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Table 78 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

48

min_child_weight

0.01000

reg_lambda

0

subsample

0.64976

  1. Parameter values for classifier yielding best results in terms of AUPRC