Application of Decision Tree Algorithm in Graduate Employment

As China's postgraduate enrollment continues to grow, challenges related to graduation rates and employment prospects for postgraduates have become increasingly evident. This paper studies the influence of postgraduate education factors on employment. Decision tree algorithm is used to construct decision tree for factors influencing of graduate employment. Based on the decision tree C4.5 algorithm, this paper classifies the employment data of information students. The C4.5 decision tree model of employment is established by setting variables such as research interests, publication quality, participation in supervisors' projects, gender and enterprise level. Reasonable prediction using the existing employment data provides theoretical basis for the development of postgraduate training programmes and capacity enhancement.