Analysis and Prediction of College Students’ Employment based on Decision Tree Classification Algorithm

Decision tree is a data analysis method that can be used to predict the future behavior of individuals based on their past behavior. This technology is very effective in predicting the future employment situation of students, because it takes into account all relevant factors that affect a person's job prospects. In this paper, I will use decision tree classification algorithm the employment situation of college students based on their past educational background and work experience. This paper is based on the quality requirements of higher vocational education, based on the classification analysis algorithm in data mining and machine learning, and taking the enrollment, student status management and employment data of Yunnan Institute of Mechanical and Electrical Technology as samples, analyzes the employment factors of students through learning decision tree classifier, and obtains the scores of student enrollment, comprehensive quality evaluation The prediction model of the region and nature of the employment unit on the smooth employment and the type of the employment unit is designed to provide a scientific basis for the employment guidance and talent training program of higher vocational colleges, and has certain practical value.