首页|随机森林法对北京移动用户体验影响因素研究

随机森林法对北京移动用户体验影响因素研究

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目的/意义:移动信息技术是当今社会赖以需求的.提高客户满意度等是提升网络服务质量的最佳方法,也是共同推动移动网络高质量可持续发展的关键步骤之一.方法/过程:使用斯皮尔曼和随机森林对数据进行相关性和量化分析.对影响因素进行研究分析建立数学模型,进行调参处理.得到预测结果.结果/结论:结果表明影响移动用户体验的因素对客户打分影响程度的量化分析和结果.模型精确度89%,准确度强于其余模型.
Research on the Influencing Factors of Random Forest Law on Mobile User Experience in Beijing
Purpose/Significance:Mobile information technology is the demand of today's society.Improving customer satisfaction is the best way to improve the quality of network services,and it is also one of the key steps to jointly promote the high-quality sustainable development of mobile networks.Method/Process:Correla-tion and quantification of data using Spearman and random forest.The influence factors are studied and ana-lyzed,mathematical models are established,and parameters are adjusted.Get the predicted result.Result/Con-clusion:The results show the quantitative analysis and results of the impact of factors affecting mobile user experience on customer ratings.The accuracy of the model is 89%,which is better than other models.

random forestbalanced data setcorrelation analysiscross verificationgrid search method

黄霜聆、谢健、李荣、康湖滨

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广东东软学院 信息管理与工程学院,广东 佛山

随机森林 平衡数据集 相关性分析 交叉验证 网格搜索法

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(9)
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