Research Article
Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier
Table 3
Hyperparameter optimization results.
| Algorithm | Hyperparameter | Explanation | Optimal value/function |
| AdaBoost | Number of estimators | Number of trees | 0.5 | Learning rate | It determines to what extent the newly acquired information will override the old information | 0.75 | Boosting algorithm | Updates base estimator’s weight with probability estimates or classification results | SAMME.R | Regression loss function | Linear/square/exponential | Exponential |
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