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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