On the Robust Random Forest Model with Expectile Learning for Multilevel Classification of Obesity Risk
Accurate obesity risk classification is often hindered by the asymmetric and heteroscedastic nature of health data, where traditional mean-based machine learning models fail to capture critical distribution tails. This study addresses this gap by proposing a robust Expectile Random Forest (ERF) mode...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2026-06-01
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| Sarja: | Big Data and Cognitive Computing |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2504-2289/10/6/194 |
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