Analysing university student pension insurance using the K-prototypes algorithm and logistic regression model

Addressing the pressing issue of 'five insurances and one pension' for financially constrained university students, this study employs the K-algorithm in student pension insurance. This algorithm not only safeguards the fund but also evaluates individuals, offering advantages such as tailored financial planning aligned with consumption capacity and risk tolerance. By integrating factor analysis, a refined evaluation index system for student pension insurance is devised. The study utilises the K-B optimisation method to simulate a student's participation and proposes strategies to enhance investment returns. This approach aims to ensure capital safety, maximise insured interests, and foster societal stability through sustainable development. Copyright © The Author(s) 2024. Published by Inderscience Publishers Ltd. This is an Open Access Article distributed under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)