Table 21 HSD test groupings after ANOVA of AUPRC for the Classifier factor, for Part D Scenario Two
From: Data reduction techniques for highly imbalanced medicare Big Data
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 |