Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

Yan Ouyang; Xuewei Li; Wenjia Zhou; Wei Hong; Weitao Zheng; Feng Qi; Liming Peng

doi:10.1371/journal.pone.0307478

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Open Access

Peer-reviewed

Research Article

Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

Yan Ouyang ,

Contributed equally to this work with: Yan Ouyang, Xuewei Li, Wenjia Zhou

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Writing – original draft

Affiliations School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China

https://orcid.org/0009-0002-5145-5585

⨯
Xuewei Li ,

Contributed equally to this work with: Yan Ouyang, Xuewei Li, Wenjia Zhou

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Writing – review & editing

Affiliations School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Engineering Research Center of Sports Health Intelligent Equipment of Hubei Province, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Hubei Provincial Engineering and Technology Research Center of Sports Equipment, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China
⨯
Wenjia Zhou ,

Contributed equally to this work with: Yan Ouyang, Xuewei Li, Wenjia Zhou

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

Affiliations School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China

https://orcid.org/0000-0003-4372-4984

⨯
Wei Hong,

Roles Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – review & editing

Affiliations School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China
⨯
Weitao Zheng,

Roles Investigation, Supervision, Writing – review & editing

Affiliations School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Engineering Research Center of Sports Health Intelligent Equipment of Hubei Province, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, Hubei Provincial Engineering and Technology Research Center of Sports Equipment, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China
⨯
Feng Qi,

Roles Investigation, Writing – review & editing

Affiliation School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China
⨯
Liming Peng

Roles Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

* E-mail: wtplm@163.com

Affiliations Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, Hubei, People’s Republic of China, The College of Sports Science and Technology of Wuhan Sports University, Wuhan, Hubei, People’s Republic of China

https://orcid.org/0009-0002-8098-4646

⨯

Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

Yan Ouyang,
Xuewei Li,
Wenjia Zhou,
Wei Hong,
Weitao Zheng,
Feng Qi,
Liming Peng

Published: July 23, 2024
https://doi.org/10.1371/journal.pone.0307478

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