Classification of the Insureds Using Integrated Machine Learning Algorithms: A Comparative Study
Author:
Affiliation:
1. School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China
2. Department of Statistics, Mathematics, and Insurance, Faculty of Commerce, Assuit University, Asyut, Egypt
Funder
The characteristic & preponderant discipline of key construction universities in Zhejiang province
Collaborative Innovation Center of Statistical Data Engineering Technology & Application, The National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2020489
Reference51 articles.
1. Personalization as a promise: Can Big Data change the practice of insurance?
2. Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, C.J. (1984). Classification And Regression Trees (1st ed.). (pp. 368). Routledge. https://doi.org/10.1201/9781315139470
3. Briys, E., and F. De Varenne. 2001. Insurance: From Underwriting to Derivatives. In: Jacque L.L., Vaaler P.M. (eds) Financial Innovations and the Welfare of Nations. Springer, Boston, MA, pp 301-314. https://doi.org/10.1007/978-1-4615-1623-1_15,
4. Explainable Machine Learning in Credit Risk Management
5. SMOTE: Synthetic Minority Over-sampling Technique
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