NBA game outcomes prediction using several machine learning algorithms and Voting Classifier

National Basketball Association, namely NBA, is the most hot league. For various purposes, people try to predict the outcome of NBA games. This paper applies the data of NBA matches from 2004-2022 and numerous machine learning classifiers, like Logistics Regression and Support Vector Classifier, to do with the train samples and the test samples. Then, the voting classifier is used to vote among all models to reach the highest score of 84.78%.

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Published
2024-12-20
DOI
https://doi.org/10.1109/dsit61374.2024.10881130
Primary Topic
Sports Analytics and Performance
Type
article
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article

NBA game outcomes prediction using several machine learning algorithms and Voting Classifier

Yan Wu
Sports Analytics and Performance
article

NBA game outcomes prediction using several machine learning algorithms and Voting Classifier

Yan Wu
article en

Abstract

National Basketball Association, namely NBA, is the most hot league. For various purposes, people try to predict the outcome of NBA games. This paper applies the data of NBA matches from 2004-2022 and numerous machine learning classifiers, like Logistics Regression and Support Vector Classifier, to do with the train samples and the test samples. Then, the voting classifier is used to vote among all models to reach the highest score of 84.78%.

Central South University (CN)
Openalex Percentile: Top 68%
Sports Analytics and Performance
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NBA game outcomes prediction using several machine learning algorithms and Voting Classifier — Yan Wu · (2024) | TGRS Research Map | TGRS