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Cyber-security
| 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] |
