Detecting drivers of basketball successful games: an exploratory study with machine learning algorithms
收藏DataCite Commons2020-11-09 更新2025-04-16 收录
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http://siba-ese.unisalento.it/index.php/ejasa/article/view/21536/19185
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资源简介：
This paper aims to detect which are the drivers leading to victory for basketball matches in NBA, the American National Basketball Association. First games for regular seasons from 2004-2005 to 2017-2018 have been summarized in terms of box scores and Dean's four factors. Then box scores and four factors have been used as classication independent variables to identify victory drivers, focusing on Golden StateWarriors matches. Both CART and Random Forests machine learning techniques have been applied, and results are compared to assess the more suitable approach.
提供机构：
University of Salento
创建时间：
2020-11-09
