Analysis on Influencing Factors of College Evaluation Results Based on Grey Correlation Model and the Algorithm Theory

Comprehensive evaluation is the premise of scientific decision-making, and the analysis of the index factors affecting the evaluation results is the core content of evaluation problems. In this paper, 207 higher vocational colleges participating in the “Double High Plan” selection, 2 primary indexes and 50 second grade comprehensive evaluation indexes are selected to construct the grey correlation model, and the algorithm theory is applied to the field of education evaluation. The empirical results show that the index of college-enterprise deep cooperation has a high correlation with the selected high-level colleges, and the lowest correlation with the proportion of double quality full-time teachers. Through the analysis of the evaluation results of colleges, this paper finds out the advantages and disadvantages of colleges, and puts forward the goal direction, so as to provide reference for colleges in the decision-making of education evaluation.