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Table 11 Results for the CatBoost depth 5 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

0.0681

0.8819

0.0053

0.1181

0.9947

0.3856

0.9365

0.4641

0.2533

F-meas NC

0.1711

0.8685

0.0018

0.1315

0.9982

0.5979

0.9310

0.6289

0.4584

G-mean

0.0333

0.8977

0.0132

0.1023

0.9868

0.2238

0.9410

0.3316

0.1323

G-mean NC

0.0734

0.8801

0.0048

0.1199

0.9952

0.4054

0.9358

0.4795

0.2699

MCC

0.0333

0.8977

0.0132

0.1023

0.9868

0.2238

0.9410

0.3316

0.1323

MCC NC

0.0734

0.8801

0.0048

0.1199

0.9952

0.4054

0.9358

0.4795

0.2699

Precision

0.0681

0.8819

0.0053

0.1181

0.9947

0.3856

0.9365

0.4641

0.2533

Precision NC

0.4621

0.8480

0.0009

0.1520

0.9991

0.7224

0.9202

0.7336

0.6446

C

0.0357

0.8923

0.0091

0.1077

0.9909

0.2517

0.9402

0.3591

0.1469

D

0.5000

0.8526

0.0007

0.1474

0.9993

0.7560

0.9229

0.7610

0.6812