Comparison of LightGBM and CatBoost Algorithms for Diabetes Prediction Based on Clinical Data
Diabetes Mellitus presents a global health challenge necessitating accurate early detection to prevent fatal complications. However, clinical data often exhibit imbalanced class distributions, hindering standard prediction models from effectively detecting positive patients. This study aims to compa...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Politeknik Negeri Batam
2026-02-01
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| Schriftenreihe: | Journal of Applied Informatics and Computing |
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| Online-Zugang: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/12179 |
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