福建电脑2025，Vol.41Issue(7)：27-31,5.DOI:10.16707/j.cnki.fjpc.2025.07.006
大学生运动健康评分模型研究
Research on the Sports Health Rating Model for College Students
摘要
Abstract
In order to improve the scientific and accurate evaluation of college students'physical fitness and health,this paper studies a health index scoring model based on random forest algorithm.A stratified sampling method was used to investigate 1200 college students,and 11 physiological indicators of the sample students were measured.Random forest regression algorithm was applied to analyze the key factors affecting college students'sports health scores,and a prediction model for college students'sports health scores was constructed.The research results indicate that the prediction model based on the random forest algorithm has a determination coefficient R2 of 0.85 and a root mean square error of 2.3 on the test set,demonstrating good predictive performance.关键词
大学生/健康评分/预测模型Key words
College Student/Health Score/Prediction Model分类
信息技术与安全科学引用本文复制引用
张旭华,淡斌..大学生运动健康评分模型研究[J].福建电脑,2025,41(7):27-31,5.基金项目
本文得到陕西省体育科研常规课题(No.20240031)资助. （No.20240031）
