Research on Prediction Accuracy of Mathematical Modeling Based on Big Data Prediction Model

Abstract

At present, people’s food demand in the late stage of the new coronavirus is affected by many aspects and various factors, and the current prediction method is affected by redundant data, which leads to poor accuracy of the prediction results. In addition, in order to prevent the mismatch between food supply and demand in the event of major health events, the prediction model was selected in the big data environment and the prediction accuracy of the mathematical model was studied. Through the improvement of various prediction models and the comparison of prediction accuracy, it is found that the improved grey Verhulst has higher accuracy and is more suitable for short-term prediction.