From: Explainable machine learning models for Medicare fraud detection
Group a consists of: CatBoost | |
Group b consists of: XGBoost | |
Group c consists of: Random Forest | |
Group d consists of: ET | |
Group e consists of: LightGBM | |
Group f consists of: Logistic Regression |