Table 17 HSD groupings of classifiers after 2-factor ANOVA where classifier and sampling ratio are factors; groups are by performance in terms of AUC
From: Detecting web attacks using random undersampling and ensemble learners
Group a consists of: LightGBM | |
Group b consists of: Random Forest, XGBoost | |
Group bc consists of: Decision Tree | |
Group c consists of: CatBoost | |
Group d consists of: Naive Bayes | |
Group e consists of: Logistic Regression |