.9708791208791208, 0.9776556776556776]
f1_in_time_list: [0.9677499080440256, 0.9198550711128111, 0.9695690583925878, 0.9578089231030408, 0.9772252747252747, 0.9025663715369598, 0.9796825396825397, 0.9390016707005873, 0.9633119277236926, 0.9333952485423073, 0.9582022634228518, 0.9678681530887413, 0.9525860794978444, 0.9902225878696468, 0.975464753111812, 0.9872261072261073, 0.9783713671948967, 1.0, 0.9649778979190745, 0.8823461124931712, 0.9712130353306824, 0.9440185304891187, 0.9569351696634978, 0.974993590287708, 0.982804711628241, 0.941832307126425, 0.9783713671948967, 0.9696384824326001, 0.979161965485495]
**************************************************
Mean Accuracy: 0.6596667353
Mean F1: 0.6284256286
Std Accuracy: 0.0918305329
Std F1: 0.1010112035
Mean Accuracy (Intime): 0.9631552356
Std Accuracy (Intime): 0.0221459559
Mean F1 (Intime): 0.9609103612
Std F1 (Intime): 0.0257010986
ACC: 65.97±9.18
F1: 62.84±10.10
Intime: 96.32±2.21
F1 (Intime): 96.09±2.57
