Time-series forecasting on RPSOV B777L (MSE, MAE)
0.058MSERAG4CTS
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RAG4CTSCategory=RAG2026.03 | 0.058 | 0.153 | |
| PyraformerCategory=Learning-based2026.03 | 0.085 | 0.176 | |
| iTransformerCategory=Learning-based2026.03 | 0.171 | 0.252 | |
| DLinearCategory=Learning-based2026.03 | 0.254 | 0.336 | |
| TimeXerCategory=Learning-based2026.03 | 0.262 | 0.316 | |
| Chronos-2Category=TSFM, Protocol=finetuned2026.03 | 0.296 | 0.286 | |
| TimeMixerCategory=Learning-based2026.03 | 0.467 | 0.452 | |
| PatchTSTCategory=Learning-based2026.03 | 0.486 | 0.461 | |
| TS-RAGCategory=RAG, Protocol=train2026.03 | 0.96 | 0.711 | |
| Chronos-2Category=TSFM, Protocol=zeroshot2026.03 | 1.542 | 0.907 | |
| TS-RAGCategory=RAG, Protocol=zeroshot2026.03 | 2 | 1.076 | |
| TimesFMCategory=TSFM, Protocol=zeroshot2026.03 | 2.346 | 1.18 | |
| Chronos-Bolt-BaseBCategory=TSFM, Protocol=zeroshot2026.03 | 2.346 | 1.18 | |
| SundialCategory=TSFM, Protocol=zeroshot2026.03 | 2.563 | 1.264 |