ID3-Based Classification of College Students' Physical Fitness Data

摘要

This paper uses the ID3 algorithm to analyze and extract the classification rules hidden in the original data of the physical fitness test of junior college students in mobile app platform database of "Running Shida". These classification rules are highly consistent with the actual data in the database and are highly consistent with the results of individual survey of students. The forecasting conclusion of these classification rules is of great significance for quickly and scientifically determining students' physique, putting forward reasonable suggestions for sports training and promoting the reform of "integration in-and-outside class" teaching mode of physical education in colleges and universities.