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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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Politeknik Negeri Batam
2026-02-01
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| Serie: | Journal of Applied Informatics and Computing |
| Soggetti: | |
| Accesso online: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11928 |
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