Title | Attack detection in enterprise networks by machine learning methods |
Description | Compare CatBoost, LightGBM, SVM, and logistic regression in multi-class and binary classification task of identifying computer network attacks. |
Performance metric | AUC, CV balanced accuracy, balanced accuracy, F1, precision, recall |
Winner | CatBoost |
Reference | [37] |