A Comparative Study of Hyperparameter Optimization for CatBoost: Random Search, Optuna, and Successive Halving
This study aims to evaluate the effectiveness of three hyperparameter optimization approaches Random Search, Successive Halving, and Optuna in the CatBoost algorithm for modeling individual income using the 2024 SAKERNAS data. Model performance was assessed using RMSE, MAE, and R-squared, complement...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Politeknik Negeri Batam
2026-04-01
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| Col·lecció: | Journal of Applied Informatics and Computing |
| Matèries: | |
| Accés en línia: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11831 |
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