LR		tfv
Fold_:0
Accuracy = 0.9896009946874647
roc_auc = 0.8889169346336818
f_score = 0.8402777777777778
recall = 1.0
precision = 0.7806451612903226

LR		tfv
Fold_:1
Accuracy = 0.9897140273539052
roc_auc = 0.8986228554983319
f_score = 0.8455008488964346
recall = 1.0
precision = 0.8006430868167203

LR		tfv
Fold_:2
Accuracy = 0.9909563644585123
roc_auc = 0.9082716086706776
f_score = 0.8639455782312925
recall = 1.0
precision = 0.8193548387096774

LR		tfv
Fold_:3
Accuracy = 0.9881302283517974
roc_auc = 0.8741663391480484
f_score = 0.8161120840630474
recall = 1.0
precision = 0.7516129032258064

LR		tfv
Fold_:4
Accuracy = 0.9892606827944834
roc_auc = 0.8856323880642137
f_score = 0.8347826086956522
recall = 1.0
precision = 0.7741935483870968

LR		CV
Fold_:0
Accuracy = 0.9890358313552616
roc_auc = 0.8948414302826028
f_score = 0.835314091680815
recall = 1.0
precision = 0.7935483870967742

LR		CV
Fold_:1
Accuracy = 0.988357635356618
roc_auc = 0.9041165165427605
f_score = 0.8308702791461412
recall = 1.0
precision = 0.8135048231511254

LR		CV
Fold_:2
Accuracy = 0.9884693646846032
roc_auc = 0.9023199655349639
f_score = 0.8311258278145696
recall = 1.0
precision = 0.8096774193548387

LR		CV
Fold_:3
Accuracy = 0.9880171829075288
roc_auc = 0.8943140248511049
f_score = 0.822742474916388
recall = 1.0
precision = 0.7935483870967742

LR		CV
Fold_:4
Accuracy = 0.988808501017409
roc_auc = 0.9024956918704838
f_score = 0.8352745424292847
recall = 1.0
precision = 0.8096774193548387

NB		tfv
Fold_:0
Accuracy = 0.9662032327342602
roc_auc = 0.5177419354838709
f_score = 0.06853582554517135
recall = 1.0
precision = 0.035483870967741936

NB		tfv
Fold_:1
Accuracy = 0.965977167401379
roc_auc = 0.5160771704180064
f_score = 0.06230529595015576
recall = 1.0
precision = 0.03215434083601286

NB		tfv
Fold_:2
Accuracy = 0.9656341849423469
roc_auc = 0.5112317471354717
f_score = 0.0440251572327044
recall = 1.0
precision = 0.02258064516129032

NB		tfv
Fold_:3
Accuracy = 0.9652950486095411
roc_auc = 0.5048387096774194
f_score = 0.019169329073482427
recall = 1.0
precision = 0.00967741935483871

NB		tfv
Fold_:4
Accuracy = 0.9655211394980783
roc_auc = 0.5080645161290323
f_score = 0.031746031746031744
recall = 1.0
precision = 0.016129032258064516

NB		CV
Fold_:0
Accuracy = 0.9828190347010286
roc_auc = 0.8993918313829365
f_score = 0.7675840978593272
recall = 1.0
precision = 0.8096774193548387

NB		CV
Fold_:1
Accuracy = 0.9830451000339098
roc_auc = 0.898265187426357
f_score = 0.7699386503067486
recall = 1.0
precision = 0.8070739549839229

NB		CV
Fold_:2
Accuracy = 0.9843997286909337
roc_auc = 0.923526166218218
f_score = 0.7940298507462686
recall = 1.0
precision = 0.8580645161290322

NB		CV
Fold_:3
Accuracy = 0.9846258195794709
roc_auc = 0.9081000393022342
f_score = 0.7901234567901234
recall = 1.0
precision = 0.8258064516129032

NB		CV
Fold_:4
Accuracy = 0.983495365136785
roc_auc = 0.9277205459987302
f_score = 0.7865497076023392
recall = 1.0
precision = 0.867741935483871

SVM		tfv
Fold_:0
Accuracy = 0.9911834520176331
roc_auc = 0.9021715719430033
f_score = 0.8650519031141869
recall = 1.0
precision = 0.8064516129032258

SVM		tfv
Fold_:1
Accuracy = 0.9903922233525488
roc_auc = 0.8989743081693723
f_score = 0.8542024013722127
recall = 1.0
precision = 0.8006430868167203

SVM		tfv
Fold_:2
Accuracy = 0.9890345919059462
roc_auc = 0.9010585149801976
f_score = 0.8375209380234505
recall = 1.0
precision = 0.8064516129032258

SVM		tfv
Fold_:3
Accuracy = 0.9911824553470495
roc_auc = 0.923932037367355
f_score = 0.8712871287128713
recall = 1.0
precision = 0.8516129032258064

SVM		tfv
Fold_:4
Accuracy = 0.9906172281257065
roc_auc = 0.9065415545545242
f_score = 0.8590831918505942
recall = 1.0
precision = 0.8161290322580645

SVM		CV
Fold_:0
Accuracy = 0.987792472024415
roc_auc = 0.8960779313337572
f_score = 0.8211920529801324
recall = 1.0
precision = 0.797427652733119

SVM		CV
Fold_:1
Accuracy = 0.9898270600203459
roc_auc = 0.9030230835792584
f_score = 0.8479729729729729
recall = 1.0
precision = 0.8096774193548387

SVM		CV
Fold_:2
Accuracy = 0.9872258647976486
roc_auc = 0.9001213078574235
f_score = 0.8156606851549756
recall = 1.0
precision = 0.8064516129032258

SVM		CV
Fold_:3
Accuracy = 0.988808501017409
roc_auc = 0.9009413640898509
f_score = 0.8347245409015024
recall = 1.0
precision = 0.8064516129032258

SVM		CV
Fold_:4
Accuracy = 0.988808501017409
roc_auc = 0.9180389696768146
f_score = 0.8405797101449275
recall = 1.0
precision = 0.8419354838709677

DT		tfv
Fold_:0
Accuracy = 0.9856448513620436
roc_auc = 0.8915300381262588
f_score = 0.7941653160453809
recall = 1.0
precision = 0.7903225806451613

DT		tfv
Fold_:1
Accuracy = 0.9846275573640783
roc_auc = 0.8820446860958843
f_score = 0.7792207792207793
recall = 1.0
precision = 0.7717041800643086

DT		tfv
Fold_:2
Accuracy = 0.9843997286909337
roc_auc = 0.876896332799226
f_score = 0.7737704918032786
recall = 1.0
precision = 0.7612903225806451

DT		tfv
Fold_:3
Accuracy = 0.9855301831336197
roc_auc = 0.8852537261541251
f_score = 0.7901639344262296
recall = 1.0
precision = 0.7774193548387097

DT		tfv
Fold_:4
Accuracy = 0.9851910468008139
roc_auc = 0.8695347220122743
f_score = 0.7790893760539629
recall = 1.0
precision = 0.7451612903225806

DT		CV
Fold_:0
Accuracy = 0.9870012433593308
roc_auc = 0.8829068532800296
f_score = 0.8060708263069141
recall = 1.0
precision = 0.7709677419354839

DT		CV
Fold_:1
Accuracy = 0.9871142760257714
roc_auc = 0.8879807706795807
f_score = 0.81
recall = 1.0
precision = 0.7813504823151125

DT		CV
Fold_:2
Accuracy = 0.9865475921320371
roc_auc = 0.8919982162832178
f_score = 0.8045977011494253
recall = 1.0
precision = 0.7903225806451613

DT		CV
Fold_:3
Accuracy = 0.9858693194664255
roc_auc = 0.8900924358315445
f_score = 0.7960848287112561
recall = 1.0
precision = 0.7870967741935484

DT		CV
Fold_:4
Accuracy = 0.9858693194664255
roc_auc = 0.880766469147746
f_score = 0.7920133111480865
recall = 1.0
precision = 0.7677419354838709

RF		tfv
Fold_:0
Accuracy = 0.9900531253532271
roc_auc = 0.8689448586229959
f_score = 0.838827838827839
recall = 1.0
precision = 0.7387096774193549

RF		tfv
Fold_:1
Accuracy = 0.9902791906861083
roc_auc = 0.8865225999511809
f_score = 0.8485915492957746
recall = 1.0
precision = 0.77491961414791

RF		tfv
Fold_:2
Accuracy = 0.9905041826814379
roc_auc = 0.8909397013030201
f_score = 0.8526315789473683
recall = 1.0
precision = 0.7838709677419354

RF		tfv
Fold_:3
Accuracy = 0.9910694099027809
roc_auc = 0.8958955618707862
f_score = 0.8616462346760071
recall = 1.0
precision = 0.7935483870967742

RF		tfv
Fold_:4
Accuracy = 0.9901650463486321
roc_auc = 0.8861009916256009
f_score = 0.8465608465608466
recall = 1.0
precision = 0.7741935483870968

RF		CV
Fold_:0
Accuracy = 0.9898270600203459
roc_auc = 0.8781537293073415
f_score = 0.8392857142857143
recall = 1.0
precision = 0.7580645161290323

RF		CV
Fold_:1
Accuracy = 0.9900531253532271
roc_auc = 0.8879545906574614
f_score = 0.8461538461538461
recall = 1.0
precision = 0.7781350482315113

RF		CV
Fold_:2
Accuracy = 0.9919737734569297
roc_auc = 0.9087987876772379
f_score = 0.8773747841105353
recall = 1.0
precision = 0.8193548387096774

RF		CV
Fold_:3
Accuracy = 0.9900520009043635
roc_auc = 0.8751621217159959
f_score = 0.8411552346570397
recall = 1.0
precision = 0.7516129032258064

RF		CV
Fold_:4
Accuracy = 0.9891476373502148
roc_auc = 0.8684762070320766
f_score = 0.8267148014440434
recall = 1.0
precision = 0.7387096774193549

NN		tfv
Fold_:0
Accuracy = 0.9897140273539052
roc_auc = 0.8889755032174935
f_score = 0.8417391304347827
recall = 1.0
precision = 0.7806451612903226

NN		tfv
Fold_:1
Accuracy = 0.9901661580196677
roc_auc = 0.9035045820689073
f_score = 0.8527918781725888
recall = 1.0
precision = 0.8102893890675241

NN		tfv
Fold_:2
Accuracy = 0.9906172281257065
roc_auc = 0.9018785712126249
f_score = 0.8576329331046311
recall = 1.0
precision = 0.8064516129032258

NN		tfv
Fold_:3
Accuracy = 0.9898259100158263
roc_auc = 0.9076858542189437
f_score = 0.8494983277591973
recall = 1.0
precision = 0.8193548387096774

NN		tfv
Fold_:4
Accuracy = 0.9910694099027809
roc_auc = 0.9254277897028147
f_score = 0.870279146141215
recall = 1.0
precision = 0.8548387096774194

NN		CV
Fold_:0
Accuracy = 0.9903922233525488
roc_auc = 0.9129165825390178
f_score = 0.858569051580699
recall = 1.0
precision = 0.8295819935691319

NN		CV
Fold_:1
Accuracy = 0.9880185373572963
roc_auc = 0.911411994090241
f_score = 0.8290322580645161
recall = 1.0
precision = 0.8290322580645161

NN		CV
Fold_:2
Accuracy = 0.9877910920189916
roc_auc = 0.9221747740121534
f_score = 0.8301886792452831
recall = 1.0
precision = 0.8516129032258064

NN		CV
Fold_:3
Accuracy = 0.989373728238752
roc_auc = 0.8965712579738186
f_score = 0.8401360544217688
recall = 1.0
precision = 0.7967741935483871

NN		CV
Fold_:4
Accuracy = 0.9891476373502148
roc_auc = 0.9042257459866373
f_score = 0.84
recall = 1.0
precision = 0.8129032258064516

