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Journal of Big Data

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
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