Table 6 Performance assessment of RNN model for district-level yield prediction using RMSE, MAE, and R2.
From: Predicting wheat yield using deep learning and multi-source environmental data
Year | Train R2 | Test R2 | RMSE |
---|---|---|---|
2017 | 0.85 | 0.72 | 0.40 |
2018 | 0.89 | 0.76 | 0.46 |
2019 | 0.81 | 0.69 | 0.30 |
2020 | 0.91 | 0.78 | 0.49 |
2021 | 0.77 | 0.66 | 0.19 |
2022 | 0.95 | 0.82 | 0.63 |