From: Investigating the effectiveness of one-class and binary classification for fraud detection
Classifier
AUC
AUPRC
CatBoost
0.9751
0.8567
ET
0.9731
0.8097
Logistic Regression
0.9794
0.7490
Random Forest
0.9620
0.8069
XGBoost
0.9786
0.8549