Time-series Forecasting on NY-T
10.37RMSESTEP
Evaluation Results
| Method | Links | |
|---|---|---|
| STEPtraining_mode=fine-tuned2023.11 | 10.37 | |
| MICNtraining_mode=fine-tuned2023.11 | 11.56 | |
| TimesNettraining_mode=fine-tuned2023.11 | 11.82 | |
| LPTMtraining_mode=fine-tuned2023.11 | 11.84 | |
| N-HITStraining_mode=fine-tuned2023.11 | 11.87 | |
| PatchTSTtraining_mode=fine-tuned2023.11 | 11.95 | |
| TiDEtraining_mode=fine-tuned2023.11 | 11.95 | |
| LPTM-OnlyLastMasktraining_mode=fine-tuned2023.11 | 12.04 | |
| LLM-Timetraining_mode=fine-tuned2023.11 | 12.11 | |
| EpiFNPtraining_mode=fine-tuned2023.11 | 12.11 | |
| LPTM-NoLinProbtraining_mode=fine-tuned2023.11 | 12.17 | |
| TimesFMtraining_mode=fine-tuned2023.11 | 12.19 | |
| Informertraining_mode=fine-tuned2023.11 | 12.33 | |
| LPTM-OnlyRandMasktraining_mode=fine-tuned2023.11 | 12.36 | |
| LPTM-NoPreTraintraining_mode=fine-tuned2023.11 | 12.43 | |
| TFTtraining_mode=fine-tuned2023.11 | 12.55 | |
| Autoformertraining_mode=fine-tuned2023.11 | 12.71 | |
| SimMTMtraining_mode=fine-tuned2023.11 | 12.79 | |
| Chronostraining_mode=fine-tuned2023.11 | 12.82 | |
| Lag-LLAMAzero-shot=true2023.11 | 12.84 | |
| TimesFMzero-shot=true2023.11 | 13.11 | |
| LPTMzero-shot=true2023.11 | 13.12 | |
| iTransformertraining_mode=fine-tuned2023.11 | 13.16 | |
| Lag-LLAMAtraining_mode=fine-tuned2023.11 | 13.43 | |
| TS2Vectraining_mode=fine-tuned2023.11 | 13.48 | |
| LLM-Timezero-shot=true2023.11 | 13.53 | |
| MOIRAItraining_mode=fine-tuned2023.11 | 13.71 | |
| Chronoszero-shot=true2023.11 | 13.74 | |
| MOIRAIzero-shot=true2023.11 | 13.82 | |
| TS2Veczero-shot=true2023.11 | 14.39 | |
| LPTM-NoSegmenttraining_mode=fine-tuned2023.11 | 14.96 | |
| ColaGNNtraining_mode=fine-tuned2023.11 | 14.97 | |
| TS-TCCtraining_mode=fine-tuned2023.11 | 15.55 | |
| TS-TCCzero-shot=true2023.11 | 15.72 | |
| SimMTMzero-shot=true2023.11 | 15.72 | |
| AutoARIMAtraining_mode=fine-tuned2023.11 | 16.43 |