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Research Article
A machine learning approach for the classification of sports based on a coaches’ perspective of environmental, individual and task requirements: A sports profile analysis
Jan Willem Teunissena Institute for Studies in Sports and Exercise, HAN University of Applied Sciences, Nijmegen, The Netherlands;b Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University, Ghent, BelgiumCorrespondence[email protected]
https://orcid.org/0000-0002-8254-7020
Irene R. Faberc Institute of Sport Science, University of Oldenburg, Oldenburg, Germany;d Department of Sport Pedagogy, University of Applied Sciences Windesheim, Zwolle, The Netherlands
, Jelle De Bocke UGent-imec ELIS Department, Research group IDLab, Ghent University—IMEC, Ghent, Belgium
, Maarten Slembroucke UGent-imec ELIS Department, Research group IDLab, Ghent University—IMEC, Ghent, Belgium
, Steven Verstockte UGent-imec ELIS Department, Research group IDLab, Ghent University—IMEC, Ghent, Belgium
, Matthieu Lenoirb Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
& Johan Piona Institute for Studies in Sports and Exercise, HAN University of Applied Sciences, Nijmegen, The Netherlands;b Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
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Received 15 Nov 2022, Accepted 26 Sep 2023, Published online: 17 Dec 2023
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