Hyperparameter Optimization of Ensemble Learning for Heart Disease Prediction using Patient Data
This study evaluates the impact of hyperparameter optimization on the performance of four machine learning algorithms—Extra Trees, XGBoost, Random Forest, and AdaBoost—in heart disease prediction. The results show that hyperparameter tuning significantly improves model performance for three out of t...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Indonésio |
| Argitaratua: |
Islamic University of Indragiri
2026-03-01
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| Saila: | Sistemasi: Jurnal Sistem Informasi |
| Gaiak: | |
| Sarrera elektronikoa: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/6006 |
| Etiketak: |
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