Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach

Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach

Heart disease remains a leading cause of mortality worldwide, necessitating the development of accurate predictive models for early diagnosis and intervention. This study investigates the effectiveness of ensemble learning approaches, particularly Voting and Stacking classifiers, in comparison to tr...

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Bibliographic Details
Main Author:	Gregorius Airlangga
Format:	Article
Language:	English
Published:	LPPM Universitas Mohammad Husni Thamrin 2025-03-01
Series:	Jurnal Teknologi Informatika & Komputer
Online Access:	https://journal.thamrin.ac.id/index.php/jtik/article/view/2584
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