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Table 23 Mean performance of CatBoost and LightGBM in terms of AUC and F1-score on datasets with features from feature group 4

From: Detecting cybersecurity attacks across different network features and learners

Classifier Feature group 4
AUC SD AUC F1 SD F1
CatBoost 0.94169 0.00056 0.91140 0.00058
LightGBM 0.94208 0.00046 0.90989 0.00085
  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