Table 14 Overall Model Performance Metrics.

From: Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection

Model

Accuracy

AUC

Logistic Regression

0.790991

0.804532

Random Forest

0.985303

0.890825

XGBoost

0.985395

0.918572

LightGBM

0.980994

0.920371

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