Momentum prediction models of tennis match based on CatBoost regression and random forest algorithms

Abstract As we all know, momentum plays a crucial role in ball game. Based on the 2023 Wimbledon final data, this paper investigated momentum in tennis. Firstly, we initially trained a decision tree regression model on reprocessed data for prediction, and established the CBRF model based on CatBoost...

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Κύριοι συγγραφείς:	Xingchen Lv, Dingyu Gu, Xianghu Liu, Jingwen Dong, Yanfang li
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2024-08-01
Σειρά:	Scientific Reports
Θέματα:	Momentum CatBoost model Random forest model Autocorrelation analysis
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-024-69876-5
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