For universities, the quality of talent training is particularly important. This article attempts to use machine learning methods to build a predictive model, using undergraduates’ entrance scores and the scores obtained in the first two years of university as the data source, With the increase of training times, the prediction accuracy of the model proposed in this paper is better than other algorithms, which can explain the method proposed in this paper. Has a certain universality and promotion.