Dataset contains of two CSV files named as train.csv and test.csv including the variables named as 'Id', 'Income', 'Age', 'Experience', 'Married/Single' 'House Ownership', 'Car Ownership', 'Profession', 'CITY', 'STATE','CURRENT_JOB_YRS', 'CURRENT_HOUSE_YRS', 'Risk_Flag' are used to predict whether the customer has been a defaulter in the past or not.

Column Names Description:-

Income:- Income of the user

Age:- Age of the user

Experience:- Professional experience of the user in years

Profession:- Profession

Married:- Whether married or single

House:- ownership Owned or rented or neither

Car ownership:- Does the person own a car

Risk_flag:- Defaulted on a loan

Current job years:- Years of experience in the current job

Currenthouseyears:- Number of years in the current residence

City:- City of residence

State:- State of residence