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Table 21 Mean performance of CatBoost and LightGBM in terms of AUC and F1-score on datasets with features from feature group 2

From: Detecting cybersecurity attacks across different network features and learners

Classifier Feature group 2
AUC SD AUC F1 SD F1
CatBoost 0.94956 0.00167 0.92466 0.00308
LightGBM 0.96728 0.00118 0.95681 0.00104
  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