Construction of Evaluation System of Civic Education Work of College Students Based on Decision Tree Algorithm in New Media Era

The student group is the hierarchical talent of socialist modernization with Chinese characteristics in the new era, and is an important talent guarantee for the prosperity and development of the country. By exploring the implementation path of the evaluation index system for civic politics, a proposal has been made for an evaluation index system for college students’ civic politics education. The traditional ID3 decision tree algorithm is optimized for the problem of the long time that may occur when discretizing the evaluation data, and the improved algorithm is used to generate the decision tree of college students’ civic and political education work, and eight effective indicators are screened. The G1 and CRITIC methods were selected to calculate subjective and objective weights, and then the G1-CRITIC model was established to determine the index combination weights using the game theory combination assignment method. The results of the study show that the highest percentage of the seven evaluation indicators is the one-time employment rate (0.21099), which indicates that the research content of this paper provides a reference for universities to carry out the work of Civic and Political Education.