Skip to main content

Table 96 Modes of XGBoost tuned hyperparameter values for experiments with the keylogging dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name Value
max_depth 19
min_child_weight 0.01000
reg_lambda 0.10000
subsample 0.58197
  1. Parameter values for classifier yielding best results in terms of AUC