Multi-level Estimation and Fuzzy Evaluation of Physical Fitness and Health Effect of College Students in Regular Institutions of Higher Learning Based on Classification and Regression Tree Algorithm

In view of the problem that it is impossible to effectively evaluate the multi-level estimation of college students in regular institutions of higher learning with the data theory, a kind of multi-level estimation and fuzzy evaluation of physical fitness and health effect of college students in regular institutions of higher learning based on classification and regression tree algorithm is put forward in this paper. The classification and regression tree algorithm is applied to carry out pretreatment on the physical fitness and health of the college students in the regular institutions of high learning. In accordance with the characteristics of the classification and regression tree algorithm, calculation is performed on the physical fitness and health test data of the college students. The results of the simulation experiments show that this method can make multi-level estimation and fuzzy evaluation of the physical fitness and health of the college students in the regular institutions of high learning both efficiently and reasonably.