NBA Playoff Prediction Using Several Machine Learning Methods

被引：0
|
作者：
Ma, Nigel [1 ]
机构：
[1] German Swiss Int Sch, Hong Kong, Peoples R China
来源：
2021 3RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING, BIG DATA AND BUSINESS INTELLIGENCE (MLBDBI 2021) | 2021年
关键词：
Team playoff prediction; Data analysis; Logistic Regression;
D O I：
10.1109/MLBDBI54094.2021.00030
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Data classification is a widespread application in the real world, which is also a critical task in machine learning, This paper will be using machine leaming methods to predict which NBA teams can make the playoffs by inputting their statistics into an algorithm. Data on how teams performed in the regular season will be collected and 6 machine learning models to perform a data classification task will then be implemented. Logistic Regression was the most accurate algorithm, producing a score of 0.922.
引用
收藏
页码：113 / 116
页数：4
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