Abstract: In view of the low correlation of the variables in the traditional method, which leads to the big error in the prediction results, a method based on logistic algorithm is proposed to predict the performance variables of the postgraduate entrance examination. The data of postgraduate entrance examination and student achievement over the years is collected and processed as the initial data of achievement variable prediction. The predictive variables of the performance of the postgraduate entrance examination is set up, the logistic regression classification algorithm model is established, and the correlation between the performance variables through the operation of the model is improved. Based on the analysis of the development law of the data and the influencing factors of the variables, the prediction results of the variables are obtained. Through the comparative experimental analysis, it is concluded that the prediction error rate of the method based on logistic algorithm is low and the prediction accuracy is high.

Key words: logistic algorithm, postgraduate entrance examination results, achievement variable;performance forecast