Problem statement: Predict whether a customer will purchase from the store given data about customer’s information and past behaviour.
The train.csv file contains the training dataset that has the following variables. You may use this data for the purpose of training and validating your model.
Target variable
PURCHASE - Indicates whether a customer purchases (Yes/No) a product when approached by the store.
Other variables:
ID - Unique identifier of a customer
STATE - Customer’s state of residence
AGE - Customer’s age
OCCUPATION - Customer’s occupation
INCOME_GROUP - Customer’s income band
CUSTOMER_SINCE - Year in which the customer made the first purchase at the store
LOYALTY_PROGRAM - Is the customer enrolled for the loyalty program? (Yes/No)
PAST_PURCHASE - Total amount of past purchase from the same store
Evaluation criteria:
F1 score which is the harmonic mean of precision and recall. You are expected to predict using the data in the test.csv file and send the prediction in the format mentioned in sample_submission.csv.