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Table 5 Supervised ranking classifier XGBoost initialization options

From: Detecting cybersecurity attacks across different network features and learners

Parameter/Value Comment
objective \(=\) ’binary_logistic’ Specify binary classification
n_jobs \(= 8\) Take advantage of parallel processing functionality
n_estimators \(= 4\) Prevent overfitting
max_depth \(= 5\) Limit maximum number of features ranked to 32