Analysis of College Physical Education Teaching and Evaluation Based on Decision Tree Algorithm

In recent years, with the emphasis on education and attention to physical health, the become increasingly important. Choosing appropriate evaluation indicators is the core issue of physical education teaching evaluation in universities. Therefore, based, this paper analyzes the index system of college sports teaching evaluation, and establishes a decision Tree model model suitable for college sports teaching evaluation. Firstly, by analyzing the basic principles and content of physical education teaching, an evaluation index system was established, including teaching objectives, classroom teaching, practical teaching, and student performance. Secondly, C4.5 algorithm is used to build the decision tree of the evaluation index system, and the data is modeled and trained. Finally, the effectiveness of the by comparing its prediction accuracy and accuracy through experiments. The results of this study indicate that the model for college physical can effectively improve the accuracy and precision of the evaluation results, and help to achieve and improvement of college.