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...



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.

Jun 06, 2021
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here