 Multi-class classification approach to predict risk levels of insurance customersKaveh Khalili-Damghani and Mohsen Yaghoubizadeh International Journal of Management and Decision Making, 2016, vol. 15, issue 3/4, 237-247 Abstract: In today's world, insurance business is one of the most important service industries. Attention to customers and understanding their behavioural patterns are carried out on the basis of different objectives such as reducing the pressure of competitors, increasing market share, reducing and optimising cost. Hence, the ability to understand and predict the behaviour and attitudes of customers has an important role in the success of insurance companies. In this study a multi-class classification approach is proposed to predict the behaviour pattern of insurance customers in a third-party car insurance company. The results of proposed approach are compared with those of traditional classification approaches. The results showed that proposed approach outperforms the traditional approach in the sense of providing high accuracy answers. The proposed approach of this study can be utilised in other classification problems in banks, libraries, hospitals, and chain stores. Keywords: customer relationship management; CRM; individual classifiers; multiple classifiers; multi-class classification; ensemble learning; risk levels; insurance industry; behaviour patterns; customer behaviour; third-party car insurance. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:15:y:2016:i:3/4:p:237-247 Access Statistics for this article More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd |
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