作为财富100强公司，Liberty Mutual Insurance提供了广泛的保险产品和服务，旨在满足客户100多年来不断变化的需求。为了确保Liberty Mutual的房屋保险政策组合符合其业务目标，许多新投保的房产将接受房屋检查。这些检查审查了财产的关键属性的状况，包括基础，屋顶，窗户和壁板等。检查的结果帮助Liberty Mutual确定该财产是否是他们想要保险的财产。在此挑战中，您的任务是使用属性信息数据集预测转换的危害计数或预先存在的损害。这将使Liberty Mutual能够更准确地识别需要额外检查以确认其可保性的高风险房屋.Liberty Mutual有兴趣聘请像您这样的预测建模人员在我们公司内众多不断增长的分析团队中工作。作为Liberty Mutual高级分析社区的成员，您将有机会将类似于本次竞赛中使用的尖端技术应用于精算，产品，声明，营销，分销等部门的大型数据集。人力资源和财务。
A Fortune 100 company, Liberty Mutual Insurance has provided a wide range of insurance products and services designed to meet their customers’ ever-changing needs for over 100 years.
To ensure that Liberty Mutual’s portfolio of home insurance policies aligns with their business goals, many newly insured properties receive a home inspection. These inspections review the condition of key attributes of the property, including things like the foundation, roof, windows and siding. The results of an inspection help Liberty Mutual determine if the property is one they want to insure.
In this challenge, your task is to predict a transformed count of hazards or pre-existing damages using a dataset of property information. This will enable Liberty Mutual to more accurately identify high risk homes that require additional examination to confirm their insurability.
Liberty Mutual is interested in hiring predictive modelers like you to work on one of many growing analytics teams within our company. As a member of Liberty Mutual’s advanced analytics community, you will have the opportunity to apply sophisticated, cutting-edge techniques, similar to those used in this competition, to large data sets in departments such as Actuarial, Product, Claims, Marketing, Distribution, Human Resources, and Finance.