Improved prediction of swimming talent through random forest analysis of anthropometric and physiological phenotypes
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The field of competitive swimming lacks broadly applicable predictive models for talent identification across various age groups of adolescent swimmers. This study aimed to construct a predictive model for athletic talent using machine learning methods based o... ...
