Skip to main content

Table 22 Mean performance of CatBoost and LightGBM in terms of AUC and F1-score on datasets with features from feature group 3

From: Detecting cybersecurity attacks across different network features and learners

Classifier Feature group 3
AUC SD AUC F1 SD F1
CatBoost 0.94010 0.01376 0.92074 0.01270
LightGBM 0.96722 0.00038 0.95585 0.00126
  1. best metrics are highlighted in italics; SD AUC is the standard deviation of AUC and SD F1 is the standard deviation of the F1-score