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August 11, 2025Deleted Journal

Research on Medal Prediction Model for 2028 Olympic Games Based on Linear Regression and Random Forests

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Authors

WDWalter Ferreira daHZHaoran ZhangRMRan Mo

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Overview

Model predicts medal counts using linear regression and random forests, suggesting key factors for success.

Key Points

  • The proposed model predicts the number of medals countries will win at the 2028 Olympic Games, combining multiple analytical approaches.
  • Using linear regression and random forest, predictions include gold, silver, and bronze medals based on historical data and participation metrics.
  • An AHP framework quantifies the influence of factors like training intensity and team tactics on Olympic performance.
  • This analysis offers a multi-dimensional approach to understand and predict Olympic medal distribution trends.

Cite This Study

da et al. (2025) studied this question.

synapsesocial.com/papers/68a35ee30a429f79733279eahttps://doi.org/10.54097/6w300t05
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  4. 4Prediction Of Medals Based on Machine Learning and OLS Statistical Regression Models2025
  5. 5A Quantitative Study of Medal Predictions and the Impact of Good Coaching at the Los Angeles Olympics2025