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 |