Learning Rate: 0.0001

Subject Number: 1
Accuracy Cross: [0.5147058823529411, 0.6176470588235294, 0.5441176470588235, 0.5441176470588235, 0.47058823529411764, 0.7101449275362319, 0.6666666666666666, 0.6086956521739131, 0.7536231884057971, 0.7246376811594203, 0.7205882352941176, 0.6911764705882353, 0.7352941176470589, 0.7352941176470589, 0.6911764705882353]
  mean: 0.6485649332, std: 0.0889811627
F1 Score: [0.49206349206349204, 0.5954520285915634, 0.5330349531116795, 0.531969111969112, 0.41835436231987955, 0.7082100135651744, 0.6513966192537621, 0.5835262563523433, 0.7633266699983342, 0.7024244524244524, 0.6509031198686371, 0.6526679038268173, 0.6803635634303716, 0.6841880341880342, 0.6353187042842215]
  mean: 0.6188799523, std: 0.0895838486
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9857142857, std: 0.0314069189
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 0.8976190476190475, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9860195360, std: 0.0304857623
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.6956521739130435, 0.6666666666666666, 0.5942028985507246, 0.4927536231884058, 0.6086956521739131, 0.7647058823529411, 0.75, 0.8088235294117647, 0.7205882352941176, 0.75, 0.6811594202898551, 0.6521739130434783, 0.7246376811594203, 0.4782608695652174, 0.6811594202898551]
  mean: 0.6712986644, std: 0.0914621598
F1 Score: [0.6645354645354646, 0.6148512036393505, 0.5566638651745035, 0.4585570679320679, 0.5648750254013412, 0.7318831436478495, 0.7221658021658022, 0.8128983634797587, 0.7071656271656273, 0.7215042582689641, 0.6699675324675325, 0.6035714285714286, 0.6512892202547376, 0.3577075098814229, 0.6324846206425154]
  mean: 0.6313413422, std: 0.1107429120
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 0.8846153846153846, 1.0, 1.0, 0.9642857142857143, 0.8214285714285714, 1.0, 0.9642857142857143, 1.0, 0.9642857142857143, 0.9615384615384616, 0.8846153846153846]
  mean: 0.9606227106, std: 0.0528127138
F1 In Time: [0.9625668449197861, 1.0, 1.0, 1.0, 0.8666666666666666, 1.0, 1.0, 0.9580419580419581, 0.7811274509803922, 1.0, 0.9641025641025641, 1.0, 0.9625668449197862, 0.9450549450549451, 0.8666666666666666]
  mean: 0.9537862628, std: 0.0634011830
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.7205882352941176, 0.7941176470588235, 0.8088235294117647, 0.8676470588235294, 0.8382352941176471, 0.6376811594202898, 0.6811594202898551, 0.6376811594202898, 0.6666666666666666, 0.6811594202898551, 0.782608695652174, 0.5362318840579711, 0.6666666666666666, 0.6231884057971014, 0.6231884057971014]
  mean: 0.7043762433, std: 0.0909928551
F1 Score: [0.6947592637247809, 0.797294061302682, 0.8080158754422149, 0.8662031499202553, 0.8364386158503806, 0.611166253101737, 0.6354166666666666, 0.5993428912783751, 0.6175721561969439, 0.6323863636363636, 0.7784032634032634, 0.48009730207872625, 0.6276526878694061, 0.5916661787951525, 0.5908902691511387]
  mean: 0.6778203332, std: 0.1086157595
Accuracy Intime: [0.8214285714285714, 1.0, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616, 0.8214285714285714, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616]
  mean: 0.9587912088, std: 0.0609370138
F1 In Time: [0.8330639948287007, 1.0, 1.0, 1.0, 1.0, 0.8976190476190475, 1.0, 1.0, 0.9686274509803922, 0.9641025641025641, 0.8248626373626373, 1.0, 1.0, 0.9625668449197861, 0.9641025641025641]
  mean: 0.9609963403, std: 0.0584043564
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.6811594202898551, 0.6666666666666666, 0.6811594202898551, 0.6666666666666666, 0.6811594202898551, 0.782608695652174, 0.782608695652174, 0.8115942028985508, 0.8840579710144928, 0.8260869565217391, 0.782608695652174, 0.7246376811594203, 0.7391304347826086, 0.7391304347826086, 0.6956521739130435]
  mean: 0.7429951691, std: 0.0642639194
F1 Score: [0.6386842105263159, 0.621468850698174, 0.6312446512623021, 0.6256017791732078, 0.6312446512623021, 0.7446718146718148, 0.7518147031539889, 0.7894388954171563, 0.8876876876876878, 0.8084248455730954, 0.7478991596638656, 0.6523128423615338, 0.6666666666666666, 0.6666666666666666, 0.6456714761376249]
  mean: 0.7006332601, std: 0.0792947726
Accuracy Intime: [1.0, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 0.9230769230769231, 0.9642857142857143, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9642857142857143, 1.0]
  mean: 0.9758241758, std: 0.0256972173
F1 In Time: [1.0, 0.9641025641025641, 0.9641025641025641, 0.9686274509803922, 0.9222222222222223, 0.9641025641025641, 0.9625668449197861, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9686274509803922, 1.0]
  mean: 0.9761948727, std: 0.0256732736
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.5147058823529411, 0.5441176470588235, 0.4852941176470588, 0.4852941176470588, 0.5147058823529411, 0.7205882352941176, 0.6911764705882353, 0.6176470588235294, 0.9264705882352942, 0.7058823529411765, 0.47058823529411764, 0.6470588235294118, 0.7205882352941176, 0.7352941176470589, 0.5735294117647058]
  mean: 0.6235294118, std: 0.1235994199
F1 Score: [0.4518633540372671, 0.5233333333333333, 0.4030763528539659, 0.42448471926083864, 0.4518633540372671, 0.645, 0.6351674641148325, 0.5737327188940092, 0.9223259762308998, 0.6586041907276027, 0.3843283582089552, 0.5757258149040981, 0.6393280632411067, 0.6517857142857143, 0.5144059153493116]
  mean: 0.5636683553, std: 0.1340372893
Accuracy Intime: [0.9642857142857143, 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: 0.9833333333, std: 0.0365768845
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 1.0, 0.8923076923076922, 1.0, 1.0, 1.0, 1.0, 0.8976190476190476, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9836019536, std: 0.0359023486
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.5588235294117647, 0.45588235294117646, 0.5, 0.4411764705882353, 0.4264705882352941, 0.5652173913043478, 0.6956521739130435, 0.43478260869565216, 0.782608695652174, 0.6811594202898551, 0.6956521739130435, 0.7101449275362319, 0.6956521739130435, 0.7246376811594203, 0.6666666666666666]
  mean: 0.6023017903, std: 0.1199226457
F1 Score: [0.5063636363636363, 0.3813393179590363, 0.46408632897603486, 0.3845238095238095, 0.36608695652173917, 0.5020275561190246, 0.6594393241167436, 0.31979226224509244, 0.7789534841165275, 0.6260313832583678, 0.6376382905020676, 0.6363357843137255, 0.6205343274308792, 0.6678239229173015, 0.5897794346070208]
  mean: 0.5427170546, std: 0.1314511763
Accuracy Intime: [1.0, 1.0, 1.0, 0.9285714285714286, 0.9615384615384616, 1.0, 0.9642857142857143, 0.9285714285714286, 0.9615384615384616, 0.8076923076923077, 0.9642857142857143, 0.9642857142857143, 0.9642857142857143, 1.0, 0.8461538461538461]
  mean: 0.9527472527, std: 0.0550292395
F1 In Time: [1.0, 1.0, 1.0, 0.9248917748917749, 0.9580419580419581, 1.0, 0.9686274509803922, 0.9328525641025642, 0.9686274509803922, 0.7787433155080214, 0.9641025641025641, 0.9686274509803922, 0.9686274509803922, 1.0, 0.825]
  mean: 0.9505427987, std: 0.0632589246
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.9264705882352942, 0.8529411764705882, 0.8676470588235294, 0.9411764705882353, 0.7941176470588235, 0.7058823529411765, 0.7058823529411765, 0.5882352941176471, 0.7352941176470589, 0.6911764705882353, 0.5588235294117647, 0.6617647058823529, 0.7205882352941176, 0.8088235294117647, 0.7794117647058824]
  mean: 0.7558823529, std: 0.1085715153
F1 Score: [0.917948717948718, 0.8351327035537561, 0.8558558558558558, 0.9426066933806871, 0.7803921568627451, 0.6209722222222223, 0.6129015911624608, 0.50472334682861, 0.6630545639979603, 0.6162060076617378, 0.48058300395256914, 0.5874246721020915, 0.6955627705627705, 0.8002063071028588, 0.7712969592352482]
  mean: 0.7123245048, std: 0.1389024138
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.8846153846153846, 1.0, 1.0, 1.0, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9897435897, std: 0.0296816331
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.8741258741258742, 1.0, 1.0, 1.0, 1.0, 0.9580419580419581, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9888111888, std: 0.0323799634
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.6323529411764706, 0.6911764705882353, 0.5882352941176471, 0.6764705882352942, 0.6470588235294118, 0.7205882352941176, 0.7205882352941176, 0.7205882352941176, 0.7352941176470589, 0.8529411764705882, 0.6764705882352942, 0.6470588235294118, 0.7058823529411765, 0.6470588235294118, 0.6176470588235294]
  mean: 0.6852941176, std: 0.0611783559
F1 Score: [0.6003694581280788, 0.6118338557993731, 0.5595611285266457, 0.6158310647307925, 0.6071847507331378, 0.6528066528066528, 0.6559224318658281, 0.6527777777777778, 0.6926510989010989, 0.8599501203990367, 0.646041055718475, 0.6205258481870176, 0.6813030496377501, 0.6025423728813559, 0.5803959131545338]
  mean: 0.6426464386, std: 0.0679208590
Accuracy Intime: [0.9642857142857143, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231, 0.9615384615384616, 0.9285714285714286, 1.0, 0.9642857142857143, 0.9615384615384616, 0.9230769230769231]
  mean: 0.9701465201, std: 0.0280859477
F1 In Time: [0.9686274509803922, 0.9641025641025641, 1.0, 0.9625668449197861, 1.0, 1.0, 1.0, 1.0, 0.9270833333333334, 0.9641025641025641, 0.9328525641025641, 1.0, 0.9625668449197862, 0.9625668449197861, 0.9248917748917749]
  mean: 0.9712907191, std: 0.0269180654
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.7794117647058824, 0.6323529411764706, 0.7794117647058824, 0.7941176470588235, 0.7647058823529411, 0.4852941176470588, 0.5147058823529411, 0.5441176470588235, 0.5441176470588235, 0.5147058823529411, 0.5735294117647058, 0.6470588235294118, 0.5, 0.6176470588235294, 0.6617647058823529]
  mean: 0.6235294118, std: 0.1073697274
F1 Score: [0.791104447776112, 0.6577380952380952, 0.786634460547504, 0.8012820512820512, 0.7837292464878671, 0.4036907278767744, 0.47119047619047616, 0.4805807882125742, 0.4882676026149395, 0.47148314213977693, 0.5080505478967834, 0.6407523510971787, 0.42857142857142855, 0.5702308509610741, 0.6528543796628903]
  mean: 0.5957440398, std: 0.1391066985
Accuracy Intime: [1.0, 0.9642857142857143, 1.0, 1.0, 0.8846153846153846, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 0.9642857142857143, 1.0, 0.8076923076923077]
  mean: 0.9695970696, std: 0.0547107336
F1 In Time: [1.0, 0.9641025641025641, 1.0, 1.0, 0.8696581196581196, 1.0, 1.0, 1.0, 1.0, 0.9142857142857144, 1.0, 1.0, 0.9625668449197862, 1.0, 0.7848039215686274]
  mean: 0.9663611443, std: 0.0612979470
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.5147058823529411, 0.5, 0.4117647058823529, 0.5588235294117647, 0.4264705882352941, 0.5147058823529411, 0.35294117647058826, 0.4117647058823529, 0.5294117647058824, 0.5, 0.5797101449275363, 0.6521739130434783, 0.6811594202898551, 0.6666666666666666, 0.6521739130434783]
  mean: 0.5301648196, std: 0.0989871597
F1 Score: [0.5001094690749863, 0.5152173913043478, 0.41308161708619373, 0.5526085434173669, 0.435233918128655, 0.49069816053511706, 0.30456810631229236, 0.2989873581011352, 0.5109677419354839, 0.4781063321385902, 0.5159554935370152, 0.6151071151071151, 0.6089226633581473, 0.6241883116883117, 0.5761538461538461]
  mean: 0.4959937379, std: 0.0967416874
Accuracy Intime: [0.7142857142857143, 1.0, 1.0, 1.0, 0.9230769230769231, 0.9285714285714286, 0.9642857142857143, 1.0, 1.0, 1.0, 0.8928571428571429, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9615384615, std: 0.0744838267
F1 In Time: [0.7147435897435896, 1.0, 1.0, 1.0, 0.9142857142857144, 0.9282051282051282, 0.9625668449197862, 1.0, 1.0, 1.0, 0.8976190476190476, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9611613550, std: 0.0744442330
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.6666666666666666, 0.5942028985507246, 0.7391304347826086, 0.782608695652174, 0.7101449275362319, 0.7391304347826086, 0.7101449275362319, 0.782608695652174, 0.6956521739130435, 0.7246376811594203, 0.7536231884057971, 0.7391304347826086, 0.7536231884057971, 0.8985507246376812, 0.7391304347826086]
  mean: 0.7352657005, std: 0.0629429854
F1 Score: [0.635858731071497, 0.5486709770114943, 0.6917218936669738, 0.7654331254331255, 0.7078150306807471, 0.6881987577639752, 0.6685825435825437, 0.7754267425320057, 0.6436823593073593, 0.6959266146913669, 0.7320181309836483, 0.7389557716382844, 0.7192908582563755, 0.9021384858098854, 0.7285539215686274]
  mean: 0.7094849296, std: 0.0751310612
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 0.9285714285714286, 0.9230769230769231, 0.9642857142857143, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 1.0, 0.9285714285714286, 1.0, 0.9642857142857143, 0.9230769230769231]
  mean: 0.9681318681, std: 0.0298731367
F1 In Time: [0.9641025641025641, 1.0, 1.0, 0.9266694090223502, 0.9248917748917749, 0.9641025641025641, 0.9641025641025641, 1.0, 1.0, 0.9580419580419581, 1.0, 0.9285714285714286, 1.0, 0.9641025641025641, 0.9248917748917749]
  mean: 0.9679651068, std: 0.0297583294
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.6323529411764706, 0.7205882352941176, 0.7058823529411765, 0.7205882352941176, 0.7058823529411765, 0.7391304347826086, 0.7391304347826086, 0.7681159420289855, 0.7681159420289855, 0.7681159420289855, 0.75, 0.6029411764705882, 0.6029411764705882, 0.8382352941176471, 0.7205882352941176]
  mean: 0.7188405797, std: 0.0621953894
F1 Score: [0.6394858272907054, 0.6495410504844468, 0.6431912681912682, 0.647948717948718, 0.6630781499202552, 0.7497126436781609, 0.7131052510148677, 0.7450484630823033, 0.7681029064349033, 0.7720418470418471, 0.754040042346494, 0.5767847971237803, 0.5475409836065575, 0.8396551724137931, 0.7034127916736612]
  mean: 0.6941793275, std: 0.0767512991
Accuracy Intime: [0.8571428571428571, 1.0, 1.0, 0.9230769230769231, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616]
  mean: 0.9730769231, std: 0.0406519150
F1 In Time: [0.8611673414304993, 1.0, 1.0, 0.9119047619047619, 1.0, 0.9641025641025641, 1.0, 1.0, 1.0, 1.0, 0.9328525641025641, 1.0, 1.0, 0.9450549450549451, 0.9625668449197861]
  mean: 0.9718432681, std: 0.0411184136
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.47058823529411764, 0.6029411764705882, 0.4852941176470588, 0.5147058823529411, 0.4411764705882353, 0.5362318840579711, 0.43478260869565216, 0.5072463768115942, 0.4492753623188406, 0.4492753623188406, 0.4264705882352941, 0.45588235294117646, 0.4852941176470588, 0.5147058823529411, 0.5882352941176471]
  mean: 0.4908070475, std: 0.0519117810
F1 Score: [0.3699507389162562, 0.5467364532019705, 0.4030763528539659, 0.44954574951330306, 0.35239085239085244, 0.46824405437850813, 0.30108390204737057, 0.4477083333333333, 0.39470716341292683, 0.4487628384687208, 0.35137782421313835, 0.3181818181818182, 0.384475182263058, 0.40818147062571686, 0.544960338445267]
  mean: 0.4126255381, std: 0.0703693606
Accuracy Intime: [0.9285714285714286, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9855311355, std: 0.0255847105
F1 In Time: [0.9258241758241759, 0.9686274509803922, 1.0, 1.0, 0.9625668449197861, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9258241758241759, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9855228432, std: 0.0261352414
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.4852941176470588, 0.47058823529411764, 0.47058823529411764, 0.47058823529411764, 0.47058823529411764, 0.45588235294117646, 0.5, 0.47058823529411764, 0.4117647058823529, 0.36764705882352944, 0.7205882352941176, 0.6470588235294118, 0.75, 0.8970588235294118, 0.7352941176470589]
  mean: 0.5549019608, std: 0.1488582718
F1 Score: [0.4147823629169022, 0.3767605633802817, 0.375, 0.3767605633802817, 0.3975409836065574, 0.4482750582750583, 0.45664016958134607, 0.3666083916083916, 0.38333333333333336, 0.3939393939393939, 0.7208151006183838, 0.6080459770114943, 0.7073133762788936, 0.8985221674876848, 0.6803635634303716]
  mean: 0.5069800670, std: 0.1643171391
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9950549451, std: 0.0126174393
F1 In Time: [1.0, 1.0, 1.0, 1.0, 1.0, 0.9641025641025641, 1.0, 1.0, 0.9686274509803922, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9955153343, std: 0.0114635054
--------------------------------------------------
Subject Number: 15
Accuracy Cross: [0.6176470588235294, 0.6323529411764706, 0.7205882352941176, 0.7205882352941176, 0.5882352941176471, 0.8382352941176471, 0.7941176470588235, 0.75, 0.8235294117647058, 0.8235294117647058, 0.6176470588235294, 0.5, 0.6323529411764706, 0.5588235294117647, 0.5588235294117647]
  mean: 0.6784313725, std: 0.1064346525
F1 Score: [0.6225423728813559, 0.6301181304571135, 0.7151585566390373, 0.7192280595813204, 0.5642518589381224, 0.8373389063044236, 0.7880925212760899, 0.7418597908253082, 0.8181140810820463, 0.8273809523809523, 0.5422077922077921, 0.3773809523809524, 0.5590909090909091, 0.477542372881356, 0.4699248120300752]
  mean: 0.6460154713, std: 0.1404766697
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 0.9615384615384616, 0.9642857142857143, 1.0, 0.9642857142857143, 1.0, 1.0]
  mean: 0.9827838828, std: 0.0184282216
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 0.9641025641025641, 0.9625668449197862, 1.0, 1.0, 0.9641025641025641, 0.9641025641025641, 0.9625668449197862, 1.0, 0.9641025641025642, 1.0, 1.0]
  mean: 0.9830431007, std: 0.0181338821
--------------------------------------------------
Subject Number: 16
Accuracy Cross: [0.7352941176470589, 0.6617647058823529, 0.7352941176470589, 0.7352941176470589, 0.7205882352941176, 0.7352941176470589, 0.7794117647058824, 0.8235294117647058, 0.75, 0.5588235294117647, 0.6764705882352942, 0.5294117647058824, 0.8235294117647058, 0.8382352941176471, 0.8529411764705882]
  mean: 0.7303921569, std: 0.0910762679
F1 Score: [0.71875, 0.6446581196581197, 0.7008622908622908, 0.7387928794178794, 0.7272196127849696, 0.7424731182795699, 0.7806972148328385, 0.8217220536260662, 0.754696394686907, 0.5104166666666666, 0.6678971183615147, 0.4993443754313319, 0.8161505161505163, 0.833170533170533, 0.8524720893141946]
  mean: 0.7206215322, std: 0.1023439486
Accuracy Intime: [0.9642857142857143, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 0.8846153846153846, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9804029304, std: 0.0331476534
F1 In Time: [0.9641025641025641, 0.9580419580419581, 1.0, 1.0, 1.0, 0.9641025641025641, 1.0, 1.0, 1.0, 0.8851252913752914, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9799962537, std: 0.0333003710
--------------------------------------------------
Subject Number: 17
Accuracy Cross: [0.8985507246376812, 0.7246376811594203, 0.8260869565217391, 0.7971014492753623, 0.8260869565217391, 0.6376811594202898, 0.5362318840579711, 0.5942028985507246, 0.6231884057971014, 0.4927536231884058, 0.6176470588235294, 0.6911764705882353, 0.6029411764705882, 0.7058823529411765, 0.6617647058823529]
  mean: 0.6823955669, std: 0.1110944811
F1 Score: [0.8991753028754926, 0.719811320754717, 0.8275708031805593, 0.7988766171920754, 0.8307308970099667, 0.6047479402318112, 0.4949810606060606, 0.5636363636363636, 0.6390232108317214, 0.4645593869731801, 0.5838815207780725, 0.6799062049062049, 0.5422054597701149, 0.6605011864445827, 0.6131084509275408]
  mean: 0.6615143817, std: 0.1258929438
Accuracy Intime: [0.9642857142857143, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616]
  mean: 0.9827838828, std: 0.0184282216
F1 In Time: [0.9625668449197861, 0.9580419580419581, 1.0, 0.9450549450549451, 1.0, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861]
  mean: 0.9812668377, std: 0.0204881119
--------------------------------------------------
Subject Number: 18
Accuracy Cross: [0.6666666666666666, 0.7681159420289855, 0.7101449275362319, 0.7391304347826086, 0.6956521739130435, 0.4264705882352941, 0.6176470588235294, 0.6029411764705882, 0.6470588235294118, 0.5294117647058824, 0.5147058823529411, 0.5735294117647058, 0.5147058823529411, 0.6470588235294118, 0.5147058823529411]
  mean: 0.6111963626, std: 0.0944583859
F1 Score: [0.6594524906736888, 0.7749828001375989, 0.6914956011730204, 0.7212422360248447, 0.6910774410774411, 0.48390151515151514, 0.6200713135495743, 0.5814699792960663, 0.5989550679205852, 0.5555555555555556, 0.4703210595659108, 0.5758595665882589, 0.48863636363636365, 0.6117889202995586, 0.4731379731379731]
  mean: 0.5998631923, std: 0.0922876667
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: [0.4117647058823529, 0.35294117647058826, 0.4411764705882353, 0.38235294117647056, 0.36764705882352944, 0.6470588235294118, 0.6911764705882353, 0.6911764705882353, 0.7205882352941176, 0.7058823529411765, 0.4411764705882353, 0.4411764705882353, 0.5294117647058824, 0.4411764705882353, 0.45588235294117646]
  mean: 0.5147058824, std: 0.1316429760
F1 Score: [0.3393939393939394, 0.32407407407407407, 0.36428571428571427, 0.34090909090909094, 0.31859154929577466, 0.647542372881356, 0.6861251192585526, 0.7192562020148227, 0.7314814814814814, 0.7127967133292757, 0.3206349206349206, 0.36793741109530587, 0.4714285714285714, 0.36153846153846153, 0.3984041331802526]
  mean: 0.4736266503, std: 0.1645642651
Accuracy Intime: [0.8214285714285714, 1.0, 0.9285714285714286, 1.0, 1.0, 0.8928571428571429, 1.0, 0.9642857142857143, 1.0, 1.0, 0.8928571428571429, 0.9642857142857143, 1.0, 1.0, 1.0]
  mean: 0.9642857143, std: 0.0537694752
F1 In Time: [0.8182692307692307, 1.0, 0.9267676767676768, 1.0, 1.0, 0.8926739926739926, 1.0, 0.9580419580419581, 1.0, 1.0, 0.8926739926739926, 0.9625668449197862, 1.0, 1.0, 1.0]
  mean: 0.9633995797, std: 0.0544638389
--------------------------------------------------
Subject Number: 20
Accuracy Cross: [0.7647058823529411, 0.7058823529411765, 0.5882352941176471, 0.5882352941176471, 0.7058823529411765, 0.7205882352941176, 0.7205882352941176, 0.7058823529411765, 0.6911764705882353, 0.7058823529411765, 0.6376811594202898, 0.782608695652174, 0.7246376811594203, 0.6521739130434783, 0.6956521739130435]
  mean: 0.6926541631, std: 0.0535694143
F1 Score: [0.7230769230769231, 0.6570850202429149, 0.5300547400718246, 0.5345126175160811, 0.6679100088611003, 0.6495410504844468, 0.647948717948718, 0.6326219512195121, 0.6160714285714286, 0.6418676289385672, 0.5885132058287796, 0.788340832675808, 0.7193062702496664, 0.6215942317916002, 0.6719280719280719]
  mean: 0.6460248466, std: 0.0651828061
Accuracy Intime: [0.8571428571428571, 1.0, 0.9642857142857143, 1.0, 0.8846153846153846, 0.8571428571428571, 1.0, 1.0, 0.9230769230769231, 0.8846153846153846, 0.8928571428571429, 1.0, 1.0, 0.9615384615384616, 0.9230769230769231]
  mean: 0.9432234432, std: 0.0548686893
F1 In Time: [0.8611673414304993, 1.0, 0.9625668449197861, 1.0, 0.8833333333333333, 0.8631410256410257, 1.0, 1.0, 0.8888888888888888, 0.8666666666666666, 0.8976190476190476, 1.0, 1.0, 0.9686274509803922, 0.9115384615384616]
  mean: 0.9402366041, std: 0.0570714655
--------------------------------------------------
Subject Number: 21
Accuracy Cross: [0.9117647058823529, 0.8088235294117647, 0.9117647058823529, 0.8676470588235294, 0.8823529411764706, 0.8382352941176471, 0.8970588235294118, 0.7941176470588235, 0.8382352941176471, 0.8235294117647058, 0.9852941176470589, 0.8529411764705882, 0.7647058823529411, 0.9852941176470589, 0.9705882352941176]
  mean: 0.8754901961, std: 0.0661746550
F1 Score: [0.9073588949749941, 0.8028561476837339, 0.9067139001349528, 0.8607476352170749, 0.882369337979094, 0.8342780026990553, 0.8945192307692308, 0.7801113360323886, 0.8322908313285219, 0.8154733456861116, 0.9839839839839839, 0.8494983277591973, 0.7352462352462352, 0.9839839839839839, 0.9721362229102166]
  mean: 0.8694378278, std: 0.0715697909
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 0.9642857142857143, 0.9230769230769231, 1.0, 1.0, 1.0, 0.9642857142857143, 1.0, 0.9615384615384616]
  mean: 0.9824175824, std: 0.0273587387
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.9142857142857144, 1.0, 1.0, 0.9625668449197862, 0.8809523809523809, 1.0, 1.0, 1.0, 0.9625668449197862, 1.0, 0.9580419580419581]
  mean: 0.9785609162, std: 0.0357656438
--------------------------------------------------
Subject Number: 22
Accuracy Cross: [0.45588235294117646, 0.5735294117647058, 0.5735294117647058, 0.5882352941176471, 0.5, 0.5652173913043478, 0.5217391304347826, 0.5362318840579711, 0.5217391304347826, 0.42028985507246375, 0.47058823529411764, 0.6764705882352942, 0.5588235294117647, 0.6617647058823529, 0.45588235294117646]
  mean: 0.5386615516, std: 0.0705079231
F1 Score: [0.4338198911429985, 0.5238743196437408, 0.5424937470065456, 0.5345126175160811, 0.45976744186046514, 0.5208333333333333, 0.4518633540372671, 0.4836228287841191, 0.4910376508737164, 0.3555672268907563, 0.44218072061875113, 0.6312532433834976, 0.5803571428571428, 0.6823556475730389, 0.47462406015037595]
  mean: 0.5072108817, std: 0.0790236823
Accuracy Intime: [0.8928571428571429, 1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 1.0, 1.0, 0.8846153846153846, 0.8928571428571429, 1.0, 1.0, 0.9615384615384616, 0.8846153846153846]
  mean: 0.9626373626, std: 0.0490192835
F1 In Time: [0.8923076923076922, 1.0, 1.0, 1.0, 0.9142857142857144, 1.0, 1.0, 1.0, 1.0, 0.8772727272727272, 0.8945498945498946, 1.0, 1.0, 0.9686274509803922, 0.8617216117216117]
  mean: 0.9605843394, std: 0.0528693453
--------------------------------------------------
Subject Number: 23
Accuracy Cross: [0.8695652173913043, 0.6666666666666666, 0.782608695652174, 0.8405797101449275, 0.6666666666666666, 0.6470588235294118, 0.38235294117647056, 0.47058823529411764, 0.5441176470588235, 0.45588235294117646, 0.5072463768115942, 0.5652173913043478, 0.5072463768115942, 0.5507246376811594, 0.4492753623188406]
  mean: 0.5937198068, std: 0.1428225953
F1 Score: [0.874949290060852, 0.6601181304571135, 0.7402807679305375, 0.825178727114211, 0.6703978779840849, 0.6343831556597515, 0.3308771929824561, 0.33662092624356776, 0.46671439386458646, 0.36628726287262875, 0.4545751633986928, 0.5144562334217507, 0.453125, 0.5021634615384616, 0.38177655677655675]
  mean: 0.5474602760, std: 0.1704389119
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 0.9230769230769231, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231]
  mean: 0.9873626374, std: 0.0267261242
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 0.9142857142857144, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9142857142857144]
  mean: 0.9861782662, std: 0.0295712682
--------------------------------------------------
Subject Number: 24
Accuracy Cross: [0.6470588235294118, 0.5735294117647058, 0.5735294117647058, 0.7058823529411765, 0.5147058823529411, 0.7205882352941176, 0.7058823529411765, 0.7058823529411765, 0.7205882352941176, 0.7058823529411765, 0.7794117647058824, 0.8235294117647058, 0.75, 0.7941176470588235, 0.8088235294117647]
  mean: 0.7019607843, std: 0.0874914177
F1 Score: [0.5955483188979063, 0.5305621019906734, 0.5610119047619048, 0.7043859649122808, 0.5032230506368437, 0.6451367781155015, 0.6255233494363929, 0.6220238095238095, 0.6367755569883229, 0.6287383855981417, 0.7928885630498533, 0.8298477384684281, 0.7373061720887808, 0.8060872624912034, 0.8176645545066599]
  mean: 0.6691149008, std: 0.1029762477
Accuracy Intime: [0.9642857142857143, 1.0, 1.0, 1.0, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9230769230769231]
  mean: 0.9853479853, std: 0.0262678485
F1 In Time: [0.9641025641025641, 1.0, 1.0, 1.0, 1.0, 0.930952380952381, 1.0, 1.0, 1.0, 1.0, 0.9641025641025642, 1.0, 1.0, 1.0, 0.9258241758241759]
  mean: 0.9856654457, std: 0.0255142923
--------------------------------------------------
Subject Number: 25
Accuracy Cross: [0.9855072463768116, 0.9420289855072463, 0.9855072463768116, 0.9855072463768116, 0.9855072463768116, 0.7352941176470589, 0.7205882352941176, 0.7352941176470589, 0.7941176470588235, 0.75, 0.7205882352941176, 0.7794117647058824, 0.6911764705882353, 0.6911764705882353, 0.7205882352941176]
  mean: 0.8148195510, std: 0.1178885593
F1 Score: [0.9846225535880708, 0.9436520376175549, 0.9846225535880708, 0.9846225535880708, 0.9846225535880708, 0.6917043740573152, 0.6647545612087933, 0.7033333333333334, 0.7790222287504897, 0.6961271102284011, 0.6925385934819897, 0.7863636363636364, 0.6757497987117552, 0.6643463113239485, 0.6925385934819897]
  mean: 0.7952413862, std: 0.1327537683
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, 0.9615384615384616]
  mean: 0.9974358974, std: 0.0095939933
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, 0.9580419580419581]
  mean: 0.9972027972, std: 0.0104661745
--------------------------------------------------
Subject Number: 26
Accuracy Cross: [0.6231884057971014, 0.7391304347826086, 0.5942028985507246, 0.7101449275362319, 0.7971014492753623, 0.5441176470588235, 0.4117647058823529, 0.45588235294117646, 0.6323529411764706, 0.3382352941176471, 0.6470588235294118, 0.5441176470588235, 0.5588235294117647, 0.7352941176470589, 0.8088235294117647]
  mean: 0.6093492469, std: 0.1335254574
F1 Score: [0.6294909951159952, 0.7500283762003133, 0.5857690902447936, 0.7162175838077167, 0.8096702317290553, 0.5278065072182719, 0.3868589743589743, 0.4247328356024008, 0.5631944444444444, 0.3109649122807018, 0.6466559302766199, 0.525357251444208, 0.5359684684684685, 0.7434605045492143, 0.8099376114081996]
  mean: 0.5977409145, std: 0.1469083408
Accuracy Intime: [0.8928571428571429, 1.0, 1.0, 0.9615384615384616, 0.8846153846153846, 1.0, 1.0, 0.9285714285714286, 0.7692307692307693, 1.0, 0.9642857142857143, 0.9285714285714286, 0.9285714285714286, 1.0, 0.9230769230769231]
  mean: 0.9454212454, std: 0.0618293969
F1 In Time: [0.8923076923076922, 1.0, 1.0, 0.9686274509803922, 0.8662464985994397, 1.0, 1.0, 0.9328525641025641, 0.7603715728715729, 1.0, 0.9641025641025641, 0.9160633484162897, 0.930952380952381, 1.0, 0.9142857142857144]
  mean: 0.9430539858, std: 0.0654258879
--------------------------------------------------
Subject Number: 27
Accuracy Cross: [0.8985507246376812, 0.7246376811594203, 0.8260869565217391, 0.7971014492753623, 0.8260869565217391, 0.6376811594202898, 0.5362318840579711, 0.5942028985507246, 0.6231884057971014, 0.4927536231884058, 0.6176470588235294, 0.6911764705882353, 0.6029411764705882, 0.7058823529411765, 0.6617647058823529]
  mean: 0.6823955669, std: 0.1110944811
F1 Score: [0.8991753028754926, 0.719811320754717, 0.8275708031805593, 0.7988766171920754, 0.8307308970099667, 0.6047479402318112, 0.4949810606060606, 0.5636363636363636, 0.6390232108317214, 0.4645593869731801, 0.5838815207780725, 0.6799062049062049, 0.5422054597701149, 0.6605011864445827, 0.6131084509275408]
  mean: 0.6615143817, std: 0.1258929438
Accuracy Intime: [0.9642857142857143, 0.9642857142857143, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616, 0.9642857142857143, 1.0, 1.0, 1.0, 0.9615384615384616]
  mean: 0.9827838828, std: 0.0184282216
F1 In Time: [0.9625668449197861, 0.9580419580419581, 1.0, 0.9450549450549451, 1.0, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861, 0.9641025641025641, 1.0, 1.0, 1.0, 0.9625668449197861]
  mean: 0.9812668377, std: 0.0204881119
--------------------------------------------------
Subject Number: 28
Accuracy Cross: [0.4264705882352941, 0.6029411764705882, 0.4852941176470588, 0.7058823529411765, 0.4852941176470588, 0.4411764705882353, 0.4411764705882353, 0.38235294117647056, 0.4411764705882353, 0.45588235294117646, 0.35294117647058826, 0.47058823529411764, 0.5147058823529411, 0.2647058823529412, 0.45588235294117646]
  mean: 0.4617647059, std: 0.0976659561
F1 Score: [0.3366442261707685, 0.5216209002035301, 0.4289592760180995, 0.6112601868415822, 0.37921917419668544, 0.34285714285714286, 0.3557692307692308, 0.3234437975817286, 0.3557692307692308, 0.3657407407407407, 0.26004728132387706, 0.3188405797101449, 0.4003647416413374, 0.20635347960694578, 0.3123977086743044]
  mean: 0.3679525131, std: 0.0948194025
Accuracy Intime: [0.9642857142857143, 1.0, 0.9642857142857143, 1.0, 0.8846153846153846, 1.0, 0.9642857142857143, 1.0, 1.0, 1.0, 0.8571428571428571, 0.9285714285714286, 1.0, 1.0, 1.0]
  mean: 0.9708791209, std: 0.0446691244
F1 In Time: [0.9686274509803922, 1.0, 0.9625668449197862, 1.0, 0.8866133866133866, 1.0, 0.9641025641025641, 1.0, 1.0, 1.0, 0.861904761904762, 0.9270833333333334, 1.0, 1.0, 1.0]
  mean: 0.9713932228, std: 0.0436978622
--------------------------------------------------
Subject Number: 29
Accuracy Cross: [0.6029411764705882, 0.5147058823529411, 0.4852941176470588, 0.6470588235294118, 0.5, 0.8235294117647058, 0.9264705882352942, 0.7647058823529411, 0.7647058823529411, 0.9264705882352942, 0.6956521739130435, 0.6956521739130435, 0.6231884057971014, 0.6811594202898551, 0.7101449275362319]
  mean: 0.6907786303, std: 0.1326617233
F1 Score: [0.573272792022792, 0.5504525201893623, 0.5296231546231547, 0.6199095022624435, 0.5072944297082228, 0.8125, 0.9291896144767899, 0.7230769230769231, 0.7230769230769231, 0.9300476947535772, 0.6318927488282327, 0.6398395721925134, 0.5927344433655795, 0.6328100674623768, 0.6406882591093117]
  mean: 0.6690939097, std: 0.1274472272
Accuracy Intime: [1.0, 1.0, 1.0, 0.9615384615384616, 1.0, 0.9642857142857143, 1.0, 1.0, 0.9615384615384616, 1.0, 0.9285714285714286, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9877289377, std: 0.0217216426
F1 In Time: [1.0, 1.0, 1.0, 0.9641025641025641, 1.0, 0.9686274509803922, 1.0, 1.0, 0.9641025641025641, 1.0, 0.9328525641025641, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9886456762, std: 0.0202261493
--------------------------------------------------
**************************************************
accuracy_cross_list: [0.6485649332196647, 0.6712986643932936, 0.7043762432509236, 0.7429951690821256, 0.623529411764706, 0.6023017902813298, 0.7558823529411764, 0.6852941176470587, 0.6235294117647059, 0.5301648195510089, 0.7352657004830918, 0.7188405797101449, 0.4908070474566638, 0.5549019607843138, 0.6784313725490195, 0.7303921568627452, 0.6823955669224212, 0.6111963626030122, 0.5147058823529412, 0.6926541631145212, 0.8754901960784313, 0.5386615515771527, 0.593719806763285, 0.7019607843137255, 0.8148195510088094, 0.6093492469451547, 0.6823955669224212, 0.46176470588235297, 0.6907786302926968]
f1_score_list: [0.6188799523498584, 0.6313413422152244, 0.6778203332278725, 0.7006332600614935, 0.5636683552986135, 0.5427170545980672, 0.712324504828686, 0.6426464386165037, 0.5957440397703685, 0.49599373785857354, 0.7094849295998605, 0.6941793274834508, 0.4126255381497471, 0.5069800669898916, 0.6460154712637904, 0.7206215322162264, 0.6615143817412309, 0.5998631922525303, 0.4736266503201062, 0.6460248466270296, 0.8694378277592519, 0.5072108817114553, 0.5474602760203501, 0.6691149007644469, 0.7952413861940995, 0.5977409144766253, 0.6615143817412309, 0.36795251314035665, 0.6690939096765469]
accuracy_intime_list: [0.9857142857142857, 0.9606227106227105, 0.9587912087912087, 0.9758241758241758, 0.9833333333333333, 0.9527472527472527, 0.9897435897435898, 0.9701465201465201, 0.9695970695970696, 0.9615384615384616, 0.9681318681318681, 0.9730769230769231, 0.9855311355311355, 0.995054945054945, 0.9827838827838827, 0.9804029304029304, 0.9827838827838828, 1.0, 0.9642857142857142, 0.9432234432234433, 0.9824175824175824, 0.9626373626373627, 0.9873626373626375, 0.9853479853479853, 0.9974358974358974, 0.9454212454212455, 0.9827838827838828, 0.9708791208791209, 0.9877289377289377]
f1_in_time_list: [0.986019536019536, 0.9537862627568511, 0.9609963402610461, 0.976194872665461, 0.9836019536019536, 0.9505427987045635, 0.9888111888111888, 0.9712907190848367, 0.9663611443023208, 0.9611613549848844, 0.9679651067886362, 0.9718432681010081, 0.9855228431699019, 0.9955153343388637, 0.9830431006901595, 0.9799962537462538, 0.9812668377374261, 1.0, 0.9633995797231092, 0.9402366040678733, 0.9785609162079751, 0.9605843394078689, 0.9861782661782662, 0.9856654456654456, 0.9972027972027973, 0.943053985774574, 0.9812668377374261, 0.9713932227902817, 0.9886456762192056]
**************************************************
Mean Accuracy: 0.6540161292
Mean F1: 0.6185335154
Std Accuracy: 0.0936803954
Std F1: 0.1066517209
Mean Accuracy (Intime): 0.9753568271
Std Accuracy (Intime): 0.0145586887
Mean F1 (Intime): 0.9744864340
Std F1 (Intime): 0.0153166330
ACC: 65.40±9.37
F1: 61.85±10.67
Intime: 97.54±1.46
F1 (Intime): 97.45±1.53
