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Table 8 Results for classification of Brute Force web attacks and no sampling applied; classifiers: RF is Random Forest, CB is CatBoost, NB is Naive Bayes, LR is Logistic Regression, DT is Decision Tree, XGB is XGBoost, LGB is LightGBM; AUC stands for Area Under the Receiver Operating Characteristic Curve; SD stands for standard deviation

From: Investigating rarity in web attacks with ensemble learners

Classifier

AUC

SD AUC

NB

0.71786

0.02205

RF

0.60966

0.02465

DT

0.6081

0.01541

CB

0.60474

0.0237

XGB

0.59958

0.01578

LGB

0.52347

0.04591

LR

0.5

0.0

  1. Bold value indicates highest score