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A framework of interpretable match results prediction in football with FIFA ratings and team formation
While forecasting football match results has long been a popular topic, a practical model for football participants, such as coaches and players, has not been considered in great detail. In this study, we propose a generalized and interpretable machine learning model framework that only requires coa...
Autores principales: | Yeung, Calvin C. K., Bunker, Rory, Fujii, Keisuke |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101499/ https://www.ncbi.nlm.nih.gov/pubmed/37053253 http://dx.doi.org/10.1371/journal.pone.0284318 |
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