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July 2, 2025Highlights in Science Engineering and Technology

Stacking integration algorithm Based on Regression models and Informer for Olympic Medal Standings Forecasting

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Authors

KWKaidi WangYGYue GuoSCShiyuan Chen

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Overview

Hybrid modeling improves medal prediction accuracy in Olympic Games, suggesting a robust forecasting tool.

Key Points

  • The proposed framework enhances prediction accuracy for Olympic medals by using a hybrid modeling approach with regression models.
  • Key metrics like confidence intervals are calculated to validate the model's stability and manage prediction uncertainty.
  • The study classifies countries using K-means clustering into sports powerhouses and emerging nations for better adaptability.
  • This comprehensive tool offers valuable insights for policymakers and sports analysts gearing up for the upcoming Olympics.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68af4eaead7bf08b1ead707dhttps://doi.org/10.54097/pq214k97
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