A Random Forest Regression-Based Model for Olympic Medal Prediction

奥运会奖牌榜在很大程度上代表了一个国家的体育实力，对未来奖牌榜进行预测对国家有针对性地提升体育竞争力有重大意义。本研究提出了一种基于随机森林回归模型的奖牌预测框架，通过数据预处理、模型构建及评估，预测了各国在2028年洛杉矶奥运会上的奖牌分布。The Olympic medal table represents the sports strength of a country to a large extent. It is of great significance to predict the future medal table for the country to enhance the sports competitiveness. This study proposes a medal pre-diction framework based on the random forest model, involving data preprocessing, modeling, and evaluation to forecast the medal distribution of countries in the 2028 Los Angeles Olympics.