Table 69 Modes of XGBoost tuned hyperparameter values for experiments with the information theft dataset
From: IoT information theft prediction using ensemble feature selection
| Parameter name | Value |
|---|---|
| n_estimators | 100 |
| min_child_weight | 1 |
| max_depth | 8 |
| learning_rate | 0.30000 |
| gamma | None |