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AI4EAC Liquidity Stress Early Warning Challenge [BEGINNER]

Helping Burundi, Congo (Democratic Republic of the)
and 6 other countries
  • Burundi
  • Congo (Democratic Republic of the)
  • Kenya
  • Rwanda
  • Somalia
  • Uganda
  • South Sudan
  • Tanzania, United Republic of
  • Scroll to see more
$7 500 USD
Closing soon! (~10 hours left)
Prediction
Classification
Feature Engineering
262 joined
97 active
Starti
Mar 28, 26
Closei
Mar 29, 26
Reveali
Mar 29, 26
About

The dataset contains mobile money records over the previous six months. Each row represents a customer's recent activity at a specific date. Features include:

  • Mobile money inflows and revenue
  • Cash withdrawals and cash-out behaviour
  • Balance levels and stability
  • Merchant and bill payment activity
  • Transaction frequency and account engagement

The target variable indicates whether a customer experiences liquidity stress in the 30 days following the observation date.

A full description of variables is provided in data_dictionary.csv.

Each row represents a customer's recent activity at a specific date.

Files
Description
Files
This file provides a full description of variables in the dataset.
This file shows the format of your submission file.
This is a starter notebook showing how to generate a submission file.
This is the testing dataset for evaluating your model.
This is the data required for training your model.
Slide decks from the introductory webinar