Campus Card Logistic Regression Algorithm Application.

With the progress of computer technology and communication technology, the national economy develops rapidly, and the information level of all walks of life is getting higher and higher. All the time, all produce huge data, and in-depth mining and analysis of these data will help promote the development of related industries. In this paper, the data mining technology is applied to the data analysis of campus card. Through the analysis of relevant records, the students with excellent academic performance and poor families are found out for the reference of relevant departments, and the necessary proof materials are combined to make more poor students who study hard get financial assistance. In this paper, logistic regression algorithm is used for modeling, and Bayes algorithm is introduced for comparison experiment. The model is applied to the test data set, and the label attribute value (whether poor students or not) is successfully predicted.