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Table 17 Results for the XGBoost depth 1 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

0.0010

0.9161

0.0476

0.0839

0.9524

0.0628

0.9339

0.1675

0.0325

F-meas NC

0.4605

0.7739

0.0002

0.2261

0.9998

0.8286

0.8792

0.8315

0.8961

G-mean

0.0009

0.9189

0.0527

0.0811

0.9473

0.0573

0.9329

0.1595

0.0296

G-mean NC

0.0015

0.9045

0.0315

0.0955

0.9685

0.0996

0.9357

0.2117

0.0531

MCC

0.0009

0.9189

0.0530

0.0811

0.9470

0.0571

0.9327

0.1592

0.0295

MCC NC

0.0016

0.9031

0.0300

0.0969

0.9700

0.1071

0.9357

0.2194

0.0576

Precision

0.0010

0.9161

0.0476

0.0839

0.9524

0.0628

0.9339

0.1675

0.0325

Precision NC

0.9418

0.3137

0.0000

0.6863

1.0000

0.4698

0.5552

0.5500

0.9830

C

0.0017

0.8990

0.0229

0.1010

0.9771

0.1196

0.9371

0.2364

0.0641

D

0.5000

0.7700

0.0002

0.2300

0.9998

0.8238

0.8771

0.8260

0.8877