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

Research article (PLoS ONE, 2024) · cited 39× · AI/ML
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Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

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Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology. Retrieved May 24, 2026, from https://4ort.xyz/entity/integration-of-machine-learning-xgboost-and-shap-models-for-nba-game-outcome-prediction-and-quantitative-analysis-method
MLA “Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integration-of-machine-learning-xgboost-and-shap-models-for-nba-game-outcome-prediction-and-quantitative-analysis-method.
BibTeX @misc{4ortxyz_integration-of-machine-learning-xgboost-and-shap-models-for-nba-game-outcome-prediction-and-quantitative-analysis-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology}}, year = {2026}, url = {https://4ort.xyz/entity/integration-of-machine-learning-xgboost-and-shap-models-for-nba-game-outcome-prediction-and-quantitative-analysis-method}, note = {Accessed: 2026-05-24}}
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