Physical Health Test Analysis Based on Adaptive Proportional Fusion Ensemble Classifier for College Students

Abstract

The physical health test of college students is a comprehensive assessment of their physical health status from the body shape, physical function, physical fitness and other aspects. Study of the physical health test using data mining technology has important practical significance for the reform of the physical education in universities. This paper presents a quantitative analysis approach of physical health test based on adaptive proportional fusion ensemble classifier for college students. It can be used to mine the importance of the sports items which affect the physical health test score for college students. In the experiments, the physical health test data is used to analyze the importance of different sports test items on the total score of physical health for male and female college students. The results have an important guiding significance for improving the physical health test score of college students, and enhancing the pertinence of the training of key sports items for physical education teachers.