UNICEF Arm 2030 Vision #1: Flood Prediction in Malawi
$10,000 USD
Predict flood extent caused by storms in southern Malawi
2 December 2019–31 May 2020 23:59
521 data scientists enrolled, 113 on the leaderboard
If you are confused about project, read this. For example, Zindi talks about squares and end up talking about rectangles and sqaures.
published 9 Jan 2020, 22:38

It says you should use 2015 data (target_2015 and its features) to train your model to predict flood extent (a.k.a, target_2015). Make your sure your model is good. Then use the model and the 2019 features to predict target_2019 (a.ka. flood extent in 2019 which we do not know). After you submit your work, Zindi will use your predicted target_2019 and the actual target_2019 (not the one in samplesubmission.csv) to measure RMSE.

I think square = sqaure = rectangle in this project.