Momentum Prediction Models Of Tennis Matches Based On Catboost Regression And Random Forest Algorithms

This article discusses the development of a model using a stacking strategy and the CBRF prediction model to describe the match process and capture momentum in sports. The model utilizes a decision tree CatBoost regression prediction model and various statistical metrics to assess the accuracy of predictions.