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2026 Yaoundé Mobility Prediction Hackathon Powered by Yango

2000 USD
Under code review
Prediction
303 joined
68 active
Starti
Apr 18, 26
Closei
Apr 18, 26
Reveali
Apr 18, 26
About

The data comprises a sampled dataset of trips ordered via the Yango App from April 2024 in Cameroon. April was chosen because it is the start of the rainy season, 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.

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Files
Description
Files
This notebook will help you make your first submission on Zindi.
This file describes the variables found in train and test.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Extra information on the weather in Yaoundé.
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.