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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