Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 16, 2025Highlights in Science Engineering and Technology

Olympic Medal Prediction Based on Machine Learning Models

View Full Paper
Ask AI
Bookmark
Share

Authors

YXYiming XiaoAnkang UniversityQWQimao WangDalian Ocean University

Discussion

Loading...

Member takes

Implication

Machine learning predicts medal counts for the 2028 Olympics, suggesting emerging nations may excel.

Key Points

  • Predictions indicate the United States, China, and Russia will continue to dominate the medal count.
  • The Gradient Boosting model reveals eight emerging nations have a high chance of winning medals for the first time.
  • K-means clustering analysis assesses strengths of various countries in specific sporting events.
  • This study presents a methodological framework valuable for national sports policy formulation.

Cite This Study

Xiao et al. (2025) studied this question.

synapsesocial.com/papers/68f04927e559138a1a06db5bhttps://doi.org/10.54097/nq5rjk33
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched one closely related paper. Consider it for comparative context:

  1. 1Python for Scientific Computing2007 · 3,404 citations