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Table 87 Modes of XGBoost tuned hyperparameter values for experiments with the data exfiltration dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name Value
n_estimators 50
min_child_weight 3
max_depth None
learning_rate 0.30000
gamma None
  1. “None” value indicates default value of hyperparameter is optimal; parameter values for classifier yielding best results in terms of AUC