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Table 20 Mean performance of CatBoost and LightGBM in terms of AUC and F1-score on datasets with features from feature group 1

From: Detecting cybersecurity attacks across different network features and learners

Classifier Feature group 1
AUC SD AUC F1 SD F1
CatBoost 0.95306 0.00360 0.93301 0.00327
LightGBM 0.96694 0.00107 0.95880 0.00066
  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