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Table 19 Mean performance of CatBoost, LightGBM and CategoricalNB in terms of AUC and F1-score on a one-feature dataset of Destination_Port only

From: Detecting cybersecurity attacks across different network features and learners

Classifier

AUC

SD AUC

F1-Score

SD F1

CatBoost

0.9073306

0.0002258

0.7357801

0.0003923

LightGBM

0.9073228

0.0002276

0.7357771

0.0003934

CNB

0.9073425

0.0002269

0.7357834

0.0003924

  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