Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyze the data.In this project I'll have to need to analyze the available data and predict whether to sanction the insurance or not using different machine learning classifer models.
The dataset given consists of data corresponding to 50553 customers. Following are the features of the dataset -
1.Target: Claim Status (Claim) 2.Name of agency (Agency) 3.Type of travel insurance agencies (Agency.Type) 4.Distribution channel of travel insurance agencies (Distribution.Channel) 5.Name of the travel insurance products (Product.Name) 6.Duration of travel (Duration) 7.Destination of travel (Destination) 8.Amount of sales of travel insurance policies (Net.Sales) 9.The commission received for travel insurance agency (Commission) 10.Gender of insured (Gender) 11.Age of insured (Age)