The Research on College Students Physical Fitness Using Machine Learning Algorithm

Physical fitness is a critical component of college students' overall health and well-being. This study employs machine learning algorithms to identify key factors that influence fitness scores and to understand the relationship between students' physical attributes and their performance in fitness tests. The integration of multiple machine learning models not only enhances the predictive power of our analysis but also equips us with a robust framework to address the complexities inherent in physical fitness data. The study aspires to contribute to the development of personalized fitness programs that can significantly improve the health and fitness levels of college students.