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机器学习分类和回归模型的比较,用于预测研究生公共卫生学生的学业成绩

Amira Fathy Abdallah Sayed1,2, Mostafa Ahmed Arafa1, Nessrin Ahmed El-Nimr1

  • 1Department of Epidemiology, High Institute of Public Health Alexandria University, Alexandria, Egypt.

Scientific reports
|December 18, 2025
PubMed
概括

机器学习 (ML) 模型可以预测研究生学术表现 (AP). 回归模型,特别是Ensemble (软投票),对于AP预测比分类更有效,识别了诸如失败课程等关键因素.

关键词:
学业成绩学术成绩的表现机器学习是机器学习.研究生公共卫生研究生.预测 预测 预测

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