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Table 7 Results for classification with no sampling; classifiers: NB is Naive Bayes, RF is Random Forest, DT is Decision Tree, XGB is XGBoost, LGB is LightGBM, CB is CatBoost, LR is Logistic Regression; AUC stands for Area Under the Receiver Operating Characteristic Curve; SD stands for standard deviation reported for every metric; AUPRC stands for Area under the Precision-Recall Curve

From: Detecting web attacks using random undersampling and ensemble learners

Classifier

AUC

SD AUC

AUPRC

SD AUPRC

NB

0.72496

0.009

0.10793

0.04958

RF

0.64003

0.01826

0.37562

0.05405

DT

0.64708

0.01525

0.39216

0.03371

XGB

0.62339

0.01157

0.25387

0.02347

LGB

0.50233

0.00562

0.0023

0.00522

CB

0.62759

0.0195

0.322

0.05891

LR

0.5

0.0

0.00417

0.00069