Table 2 XGBoost classifier hyper-parameters
From: Detecting web attacks using random undersampling and ensemble learners
Parameter / Value | Comment |
|---|---|
Objective = ’binary logistic’ | Specify objective function for binary classification |
n jobs = 8 | Take advantage of parallel processing functionality |
n estimators = 4 | Prevent overfitting |
n max depth = 5 | Prevent overfitting |