Variable importance. Variable importance ranking based on the random forest model.

Variable importance. Variable importance ranking based on the random forest model.

<p>The results show significant differences in the contribution of each variable to the prediction of the target variable.</p>

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Bibliographic Details
Main Author:	RuChen She (21656358) (author)
Other Authors:	Dongmei Wang (282313) (author)
Published:	2025
Subjects:	Medicine Biotechnology Sociology Science Policy Biological Sciences not elsewhere classified vigorous physical activity unique socioeconomic contexts strong interactions among random forest regression adolescent physical activity 2018 &# 8211 physical activity participation adolescents &# 8217 xlink "> using data tailored approaches reveals disparities results indicate policy environments parental education mental health interaction effects findings underscore family support family structure family resilience different states cluster analysis 50 states
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