Table 20 HSD groupings of classifiers after 2-factor ANOVA where classifier and sampling ratio are factors; groups are by performance in terms of AUPRC
From: Detecting web attacks using random undersampling and ensemble learners
Group a consists of: LightGBM | |
Group ab consists of: Random Forest | |
Group bc consists of: XGBoost | |
Group c consists of: Decision Tree | |
Group d consists of: CatBoost | |
Group e consists of: Naive Bayes | |
Group f consists of: Logistic Regression |