2024
DOI: 10.1371/journal.pone.0307478
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Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

Yan Ouyang,
Xuewei Li,
Wenjia Zhou
et al.

Abstract: This study investigated the application of artificial intelligence in real-time prediction of professional basketball games, identifying the variations within performance indicators that are critical in determining the outcomes of the games. Utilizing games data from the NBA seasons 2021 to 2023 as the sample, the study constructed a real-time predictive model for NBA game outcomes, integrating the machine learning XGBoost and SHAP algorithms. The model simulated the prediction of game outcomes at different ti… Show more

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