Classification problem in liability insurance using machine learning models: a comparative study

• URL: http://arxiv.org/abs/2411.00354v1
• Date: Fri, 01 Nov 2024 04:35:39 GMT
• Title: Classification problem in liability insurance using machine learning models: a comparative study
• Authors: Marjan Qazvini,
• Abstract summary: We apply several machine learning models to classify liability insurance policies into two groups: 1 - policies with claims and 2 - policies without claims. In this study, we apply several machine learning models such as nearest neighbour and logistic regression to the Actuarial Challenge dataset used by Qazvini.
• Score: 0.0
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• Abstract: Underwriting is one of the important stages in an insurance company. The insurance company uses different factors to classify the policyholders. In this study, we apply several machine learning models such as nearest neighbour and logistic regression to the Actuarial Challenge dataset used by Qazvini (2019) to classify liability insurance policies into two groups: 1 - policies with claims and 2 - policies without claims.

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