An integrated teaching method of college physical education based on multi-classification support vector machine

The purpose of this paper is to evaluate the teaching of university sports physical-educational integration based on multi-classification support vector machine (SVM).Firstly, it introduces the background of the development of university sports physical-educational integration teaching and the current situation of related research, and clarifies the purpose and significance of the study.Then the basic principle of SVM and the theory and application of multi-classification SVM are elaborated in detail, and the application prospect of multi-classification SVM in the field of educational evaluation is discussed.On this basis, the index system applicable to the evaluation of the teaching and learning of the integration of university sports and physical education is constructed, and the data collection and pre-processing methods are introduced.Subsequently, the process of constructing the teaching evaluation model for the integration of university physical education in sports based on multi-classification SVMs is described.Finally, descriptive statistics and analyses of the empirical data were carried out, and the empirical results of the multi-classification SVM were discussed and interpreted to explore the application of the evaluation model in university physical education integration teaching.Finally, the research results and conclusions are summarised, and the future directions and trends of the evaluation research on the integration of teaching and learning in university sports body-education are looked forward to.