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September 10, 2025Advances in Engineering Technology Research

Olympic Potential Mining: Ensemble Learning & Multi-Criteria Decision-Making

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Authors

WZWei ZhongYZYan ZhangZZZihan Zhao

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Overview

Modeling predicts medal distributions in Olympic sports, highlighting coaching strategies and event selection.

Key Points

  • Medal predictions increase with event diversity; for every 8% increase, medals rise by 7.2%.
  • The Stacking ensemble model outperforms single algorithms, indicating better prediction accuracy for Olympic medals.
  • Key factors in medal predictions include coaching experience and the number of elite athletes trained.
  • The EWH-TOPSIS framework offers stable coach rankings, with an impressive 92% consistency in outcomes.

Cite This Study

Zhong et al. (2025) studied this question.

synapsesocial.com/papers/68c1a76954b1d3bfb60e040bhttps://doi.org/10.56028/aetr.14.1.973.2025
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on Olympic Medal Prediction and Influencing Factors Based on Multi-Dimensional Feature Fusion and Machine Learning2025
  2. 2An Innovative mode: An Integrated CRITIC-Multivariate Linear Regression Framework with TOPSIS Multi-Criteria Evaluation2025 · 1 citations
  3. 3Olympic medal prediction combining deterministic and stochastic factors2025
  4. 4Uncovering the Secret of Olympics Medals2025 · 1 citations
  5. 5Research on Olympic Medal Prediction Method Based on Ensemble Learning and Grey Prediction2025