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Journal of Big Data

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
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