Crop yield prediction on US Corn Belt county-level data 2017 (test)
30.13RMSELYRA-RaTAR
Evaluation Results
| Method | Links | |
|---|---|---|
| LYRA-RaTARApproach=Fine-tuning2026.03 | 30.13 | |
| LSTM2026.03 | 35.02 | |
| TCN2026.03 | 35.44 | |
| TS-RAGBackbone=LSTM2026.03 | 41.48 | |
| Transformer2026.03 | 48.79 | |
| Pyraformer2026.03 | 56.12 | |
| iTransformer2026.03 | 58.87 |