Title: Analysis of influencing factors of college students' entrepreneurship based on decision tree model

Authors: Changliang Li; Qingqing Zhang

Addresses: Department of Humanities, Social Sciences and Sports, Zhejiang Zhoushan Tourism and Health College, Zhoushan City, Zhejiang Province, 316111, China ' Department of Business, Zhejiang Tourism and Health College, Zhoushan City, Zhejiang Province, 316111, China

Abstract: In order to explore the influencing factors of college students' entrepreneurship, the research combined geographic weighted regression model (GWR) and gradient boosting decision tree (GBDT) to analyse the influencing factors of college students' entrepreneurship. The results show that the factors of geographical location have a significant impact on college students' entrepreneurship, and the success rate and willingness intensity of college students' entrepreneurship are significantly affected by geographical regions. Entrepreneurs' interpersonal communication, problem-solving and enterprise management ability have a great impact on entrepreneurship achievements, followed by learning ability, human resource management ability and entrepreneurship policy. At present, the quality of entrepreneurship education in colleges and universities is not high, so entrepreneurship education has a relatively small impact on college students' entrepreneurship. It provides an important reference point for the research on the relationship between the location of college students' entrepreneurship and the success rate of entrepreneurship.

Keywords: GWR; geographically weighted regression; gradient lifting; decision tree; college students' entrepreneurship; influence factor.

DOI: 10.1504/IJCSM.2023.135051

International Journal of Computing Science and Mathematics, 2023 Vol.18 No.4, pp.378 - 391

Received: 14 Apr 2022
Accepted: 11 Apr 2023
Published online: 28 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article