National Basketball Association Most Valuable Player Prediction Based on Machine Learning Methods

被引：0
|
作者：
Li, Xinyang [1 ]
机构：
[1] Shanghai Shangde Expt Sch SSES, Shanghai 200120, Peoples R China
来源：
SECOND IYSF ACADEMIC SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING | 2021年 / 12079卷
关键词：
MVP; NBA; machine learning; data science; betting strategy;
D O I：
10.1117/12.2623094
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The NBA (national basketball association) is one of the most well-known sports associations worldwide. Although under the influence of the epidemic, there are still 12.52 million people watching the sixth game of the final, and this number is only for the United States. Also, apart from the fascinating games, what is more interesting is the tremendous amount of data generated by the hundreds of games played per season. Lots of analyses and predictions using the data could be done in various ways. What we did in this essay was to make predictions that may help people win money in betting for MW per season. More than thirty years of NBA games with fifty columns of features were used for analysis. Then four models for prediction were built. The result turned out to be 67% in winning a bet on MW, which is quite good.
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页数：8
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