Table 11 HSD groupings of classifiers after 2-factor ANOVA where classifier and sampling ratio are factors with Brute Force web attacks; groups are by performance in terms of AUC
From: Investigating rarity in web attacks with ensemble learners
Group a consists of: Random Forest | |
Group ab consists of: Decision Tree | |
Group b consists of: XGBoost, LightGBM | |
Group c consists of: CatBoost | |
Group d consists of: Naive Bayes | |
Group e consists of: Logistic Regression |