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2025 Maputo Mobility Prediction Hackathon Powered by Yango

Helping Mozambique
2000 USD
Completed (7 months ago)
Prediction
107 joined
65 active
Starti
Oct 11, 25
Closei
Oct 11, 25
Reveali
Oct 11, 25
About

The data comprises a sampled dataset of trips ordered via the Yango App from April 2024 in Mozambique. March was chosen as it is a rainy and humid month, allowing us 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.

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Files
Description
Files
This notebook will help you make your first submission on Zindi.
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.
This 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 Maputo.