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机器学习预测大学生对食物成的预测,使用人口统计,人体统计和人格特征

Ali Rahimnezhad1, Seyedeh Taravat Mortazavi1, Youkabed Behdarvand1

  • 1Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Scientific reports
|January 30, 2026
PubMed
概括

人工智能和机器学习通过分析人格和行为数据,准确地预测大学生的食物成. 像Random Forest和CatBoost这样的先进模型显示出高预测能力,识别与危险饮食行为相关的心理特征.

关键词:
饮食行为 饮食行为食物成 食物成机器学习 机器学习在SHAP分析中进行分析.

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