Intelligent Sports Prediction Analysis System Based on Data Fusion Algorithm

With the development of the Internet, intelligence has become an indispensable part, especially in e-commerce, education, and medical treatment. The intelligent sports prediction system came into being. At present, most schools in our country have not established a scientific, reasonable, practical and effective intelligent sports forecasting analysis system for students. So it needs to be studied. This paper mainly uses comparative and experimental methods to compare and analyze the relative advantages of data fusion algorithms and the capabilities of different algorithms in data processing. It is concluded that the system designed in this paper has a higher accuracy of applying SVM algorithm, which can reach 87.25. Although the other methods take a shorter time, their accuracy is not as high as that of SVM.