An analysis of the 6-h ultra-marathon race using a machine learning approach
For athletes competing in a 6-h ultramarathon, gender was the most important predictor, followed by the origin of the athlete, the age, and the race location. The 6-h running event seems to be dominated by European athletes regarding both participation and performance.
Authors
- Katja Weiss (ORCID: https://orcid.org/0000-0003-1247-6754)
- Volker Scheer (ORCID: https://orcid.org/0000-0003-0074-3624)
- Rodrigo Luiz Vancini (ORCID: https://orcid.org/0000-0003-1981-1092)
- Marília Santos Andrade (ORCID: https://orcid.org/0000-0002-7004-4565)
- Pantelis Τ. Nikolaidis (ORCID: https://orcid.org/0000-0001-8030-7122)
- Mabliny Thuany (ORCID: https://orcid.org/0000-0002-6858-1871)
- Elias Villiger (ORCID: https://orcid.org/0000-0001-8371-1390)
- Ivan Čuk (ORCID: https://orcid.org/0000-0001-7819-4384)
- David Valero (ORCID: https://orcid.org/0000-0003-4133-4843)
- Lorin Braschler (ORCID: https://orcid.org/0009-0005-0131-2991)
- Claudio André Barbosa de Lira (ORCID: https://orcid.org/0000-0001-5749-6877)
- Thomas Johannes Rosemann (ORCID: https://orcid.org/0000-0002-6436-6306)
- Beat Knechtle
Institutions
- University of Bern (CH)
- University of Zurich (CH)
- Universidade do Estado do Pará (BR)
- University of Belgrade (RS)
- University of West Attica (GR)
- Medbase (CH)
- Universidade Federal do Espírito Santo (BR)
- Universidade Federal de Goiás (BR)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Frontiers in Sports and Active Living
- Published
- 2025-09-22
- DOI
- https://doi.org/10.3389/fspor.2025.1577470
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00