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Explaining basketball game performance with SHAP: insights from Chinese Basketball Association

Abstract This study explores the Key Performance Indicators (KPIs) influencing the game outcomes of the Chinese Basketball Association (CBA). Utilizing data from 4100 games across 10 CBA seasons (2013–2023), this study constructs CBA game outcome prediction models using seven machine learning algori...

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Kaydedildi:
Asıl Yazarlar: Yan Ou-Yang, Wei Hong, Liming Peng, Cheng-Xi Mao, Wen-Jia Zhou, Wei-Tao Zheng, Quan Wang, Feng Qi, Xue-Wei Li, Shi-Huan Chen, Ce Xu, Yu-Fan Wang
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2025-04-01
Seri Bilgileri:Scientific Reports
Konular:
CBA
Basketball
Performance analysis
Team sports
Machine learning
Data mining
Online Erişim:https://doi.org/10.1038/s41598-025-97817-3
Etiketler: Etiketle
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