A Machine Learning Framework for Predicting Sports Results Based on Multi-Frame Mining
Ge Ri LeTu · 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) · 2022
Machine learning is an intelligent method that plays a good role in the field of classification and prediction. The prediction results need to be prepared in the field of sports prediction. This is because gambling in large-scale sports events involves a lot of money. At the same time, sports professional club managers and bosses are working hard to establish intelligent video processing and resource allocation, SQL as a database. These models involve many factors related to the game, such as historical game results, player performance indicators, and opponent information. Based on the theory of multi-frame mining, this paper develops a machine learning framework for predicting sports results to analyze the results of sports events.