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.

翻译：承保是保险公司的重要阶段之一。保险公司利用不同因素对投保人进行分类。在本研究中，我们将最近邻算法和逻辑回归等多种机器学习模型应用于Qazvini（2019）使用的精算挑战数据集，将责任保险保单分为两类：1 - 有索赔的保单和2 - 无索赔的保单。