Spatial performance analysis in basketball with CART, random forest and extremely randomized trees

This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at representing maps of the court visualizing areas with different levels of scoring probability of the analysed player or team. To do that, we propose the adoption of algorithmic modeling techniques. Firstly...

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Detalles Bibliográficos
Autores principales: Zuccolotto, Paola, Sandri, Marco, Manisera, Marica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164576/
https://www.ncbi.nlm.nih.gov/pubmed/35677064
http://dx.doi.org/10.1007/s10479-022-04784-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164576/
https://www.ncbi.nlm.nih.gov/pubmed/35677064
http://dx.doi.org/10.1007/s10479-022-04784-3

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