Research on mathematical modeling achievements prediction based on multiple linear regression
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.
multiple linear regressioncorrelation analysisvariance inflation factorachievements predictioncross validation
国家科技期刊平台
NSTL
万方数据
