Primary competition visual

data.org Financial Health Prediction Challenge

Helping Eswatini, Lesotho
and 2 other countries
  • Eswatini
  • Lesotho
  • Zimbabwe
  • Malawi
  • Scroll to see more
$1 500 USD
~2 months left
Prediction
Machine Learning
431 joined
162 active
Starti
Dec 12, 25
Closei
Feb 28, 26
Reveali
Mar 01, 26
About

This challenge provides a rich dataset capturing the financial behaviour, resilience, and operational realities of small and medium-sized enterprises (SMEs) across Eswatini, Lesotho, Malawi, and Zimbabwe. The data is sourced from SME surveys and includes detailed information about business owners, their financial habits, exposure to risks, access to credit, and overall business performance.

Your task is to use these features to predict the Financial Health Index (FHI) - a category of low, medium or high that reflects how financially resilient and well-positioned each business is. The index incorporates aspects such as savings habits, debt, shock resilience, and access to formal financial services.

Files
Description
Files
Test resembles Train.csv but without the target column. This is the dataset on which you will apply your model to.
This is the dataset that you will use to train your model. It contains the target.
This shows the submission format for this challenge.
Full list of variables and their explanations.
This is a starter notebook to help you make your first submission.