Olympic Medal Prediction Based on Random Forest Modeling
DOI:
https://doi.org/10.54097/3zqxqy12Keywords:
Random Forest, Interval Estimation, Hypothesis Testing, Factor Analysis.Abstract
The Olympic Games are the most influential sporting event in the world, conveying the idea of higher, faster, and stronger. It promotes the pursuit of excellence in sportsmanship and the dedication to sportsmanship. At the same time, the results of the Olympic Games also reflect the level of sports of each country, so the number of medals is the focus of attention, and the factors that affect the number of medals predicted are very complex, usually based on the historical data of each country, the strength of the players, etc. This paper proposes a random forest prediction model based on multiple linear regression and regression to predict the interval of each country's medal count at the Los Angeles 2028 Olympic Games, as well as the ranking of each country. At the same time, this study provides reference opinions for the prediction of the medal table of the next Olympic Games.
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