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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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Principais autores: Yehezkiel E.A Parapak, Robet Robet, Jackri Hendrik
Format: Artigo
Sprog:Indonésio
Udgivet: Indonesian Society of Applied Science (ISAS) 2025-12-01
Serier:Journal of Applied Computer Science and Technology
Fag:
Heart Disease
SMOTE
Extra Tress
Bagging
Boosting
Online adgang:https://journal.isas.or.id/index.php/JACOST/article/view/1305
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