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Table 86 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 100
min_child_weight 3
max_depth 7
learning_rate 0.30000
gamma 1.90000
  1. Parameter values for classifier yielding best results in terms of AUPRC