{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T04:44:18Z","timestamp":1776919458521,"version":"3.51.2"},"reference-count":41,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Major Project of Philosophy and Social Science Research of the Ministry of Education of China","award":["23JZD019"],"award-info":[{"award-number":["23JZD019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>With the development of digital technology, although local governments have been using digital means to improve the quality of public services, traditional statistical methods have limitations in processing complex, high-dimensional data and revealing factors influencing policies. This paper used the XGBoost algorithm to construct a satisfaction prediction model, leveraging its advantages in handling nonlinear relationships and feature interactions to assist government decision-making through prediction and feature analysis. This study is based on questionnaire surveys and public data, and the optimal configuration of the model was determined through preprocessing and parameter tuning. Experiments showed that the proposed model outperforms other models in terms of prediction accuracy, robustness, efficiency, and cross-scenario applicability. Through empirical analysis, this study shows that the XGBoost model has significant advantages in predicting local government digital public service policy satisfaction. Its mean square error (MSE) is only 0.056, which is 37.1% lower than the traditional linear regression model. This means that XGBoost can more accurately capture the complex nonlinear relationships that influence public satisfaction.<\/jats:p>","DOI":"10.3390\/systems13090808","type":"journal-article","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T07:33:02Z","timestamp":1758007982000},"page":"808","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Quantitative Analysis of Satisfaction with Chinese Local Government Digital Public Service Policies Using XGBoost Algorithm"],"prefix":"10.3390","volume":"13","author":[{"given":"Qin","family":"Hu","sequence":"first","affiliation":[{"name":"School of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Government, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengli","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1080\/09540962.2021.1939584","article-title":"Digital transformation going local: Implementation, impacts and constraints from a German perspective","volume":"43","author":"Kuhlmann","year":"2023","journal-title":"Public Money Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"101650","DOI":"10.1016\/j.giq.2021.101650","article-title":"Co-production in digital transformation of public administration and public value creation: The case of Denmark","volume":"39","author":"Scupola","year":"2022","journal-title":"Gov. 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