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Table 89 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
max_depth 18
min_child_weight 1
reg_lambda 0.10000
subsample 0.77026
  1. Parameter values for classifier yielding best results in terms of AUPRC