October 1, 2025PLoS ONEOpen Access

Application of machine learning models in predicting physical literacy in 4–6-year-old children: A comprehensive analysis of individual and family factors

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Discussion

Analysis shows influence of individual and family factors on children’s physical literacy, suggesting key insights for enhancement.

Ensemble learning model achieved top performance in predicting physical literacy, indicating its effectiveness.
The study identified AUC of 86.2% as a significant measure of predictive accuracy for the machine learning models used.
A comprehensive evaluation involved 1,734 children aged 4–6, highlighting critical family and individual factors influencing physical literacy.
The findings emphasize the importance of family support and lifestyle choices in enhancing children's physical literacy development.

Wang et al. (2025) studied this question.

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