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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