The Evaluation Model of Teaching Quality of Modern and Contemporary Literature in Chinese Higher Education Based on Support Vector Regression Algorithm (SVRA)

Abstract

This paper presents a model to evaluate the teaching quality of modern and contemporary literature by using support vector regression, and discusses the weight distribution of each independent variable in the evaluation of teaching quality of modern and contemporary literature in Chinese higher education, and uses the support vector regression algorithm (SVRA) to determine the evaluation weight of the teaching quality of Hangong Opera. It verifies by using the case of inheritance of Anhui Hangong Opera culture in Chinese higher education. The research results show that the method of the evaluation of teaching quality of modern and contemporary literature based on support vector regression algorithm (SVRA) can effectively analyze the teaching quality test data in Chinese higher education.