Exploring and Selecting Features to Predict the Next Outcomes of MLB Games.

Li, Shu-Fen; Huang, Mei-Ling; Li, Yun-Zhi

Li, Shu-Fen; Huang, Mei-Ling; Li, Yun-Zhi.

Afiliación

Li SF; Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan.
Huang ML; Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan.
Li YZ; Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan.

Entropy (Basel) ; 24(2)2022 Feb 17.

Article en En | MEDLINE | ID: mdl-35205582

Palabras clave

Major League Baseball (MLB); deep learning; machine learning; model prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

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