Time Series Forecasting on dominick
0.001MASEAdaptive MoE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Adaptive MoE2026.05 | 0.001 | — | |
| FFNN2026.05 | 0.004 | — | |
| Transformer2026.05 | 0.006 | — | |
| WaveNet2026.05 | 0.008 | — | |
| DeepAR2026.05 | 0.015 | — | |
| SES2026.05 | 0.194 | — | |
| Theta2026.05 | 0.208 | — | |
| ETS2026.05 | 0.242 | — | |
| Chronos Large2025.10 | 0.33 | — | |
| Moirai Large2025.10 | 0.332 | — | |
| Chronos Bolt Base2025.10 | 0.345 | — | |
| Chronos Bolt Mini2025.10 | 0.35 | — | |
| ChromaModel Size=tiny, Frequency Awareness=true, Aggregation Strategy=Best2025.10 | 0.36 | — | |
| ChromaModel Size=4m, Frequency Awareness=true, Aggregation Strategy=Best2025.10 | 0.361 | — | |
| ChromaModel Size=4m, Frequency Awareness=true, Aggregation Strategy=Ensemble2025.10 | 0.362 | — | |
| ChromaModel Size=tiny, Frequency Awareness=true, Aggregation Strategy=Ensemble2025.10 | 0.363 | — | |
| TimesFM 2.02025.10 | 0.371 | — | |
| Seasonal Naive2025.10 | 0.453 | — | |
| Auto ETS2025.10 | 0.484 | — | |
| Auto ARIMA2025.10 | 0.485 | — | |
| Adaptive MoE2026.05 | 0.51 | 4,113.09 | |
| DeepAR2026.05 | 0.53 | 919.85 | |
| WaveNet2026.05 | 0.53 | 5,935.71 | |
| Transformer2026.05 | 0.55 | 1,276.75 | |
| FFNN2026.05 | 0.57 | 47.78 | |
| SES2026.05 | 0.58 | 8,774.96 | |
| ETS2026.05 | 0.6 | 8,951.33 | |
| Theta2026.05 | 0.61 | 8,888.71 | |
| N-BEATS2026.05 | 2.312 | — | |
| N-BEATS2026.05 | 5.67 | 21,731.13 |