Crop yield prediction on US Corn Belt county-level data 2016 (test)
28.35RMSELYRA-RaTAR
Evaluation Results
| Method | Links | |
|---|---|---|
| LYRA-RaTARApproach=Fine-tuning2026.03 | 28.35 | |
| TCN2026.03 | 30.93 | |
| LSTM2026.03 | 36.37 | |
| Transformer2026.03 | 43.1 | |
| TS-RAGBackbone=LSTM2026.03 | 45.54 | |
| Pyraformer2026.03 | 57.53 | |
| iTransformer2026.03 | 60.94 |