An organization wants to predict who possible defaulters are for the consumer loans product. They have data about historic customer behavior based on what they have observed. Hence when they acquire new customers they want to predict who is riskier and who is not.
ID: Id of the user(All Unique)
Income: Income of the user
Age: Age of the user
Experience: Professional experience of the user in years
Profession: Profession of the user
Married/Single: Whether married or not
House_Ownership: Owned or rented or neither
Car_Ownership: Does the person own a car
STATE: State of residence
CITY: City of residence CURRENT_JOB_YRS: Years of experience in the current job
CURRENT_HOUSE_YRS: Number of years in the current residence
Risk_Flag: Defaulted on a loan(Target variable)