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Table 22 Results for the extremely randomized trees depth 8 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

0.1126

0.9317

0.0788

0.0683

0.9212

0.0399

0.9263

0.1312

0.0204

F-meas NC

0.1663

0.9035

0.0339

0.0965

0.9661

0.0926

0.9341

0.2033

0.0492

G-mean

0.1066

0.9352

0.0898

0.0648

0.9102

0.0352

0.9224

0.1225

0.0179

G-mean NC

0.1289

0.9214

0.0589

0.0786

0.9411

0.0534

0.9310

0.1530

0.0276

MCC

0.1062

0.9356

0.0907

0.0644

0.9093

0.0349

0.9222

0.1220

0.0178

MCC NC

0.1317

0.9201

0.0563

0.0799

0.9437

0.0563

0.9317

0.1570

0.0291

Precision

0.1129

0.9313

0.0784

0.0687

0.9216

0.0400

0.9263

0.1315

0.0205

Precision NC

0.3501

0.8591

0.0068

0.1409

0.9932

0.3814

0.9235

0.4580

0.2838

C

0.2500

0.8789

0.0129

0.1211

0.9871

0.1913

0.9313

0.3042

0.1076

D

0.5000

0.8415

0.0009

0.1585

0.9991

0.7138

0.9167

0.7222

0.6223