The data is from a historical marketing campaign. It contains 68 predictive variables and 4,972 records. In addition, it contains a treatment indicator and a purchase indicator.
A data frame with 10000 rows and 70 variables:
TREATMENT: equals 1 if the person received the marketing offer, and 0 if the person was in the control group
PURCHASE: equals 1 if the person accepted the offer, and 0 otherwise
UNIQUE_ID: unique identifier
AGE: age of the person
D_REGION_X: 1 if the person lives in region X, 0 otherwise (3 regions: A, B, C)
Other variables are from credit bureau data (e.g., N_OPEN_REV_ACTS = number of open revolving accounts)