How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration
Hyperparameter optimization (HPO) for Random Forest faces a specific difficulty in tuning the number of trees: the predictive score typically improves monotonically with ensemble size, so standard methods such as Tree-structured Parzen Estimator (TPE) and Hyperband require a predefined search range and often drive the estimate toward its right boundary. Early-stopping strategies avoid fixing such a range, but can be sensitive to score noise and prone to premature stopping. To address this, we propose an integrated triplet-based plateau-search algorithm that removes the number of trees from the direct TPE search space and still exploits information accumulated across HPO trials. The method...
| Authors | Vadim Porvatov, Andrey Dukhovny, Andrey Lange |
|---|---|
| Primary category | cs.LG |
| Published | 2 June 2026 |
| Last updated at source | 25 June 2026 |
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