Design of College Physical Education Teaching Quality Evaluation System Based on Improved ID3 Algorithm

The improved ID3 algorithm is based on the simulation of the human brain for information processing, through the user feedback, the system will analyze the user input data, and then according to the analysis results to determine whether the system meets the teaching needs. The system analyzes the user feedback data, and then judges whether the teaching quality meets the requirements based on the results. This paper firstly analyzes the ID3 algorithm, which is a kind of decision tree learning algorithm based on information first, the algorithm has good global search ability, it can analyze the user feedback data; secondly analyzes the research of the improved ID3 algorithm; finally, the design research and experiment of the physical education teaching quality evaluation system are carried out, through the analysis of test data, the experiment proves that the system has good teaching quality.