Task is to predict the potential customers interested in buying an insurance policy. Information about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was based on a real world business problem. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a insurance policy. Reference Data set - http://kdd.ics.uci.edu/databases/tic/tic.data.html
Task is to predict the potential customers interested in buying an insurance policy. Information about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data is based on a real world business problem. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a insurance policy. Reference Data set - http://kdd.ics.uci.edu/databases/tic/tic.data.html
Task is to predict the potential customers interested in buying an insurance policy. Information about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was based on a real world business problem. The training set contains over 5000 descriptions of customers, including the information of whether or not they have a insurance policy. Reference Data set - http://kdd.ics.uci.edu/databases/tic/tic.data.html