Research on Digital Economy Development Based on Multiple Linear Regression and Random Forest Regression

Yang, Rui and Wu, Chenghui and Yang, Xinkang and Liu, Jing and Wang, Junxian and Xia, Mengjuan and Yuan, Ling (2023) Research on Digital Economy Development Based on Multiple Linear Regression and Random Forest Regression. In: Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China.

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Abstract

The digital economy is highly innovative, highly permeable, and widely covered. It is not only a new economic growth point, but also a fulcrum for transforming and upgrading traditional industries. The digital economy can effectively expand consumer demand, stimulate investment vitality, and provide

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:10
Last Modified: 17 Apr 2026 03:24
URI: http://eprints.eai.eu/id/eprint/42621

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