Primary competition visual

2024 Lusaka Mobility Prediction Hackathon Powered by Yango

Helping Zambia
$1 000 USD
Challenge completed ~1 year ago
Prediction
193 joined
75 active
Starti
Oct 26, 24
Closei
Oct 26, 24
Reveali
Oct 26, 24
About

The data comprises a sampled dataset of trips ordered via the Yango App from January 2024 in Lusaka. 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.
Extra information on the weather in Lusaka.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
This file describes the variables found in train and test.
Train contains the target. This is the dataset that you will use to train your model.
This notebook will help you make your first submission on Zindi.