Predicting Fatigue in Training Plans for Athletes
"Explore how predicting upcoming fatigue can optimize training plans for athletes, with baseline and gradient boosting models achieving MSE values of 0.0712 and 0.0453 respectively. Subjective data is scaled for individual players to enhance predictions."
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Presentation Transcript
In Roc we trust Pavel Dimitrov Chachev Alexander Haberling Christian Moreau Jochen Sch fer Sebastian Ziegler
Model Story: Predicting the upcoming fatigue of next week allows broad adjustments of the current training plan Subjective data: scaled for each player seperatly Baseline: Predicting mode MSE of 0.0712 Gradientboosting: MSE of 0.0453
