A new study published in Frontiers leverages machine learning to analyze performance in 6-hour ultra-marathon races, uncovering key factors that influence endurance and pacing strategies for long-distance runners.
A new study published in Frontiers leverages machine learning to analyze performance in 6-hour ultra-marathon races, uncovering key factors that influence endurance and pacing strategies for long-distance runners.
A new study in Scientific Reports employs an XGBoost model to analyze performance factors in 50-mile ultramarathons. The predictive approach offers fresh insights into endurance racing strategies and outcomes.