基于监督学习模型和人工智能的公共体育服务质量的优化和影响
Ying Yan1,2
1College of Physical Education, Hunan City University, Yiyang, 413000, Hunan, China. yanying@hncu.edu.cn.
Scientific reports
|March 23, 2025
概括
本研究引入了监督学习模型,以提高公共体育服务质量. 该模型表现出卓越的性能,实现了高精度和数据处理的回忆.
科学领域:
- 体育管理体育管理
- 数据科学数据科学数据科学
- 公共管理 公共管理
背景情况:
- 公共体育服务对社区福祉至关重要.
- 优化服务质量需要先进的分析方法.
- 现有的方法可能无法充分利用可用的数据来改善服务.
研究的目的:
- 开发和评估一个监督学习模型,以优化公共体育服务质量.
- 通过先进的机器学习技术,有效地分析公共体育服务数据.
- 为改善公共体育服务的提供提供数据驱动的方法.
主要方法:
- 构建研究的理论框架.
- 开发一个以监督学习模型为中心的技术框架.
- 使用专门的数据集和实际应用场景评估模型的性能.
主要成果:
- 监督学习模型在处理公共体育服务数据方面表现出色.
- 模型准确度超过88%,在各种数据类型中同样高的回忆率.
- 该模型的有效性得到了验证,证明了对服务优化具有重要的实际价值.
结论:
- 监督学习模式是优化公共体育服务质量的实用和有价值的工具.
- 该研究为公共体育服务管理的决策提供了科学基础.
- 结果提供了关于在现实世界应用中实施此类模型的潜力和挑战的见解.
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