Primary competition visual

2025 Accra Mobility Prediction Hackathon Powered by Yango

Helping Ghana
$2 000 USD
Challenge completed 4 months ago
Prediction
128 joined
92 active
Starti
Jul 05, 25
Closei
Jul 05, 25
Reveali
Jul 05, 25
About

The data comprises a sampled dataset of trips ordered via the Yango App from January 2025 in Ghana. January was chosen as it is the rainiest month, allowing you to explore the relationship between travel time and precipitation.

To ensure user data privacy, the coordinates of the start and end points were altered using a geomasking function, which moves the points by at least X meters and no more than Y meters in a random direction. The straight-line distance is calculated based on the original points. The dataset has been cleaned to remove excessively short trips.

Files
Description
Files
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "trip_id" must be correct.
This file describes the variables found in train and test.
Extra information on the weather in Accra.
This notebook will help you make your first submission on Zindi.