Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours

Tomislav Horvat, Josip Job, Vladimir Medved

2017

Abstract

Machine learning becomes one of the top fields in world of ICT (Information and communications technology). In the last few decades machine learning has taken a big boost in sports. Sport fans are using machine learning in sport betting and sport managers are using it for player selection, performance evaluation and even in outcome prediction. This paper gives basketball outcome prediction algorithms using k-nearest neighbours (k-nn). Few methods of preparing data calculated with different k and time period for k-nn algorithm will be presented and closely explained. Feature selection will also be discussed and results based on feature selection will be presented.

Paper Citation

in Harvard Style

Horvat T., Job J. and Medved V. (2018). Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours.In Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS, ISBN 978-989-758-325-4, pages 203-207. DOI: 10.5220/0006893502030207

in Bibtex Style

@conference{k-bios18,
author={Tomislav Horvat and Josip Job and Vladimir Medved},
title={Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours},
booktitle={Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS,},
year={2018},
pages={203-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006893502030207},
isbn={978-989-758-325-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: K-BioS,
TI - Prediction of Euroleague Games based on Supervised Classification Algorithm k-Nearest Neighbours
SN - 978-989-758-325-4
AU - Horvat T.
AU - Job J.
AU - Medved V.
PY - 2018
SP - 203
EP - 207
DO - 10.5220/0006893502030207