A Study on the Application of Bayesian Networks in the English Proficiency Test in Higher Vocational Colleges

摘要

By using Bayesian network and the K2 algorithm, a test model of vocational English application ability can be established. Through the Bayesian network classifiers, it can analyze the English application ability of comprehensive factors. As a result, we could find that the Bayesian network classifiers will affect the application of English ability. Through the analysis of these factors, and according to the analysis of the data for verification, it shows that the results of the validation are in conformity with the actual situation, and through the study of the application of the model, the direction for higher vocational students of English learning can be indicated, which can be used to support the management and reform in higher vocational colleges.