Students Performance Prediction and Classification Using Ridge Regression Algorithm

Pooja S. S
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Abstract

Education system is very old and due to a large population of students, there are some serious issues in analyzing and predicting students’ performance. Every institution has its own set of standards for evaluating student success. In existing system there is no proper procedure for monitoring and analyzing a student’s performance and progress. Here the focus is given to additional external factors like students status, parent occupation etc.. That will be more effective in visualizing and analyzing student’s performance. This project proposed Ridge regression Algorithm is used.
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岭回归算法之学生成绩预测与分类
教育系统非常陈旧,由于学生人数众多,在分析和预测学生表现方面存在一些严重的问题。每个机构都有自己的一套评估学生成功的标准。在现有的系统中,没有适当的程序来监控和分析学生的表现和进步。这里的重点是额外的外部因素,如学生的身份,父母的职业等。这将更有效地可视化和分析学生的表现。本课题提出的岭回归算法是采用的。
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