BLG 454E Learning From Data, Spring 2018 Term Project
Suppose that you work as a data analyst in a company. The incurred cost of returns forces your company to take measures to reduce the number of returns without affecting the customer satisfaction. You are asked to solve this problem.
In this project your aim is to predict whether a purchase results with a return or not based on historical purchase data. A model had to be learned generating a prediction of the probability that a certain purchase is converted into a return on the basis of new purchase data of the shop. More explicitly, for each order item a prediction is to be made the value of which is
within the interval [0,1]. The higher the value, the more probable is the return. The error with respect to the real outcome concerning the return of the order item should be as small as possible.
If a question is not clear, please let the teaching assistants know by email:
kivrakh@itu.edu.tr or cebeci16@itu.edu.tr