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Table 95 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
31
min_child_weight
0.01000
reg_lambda
10
subsample
0.61210
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