南昌工程学院学报2024，Vol.43Issue(4)：94-100,7.
基于多元线性回归的数学建模成绩预测研究
Research on mathematical modeling achievements prediction based on multiple linear regression
摘要
Abstract
A mathematical modeling achievements prediction model was established using the multiple linear regression method in machine learning.Firstly,the dataset was determined by selecting prerequisite courses,data cleaning,etc.Second-ly,correlation analysis and variance inflation factor were used to test the correlation and multicollinearity between course a-chievements.The stepwise regression method was used to determine the influencing factors and regression model of mathe-matical modeling achievement.Finally,the cross validation method was used to train the model on different training sets,and the prediction accuracy of the model was tested using mean square error and mean relative error.The experimental results show that the mathematical modeling achievements predicted by multiple linear regression are similar to the actual values,the effectiveness of the model is verified.关键词
多元线性回归/相关性分析/方差膨胀因子/成绩预测/交叉验证Key words
multiple linear regression/correlation analysis/variance inflation factor/achievements prediction/cross validation分类
数理科学引用本文复制引用
潘花,仇海全,车金星..基于多元线性回归的数学建模成绩预测研究[J].南昌工程学院学报,2024,43(4):94-100,7.基金项目
安徽省高等学校自然科学研究重点项目(2022AH051651) （2022AH051651）
安徽省质量工程教学研究重点项目(2022jyxm360) （2022jyxm360）
江西省高等学校教学改革研究课题(JXJG-23-18-21) （JXJG-23-18-21）
安徽科技学院校级线下一流课程项目(Xj2022036) （Xj2022036）
安徽科技学院校级督导专题研究重点项目(DDZT2301) （DDZT2301）
