Context This is a sales data from an individual company. Content This dataset includes about 40,000 rows and 15 feature variables. Each row corresponds to a customer infomation, and includes the variables: 1. flag: Whether the customer has bought the target product or not 2. gender: Gender of the customer 3. education: Education background of customer 4. house_val: Value of the residence the customer lives in 5. age: Age of the customer by group 6. online: Whether the customer had online shopping experience or not 7. customer_psy: Variable describing consumer psychology based on the area of residence 8. marriage: Marriage status of the customer 9. children: Whether the customer has children or not 10. occupation: Career information of the customer 11. mortgage: Housing Loan Information of customers 12. house_own: Whether the customer owns a house or not 13. region: Information on the area in which the customer are located 14. car_prob: The probability that the customer will buy a new car(1 means the maximum possible） 15. fam_income: Family income Information of the customer(A means the lowest, and L means the highest) Reference Guozhen Chang