学业导师制提升课程成绩的机器学习评价方法
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引用本文:罗加美,牛森,安俊宇,薛建新.学业导师制提升课程成绩的机器学习评价方法[J].上海第二工业大学(中文版),2020,(3):213-219
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作者单位
罗加美 上海第二工业大学 计算机与信息工程学院上海201209 
牛森 上海第二工业大学 计算机与信息工程学院上海201209 
安俊宇 上海第二工业大学 计算机与信息工程学院上海201209 
薛建新 上海第二工业大学 计算机与信息工程学院上海201209 
基金项目:上海高校青年教师培养资助计划(ZZEGD20018)资助
中文关键词:学业导师制  线性回归  机器学习  成绩预测
 
An Evaluation Method of Machine Learning for Academic Performanceand Tutorial System
Abstract:The tutorial system is an auxiliary system for implementing and perfecting the credit system, which can effectively improve the comprehensive quality, innovative spirit and practical ability of students. In order to analyze the influence of the tutorial system on student course performance, this paper proposes an evaluation method of machine learning based on multiple linear regression models. The method is mainly divided into five stages: data preprocessing, data feature selection, model training, cross-validation, and score prediction. Finally, an experimental analysis was conducted on the course score. The comparison results proved that the tutorial system can effectively improve the pass rate and excellent rate of the course score.
keywords:tutorial system  linear regression  machine learning  score prediction
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