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Table 15 Results for the logistic regression classifier

From: Threshold optimization and random undersampling for imbalanced credit card data

Technique

Threshold

TPR

FPR

FNR

TNR

F-meas

G-mean

MCC

Precision

F-meas

0.0012

0.9193

0.0699

0.0807

0.9301

0.0438

0.9245

0.1375

0.0225

F-meas NC

0.0921

0.7746

0.0004

0.2254

0.9996

0.7778

0.8797

0.7778

0.7827

G-mean

0.0011

0.9208

0.0759

0.0792

0.9241

0.0404

0.9223

0.1315

0.0206

G-mean NC

0.0025

0.8915

0.0239

0.1085

0.9761

0.1199

0.9327

0.2343

0.0646

MCC

0.0011

0.9208

0.0760

0.0792

0.9240

0.0403

0.9223

0.1314

0.0206

MCC NC

0.0029

0.8846

0.0196

0.1154

0.9804

0.1433

0.9311

0.2575

0.0787

Precision

0.0012

0.9193

0.0699

0.0807

0.9301

0.0438

0.9245

0.1375

0.0225

Precision NC

1.0000

0.1833

0.0000

0.8167

1.0000

0.3087

0.4267

0.4261

0.9988

C

0.0017

0.9043

0.0398

0.0957

0.9602

0.0729

0.9317

0.1807

0.0380

D

0.5000

0.6178

0.0002

0.3822

0.9998

0.7219

0.7853

0.7329

0.8721