Table 18 HSD test groupings after ANOVA of AUC for the Classifier factor
From: Explainable machine learning models for Medicare fraud detection
Group a consists of: CatBoost, XGBoost | |
Group b consists of: Logistic Regression | |
Group c consists of: ET | |
Group d consists of: Random Forest | |
Group e consists of: LightGBM |