Skip to main content
Journal of Big Data

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
Back to article page