Application of Bagging and Boosting Methods for Heart Disease Classification
Cardiovascular disease remains a primary contributor to global mortality, underscoring the urgent need for accurate and early diagnostic tools. This study aims to develop a robust classification model for heart disease by conducting a comparative analysis of six ensemble machine learning algorithms...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Indonésio |
| 出版事項: |
Indonesian Society of Applied Science (ISAS)
2025-12-01
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| シリーズ: | Journal of Applied Computer Science and Technology |
| 主題: | |
| オンライン･アクセス: | https://journal.isas.or.id/index.php/JACOST/article/view/1305 |
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