From: Detecting cybersecurity attacks across different network features and learners
Classifier | Feature group 4A | |||
---|---|---|---|---|
AUC | SD AUC | F1 | SD F1 | |
CatBoost | 0.62869 | 0.00346 | 0.40433 | 0.00786 |
LightGBM | 0.62282 | 0.00243 | 0.38899 | 0.00566 |
Decision Tree | 0.64309 | 0.00031 | 0.42947 | 0.00059 |
Logistic Regression | 0.50000 | 0.00000 | 0.00000 | 0.00000 |
Naive Bayes | 0.50000 | 0.00000 | 0.00000 | 0.00000 |
Random Forest | 0.65889 | 0.00030 | 0.46665 | 0.00061 |
XGBoost | 0.64208 | 0.00030 | 0.42912 | 0.00065 |