Climate Tipping Point Forecasting on 6-box ocean model without future covariates (test)
6.745SDTW (1)TFT (ours)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TFT (ours)Training Loss=SDTW2026.05 | 6.745 | 0.0546 | 0.2018 | 0.2715 | 0.86 | 0.9659 | |
| TFT (original)Training Loss=SDTW2026.05 | 6.879 | 0.0539 | 0.2428 | 0.3379 | 0.7903 | 0.9697 | |
| iTransformerTraining Loss=SDTW2026.05 | 7.3071 | 0.0805 | 0.9051 | 1.553 | 0.389 | -0.2978 | |
| TFT (original)Training Loss=MSE2026.05 | 7.834 | 0.0531 | 0.2185 | 0.2929 | 0.7736 | 0.9512 | |
| TFT (ours)Training Loss=MSE2026.05 | 7.952 | 0.0525 | 0.1948 | 0.2659 | 0.8451 | 0.962 | |
| iTransformerTraining Loss=MSE2026.05 | 9.54 | 0.0578 | 0.5924 | 0.8224 | 0.2303 | 0.635 | |
| TimeXerTraining Loss=SDTW2026.05 | 11.63 | 0.0742 | 1,568,000 | 2.666 | 0.377 | 0.2144 | |
| MambaTraining Loss=SDTW2026.05 | 12.73 | 0.0755 | — | — | 0.1729 | — | |
| MambaTraining Loss=MSE2026.05 | 13.12 | 0.0681 | — | — | 0.294 | — | |
| SegRNNTraining Loss=SDTW2026.05 | 13.26 | 0.1025 | 3.543 | 0.8624 | 0.1031 | 0.6881 | |
| TimeXerTraining Loss=MSE2026.05 | 14.08 | 0.0698 | 21,849 | 1.91 | 0.0938 | -0.0134 | |
| SegRNNTraining Loss=MSE2026.05 | 15.43 | 0.0726 | 1.269 | 1.708 | 0.2516 | 0.4071 | |
| TiDETraining Loss=SDTW2026.05 | 32.74 | 0.125 | 0.7072 | 1.188 | — | 0.664 | |
| TiDETraining Loss=MSE2026.05 | 33.46 | 0.1065 | 0.6959 | 1.1793 | — | 0.6689 | |
| PersistenceTraining Loss=N/A2026.05 | 44.09 | 0.1206 | 0.734 | 1.256 | — | 0.6654 |