BAYESIAN OPTIMIZATION FOR TUNING HYPERPARAMETRS OF MACHINE LEARNING MODELS: A PERFORMANCE ANALYSIS IN XGBOOST
The performance of machine learning models depends on the selection and tuning of hyperparameters. As a widely used gradient boosting method, XGBoost relies on optimal hyperparameter configurations to balance model complexity, prevent overfitting, and improve generalization. Especially in high-dime...
Sábháilte in:
| Príomhchruthaitheoirí: | , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
Khmelnytskyi National University
2025-03-01
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| Sraith: | Компютерні системи та інформаційні технології |
| Ábhair: | |
| Rochtain ar líne: | https://csitjournal.khmnu.edu.ua/index.php/csit/article/view/372 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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