Time Series Forecasting On Ettm2 96 1
Metrics
MAE
MSE
Results
Performance results of various models on this benchmark
Model Name | MAE | MSE | Paper Title | Repository |
|---|---|---|---|---|
| TEFN | 0.264 | 0.181 | Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting | - |
| DiPE-Linear | - | 0.162 | Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | - |
| PRformer | - | 0.162 | PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting | - |
| RLinear | 0.253 | 0.164 | Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping | - |
| xPatch | 0.240 | 0.153 | xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition | - |
| MoLE-DLinear | - | 0.168 | Mixture-of-Linear-Experts for Long-term Time Series Forecasting | - |
| SCNN | - | 0.163 | Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting | - |
| LTBoost (drop_last=false) | 0.243 | 0.156 | LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting | |
| TSMixer | 0.255 | 0.164 | TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting | - |
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