With the development of China's higher education, the mental health of college students is receiving more and more attention. The mental health management of college students cannot be limited to the systematic data storage of them, but should be reasonably utilized and processed into objective, visual and predictable results to avoid accidents. Based on the SPSS data analysis platform, this paper adopts the decision tree algorithm to comprehensively mine and analyze the data in the database, so as to better manage the mental health of college students. In this paper, after the comparison and analysis with SVM algorithm model proved that the accuracy and checking rate of classification prediction test set of SVM (Support Vector Machine) algorithm are 83.12 and 66.13%, respectively, and the accuracy and checking rate of classification prediction test set of C5.0 algorithm are 85% and 75.13%, respectively.