Author(s)

Zhengyang Liang

Corresponding Author

Zhengyang Liang

ABSTRACT

Aiming at the requirement of information technology for English learning and the advantage of deep learning algorithm, this paper proposes a prediction model of English score based on Naive Bayes. In order to verify the effectiveness of the model in predicting English scores, this paper first analyzes the principle of Naive Bayes theorem, and then uses the probability of naive Bayes model to predict students’ English scores under different attributes based on the CET-4 scores of a vocational college from 2016 to 2018 as the basic data source. The results show that the prediction results of Naive Bayes classification are basically consistent with the practice.

KEYWORDS

Bayes’ law, Grade prediction, Data conversion