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 |