Stacked ensemble model for NBA game outcome prediction analysis
Abstract This research presents a stacked ensemble approach that employs artificial intelligence (AI) techniques to predict the outcomes of NBA games. Several machine learning algorithms were utilized, including Naïve Bayes, AdaBoost, Multilayer Perceptron (MLP), K-Nearest Neighbors (KNN), XGBoost,...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2025-08-01
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| Edice: | Scientific Reports |
| Témata: | |
| On-line přístup: | https://doi.org/10.1038/s41598-025-13657-1 |
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