Time Series Forecasting on MSPG (test)
0.295RMSEMWNE-Qwen2.5-1.5b-instruct
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MWNE-Qwen2.5-1.5b-instructModel Category=TempoWAVE Embedding + LLM, Base LLM=Qwen2.5-1.5b-instruct2026.06 | 0.295 | 0.1956 | |
| FoNE-Qwen2.5-1.5b-instructModel Category=Fourier Embedding + LLM, Base LLM=Qwen2.5-1.5b-instruct2026.06 | 0.3006 | 0.266 | |
| ChatTime-ChatModel Category=Time Series Foundation Model2026.06 | 0.3123 | 0.1917 | |
| MoiraiModel Category=Time Series Foundation Model2026.06 | 0.376 | 0.2368 | |
| TimesNetModel Category=Time Series Forecasting Model2026.06 | 0.3821 | 0.2792 | |
| iTransformerModel Category=Time Series Forecasting Model2026.06 | 0.397 | 0.2711 | |
| ChronosModel Category=Time Series Foundation Model2026.06 | 0.4103 | 0.2393 | |
| DLinearModel Category=Time Series Forecasting Model2026.06 | 0.4287 | 0.2901 | |
| N-BEATSModel Category=Time Series Forecasting Model2026.06 | 0.4305 | 0.2891 | |
| TimeLLMModel Category=Time Series Foundation Model2026.06 | 0.4378 | 0.3267 | |
| AutoformerModel Category=Time Series Forecasting Model2026.06 | 0.4501 | 0.2998 | |
| PatchTSTModel Category=Time Series Forecasting Model2026.06 | 0.4551 | 0.3098 |