Table 3 The model parameters in the RF.
From: Evaluation of liquefaction potential in central Taiwan using random forest method
Number of variables to sample | All |
|---|---|
Surrogate splits | On |
Pruning | Off |
Splitting criterion | MSE |
Type | Regression |
Quadratic error tolerance | 10− 6 |
Minimum parent size | 10 |
Minimum leaf size | 1 |
Number of ensemble learning cycles | Bayesian optimization |
Learning rate | Bayesian optimization |
Maximum number of splits | Bayesian optimization |
