Are Machine Learning Algorithms More Accurate in Predicting Vegetable and Fruit Consumption Than Traditional Statistical Models? An Exploratory Analysis

Machine learning (ML) algorithms may help better understand the complex interactions among factors that influence dietary choices and behaviors. The aim of this study was to explore whether ML algorithms are more accurate than traditional statistical models in predicting vegetable and fruit (VF) con...

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Detalles Bibliográficos
Autores principales: Côté, Mélina, Osseni, Mazid Abiodoun, Brassard, Didier, Carbonneau, Élise, Robitaille, Julie, Vohl, Marie-Claude, Lemieux, Simone, Laviolette, François, Lamarche, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891134/
https://www.ncbi.nlm.nih.gov/pubmed/35252288
http://dx.doi.org/10.3389/fnut.2022.740898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891134/
https://www.ncbi.nlm.nih.gov/pubmed/35252288
http://dx.doi.org/10.3389/fnut.2022.740898

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