editedbook

SPORTS PREDICTOR USING MACHINE LEARNING ALGORITHM

Area/Stream: Computing Technologies and Data Sciences,
Authors: Ignatius Almeida, Gladstone D’souza, Amit Kumar Yadav, Siddhart Sandu, Aruna Pavate
Keywords: Sports, Win Predictor, Football, Hockey, Machine learning
Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 1, Chapter 7
Publication: IIP Proceedings

Year: 2022,
Month: November

Page No: 72-82,
ISSN/ISBN: 978-81-959356-3-5,
DOI/Link: https://rsquarel.org/assets/docupload/rsl202302038CD3C1F6236.pdf


Abstract:

Machine learning is a branch of Artificial Intelligence and is more often used to predict outcomes. A lucrative area like sport aids from ML as it forecasts players' performance. Sports coaches, fanatics, and enthusiasts get an insight into improving a team's performance. In-game various factors, such as past fixtures, player statistics, and opposition information-related data, are used to form the sports prediction model. This work focuses on the use of SVM to predict a team and a player's performance, namely in hockey and football. This work has achieved R2 0.8780, MSE 0.0028, MSE 0.0530 for football and R2 0.8189, MSE 0.0021, RMSE 0.0464 for hockey using SVM algorithm.

Cite this: Ignatius Almeida, Gladstone D’souza, Amit Kumar Yadav, Siddhart Sandu, Aruna Pavate,"SPORTS PREDICTOR USING MACHINE LEARNING ALGORITHM", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 1, Chapter 7, November, 2022, 72-82, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl202302038CD3C1F6236.pdf
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