Time Series Forecasting on M4 Hourly (MASE, Runtime)
1.34MASEAdaptive MoE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Adaptive MoE2026.05 | 1.34 | 113.1 | |
| CatBoost2026.05 | 1.6 | 95.87 | |
| N-BEATS2026.05 | 1.65 | 1,576.39 | |
| PR2026.05 | 1.66 | 106.19 | |
| DeepAR2026.05 | 1.74 | 1,219.87 | |
| WaveNet2026.05 | 1.91 | 2,950.19 | |
| FFNN2026.05 | 2.65 | 23.62 | |
| TBATS2026.05 | 2.66 | 1,909.18 | |
| Transformer2026.05 | 3.2 | 1,495.33 | |
| ARIMA2026.05 | 8.47 | 89.48 | |
| Theta2026.05 | 11.52 | 7.89 | |
| SES2026.05 | 11.61 | 7.65 | |
| ETS2026.05 | 26.69 | 24.3 |