The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence
Abstract Aiming at the optimization of public sports service quality, this study analyzes the public sports service data deeply by constructing a supervised learning model. Firstly, the theoretical framework of this study is established. Secondly, the technical framework is constructed based on the...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-94613-x |
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| author | Ying Yan |
| author_facet | Ying Yan |
| author_sort | Ying Yan |
| collection | DOAJ |
| description | Abstract Aiming at the optimization of public sports service quality, this study analyzes the public sports service data deeply by constructing a supervised learning model. Firstly, the theoretical framework of this study is established. Secondly, the technical framework is constructed based on the supervised learning model. Finally, the comprehensive performance of the model is evaluated using a dataset and practical application. The results show that when the model is used to process public sports service data, its performance is excellent. Specifically, the model’s accuracy and recall in processing various types of data markedly exceed expectations, with the accuracy reaching more than 88% and the recall remaining at a similarly high level. This remarkable result not only validates the supervised learning model’s practicability in the quality optimization of public sports services but also highlights its huge application potential and value. In addition, the possibility and challenge of the model in practical application are also discussed, which provides a useful reference for further improving the quality of public sports service. The findings of this study enrich the research methods in the field of public sports services and offer a scientific basis for relevant decision-making, which helps promote the continuous optimization and development of public sports services. |
| format | Article |
| id | doaj-art-69261c2d3a704fcd923008dabf22c1a1 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-69261c2d3a704fcd923008dabf22c1a12025-08-20T02:41:31ZengNature PortfolioScientific Reports2045-23222025-03-0115111110.1038/s41598-025-94613-xThe optimization and impact of public sports service quality based on the supervised learning model and artificial intelligenceYing Yan0College of Physical Education, Hunan City UniversityAbstract Aiming at the optimization of public sports service quality, this study analyzes the public sports service data deeply by constructing a supervised learning model. Firstly, the theoretical framework of this study is established. Secondly, the technical framework is constructed based on the supervised learning model. Finally, the comprehensive performance of the model is evaluated using a dataset and practical application. The results show that when the model is used to process public sports service data, its performance is excellent. Specifically, the model’s accuracy and recall in processing various types of data markedly exceed expectations, with the accuracy reaching more than 88% and the recall remaining at a similarly high level. This remarkable result not only validates the supervised learning model’s practicability in the quality optimization of public sports services but also highlights its huge application potential and value. In addition, the possibility and challenge of the model in practical application are also discussed, which provides a useful reference for further improving the quality of public sports service. The findings of this study enrich the research methods in the field of public sports services and offer a scientific basis for relevant decision-making, which helps promote the continuous optimization and development of public sports services.https://doi.org/10.1038/s41598-025-94613-xArtificial intelligencePublic sportsSports serviceSupervised learningQuality optimization |
| spellingShingle | Ying Yan The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence Scientific Reports Artificial intelligence Public sports Sports service Supervised learning Quality optimization |
| title | The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| title_full | The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| title_fullStr | The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| title_full_unstemmed | The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| title_short | The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| title_sort | optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence |
| topic | Artificial intelligence Public sports Sports service Supervised learning Quality optimization |
| url | https://doi.org/10.1038/s41598-025-94613-x |
| work_keys_str_mv | AT yingyan theoptimizationandimpactofpublicsportsservicequalitybasedonthesupervisedlearningmodelandartificialintelligence AT yingyan optimizationandimpactofpublicsportsservicequalitybasedonthesupervisedlearningmodelandartificialintelligence |