Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model

Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model

Abstract Although the 50-mile ultramarathon is one of the most common race distances, it has received little scientific attention. The objective of this study was to assess how an athlete’s age group, sex, nationality, and the race location, affect race speed. Utilizing a dataset with ultramarathon...

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Main Authors: Jonas Turnwald, David Valero, Pedro Forte, Katja Weiss, Elias Villiger, Mabliny Thuany, Volker Scheer, Matthias Wilhelm, Marilia Andrade, Ivan Cuk, Pantelis T. Nikolaidis, Beat Knechtle
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-92581-w
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https://doi.org/10.1038/s41598-025-92581-w

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