Since we can't measure the actual values of crop yields in the future, we are using simulations obtained by a crop model that has been thoroughly studied and validated. This model was used to generate the yields of the training and test data, driven by the climate data that we have provided for you as predictor data.

## Metrics and leaderboards

Submissions are evaluated using the root mean squared error (RMSE) between the predicted yield and the true simulated yield from the crop model over all datapoints (unique combinations of grid cell, year and crop). A RMSE of 0 would mean a perfect emulator of the crop model.

During the competition, the RMSE as calculated on the validation set (years 2021-2050) will be used for the Kaggle leaderboard. On November 10th, the challenge will close and model scores on the final decades (2051 - 2100) will be shown.