Time Series Forecasting on Tourism Monthly (Mean RMSE)
2,270.84Mean RMSEAdaptive MoE
Evaluation Results
| Method | Links | |
|---|---|---|
| Adaptive MoEFramework=PyTorch2026.05 | 2,270.84 | |
| ETS2026.05 | 2,542.96 | |
| DeepAR2026.05 | 2,599.72 | |
| N-BEATS2026.05 | 2,611.28 | |
| FFNNFramework=GluonTS2026.05 | 2,612.89 | |
| Theta2026.05 | 2,701.96 | |
| PR2026.05 | 2,739.43 | |
| Transformer2026.05 | 2,991.93 | |
| WaveNet2026.05 | 3,022.02 | |
| CatBoost2026.05 | 3,118.01 | |
| ARIMA2026.05 | 3,124.1 | |
| TBATS2026.05 | 3,661.5 | |
| SES2026.05 | 7,039.35 |