Improving the Accuracy of Obesity Classification Using a Stacking Classifier on Imbalanced Data with SMOTE

Overweight continues to be a prevalent public health problem related to lifestyle behavior, eating behaviour and physical activity. The aim of this work is to develop a generalized and robust machine learning model having a high accuracy for categorizing obesity-level. The study applies to the Obesi...

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Autors principals:	Sifa Sari, M.Arief Soeleman, Mamay Maida, Hestiana Putri Novitasari
Format:	Artigo
Idioma:	Inglês
Publicat:	Politeknik Negeri Batam 2026-02-01
Col·lecció:	Journal of Applied Informatics and Computing
Matèries:	klasifikasi obesitas machine learning stacking classifier smote tuning hyperparameter
Accés en línia:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11928
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