Churn Prediction Challenge 📱

Churn Prediction Challenge by IndabaX Eswatini

Helping Eswatini

E30 000 SZL

Completed (over 3 years ago)

Skills you will learn

Classification

Prediction

29 joined

21 active

Info Data Chat Leaderboard

Start

Oct 01, 22

Oct 31, 22

Reveal

Nov 01, 22

About

The data describes 2.5 million clients.

The objective of this hackathon is to develop a predictive model that determines the likelihood for a customer to churn - to stop purchasing airtime and data from the client.

The train file is large. We recommend making small splits on the train for local testing and not running one model on the whole train set.

Files

Description

Files

This file describes each variable.

This file will help you make your first submission. If you click on it and it opens a different tab, right click and save as. This will save it to your downloads folder.

Contains information about 2 million customers. There is a column called CHURN that indicates if a client churned or did not churn. This is the target. You must estimate the likelihood that these clients churned. You will use this file to train your model.

Is similar to train, but without the Churn column. You will use this file to test your model on.

Is an example of what your submission should look like. The order of the rows does not matter but the name of the user_id must be correct.

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