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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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Principais autores: Xingchen Lv, Dingyu Gu, Xianghu Liu, Jingwen Dong, Yanfang li
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-08-01
Serier:Scientific Reports
Fag:
Momentum
CatBoost model
Random forest model
Autocorrelation analysis
Online adgang:https://doi.org/10.1038/s41598-024-69876-5
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