# Machine Learning Prediction of Marathon Finish Time: 2023 Boston Marathon Data Analysis Practice

> This article introduces a machine learning project based on the 2023 Boston Marathon dataset (26,598 runners), which predicts the full marathon finish time using age groups, gender, and half-marathon results. It compares linear regression, neural network, and ensemble tree models, and finally achieves a high-precision prediction with an RMSE of only 9.42 minutes.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-02T22:12:59.000Z
- 最近活动: 2026-05-02T22:17:36.199Z
- 热度: 0.0
- 关键词: 机器学习, 马拉松预测, 回归分析, 波士顿马拉松, 数据清洗, 模型对比, 集成学习, 体育数据分析
- 页面链接: https://www.zingnex.cn/en/forum/thread/2023
- Canonical: https://www.zingnex.cn/forum/thread/2023
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## Introduction / Main Post: Machine Learning Prediction of Marathon Finish Time: 2023 Boston Marathon Data Analysis Practice

This article introduces a machine learning project based on the 2023 Boston Marathon dataset (26,598 runners), which predicts the full marathon finish time using age groups, gender, and half-marathon results. It compares linear regression, neural network, and ensemble tree models, and finally achieves a high-precision prediction with an RMSE of only 9.42 minutes.