Random Forest Algorithm for Toddler Nutritional Status Classification Website
Accurate data processing is essential for classifying toddler nutritional status on a website platform. The Random Forest algorithm is particularly effective in this context due to its ability to manage large datasets and mitigate overfitting. This study leverages Flask as the web framework to ensur...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Politeknik Negeri Batam
2024-11-01
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| coleção: | Journal of Applied Informatics and Computing |
| Assuntos: | |
| Acesso em linha: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8463 |
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