Construction and Verification of Academic Performance Early Warning Model based on PSO-XGBoost Algorithm

In order to improve the performance of student academic early warning model, this paper improves the problems existing in feature selection and missing value processing, proposes a students' academic early warning model based on PSO-XGBoost algorithm, and verifies the effectiveness of the model by using the mining performance of the algorithm and a single algorithm in the data set of this paper.