Time Series Forecasting On Etth1 336 2
Metrics
MAE
MSE
Results
Performance results of various models on this benchmark
Model Name | MAE | MSE | Paper Title | Repository |
|---|---|---|---|---|
| SCINet | 0.234 | 0.084 | SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction | - |
| Transformer | 0.3201 | 0.1541 | Long-term series forecasting with Query Selector -- efficient model of sparse attention | - |
| Informer | 0.346 | 0.189 | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | - |
| PatchMixer | 0.220 | 0.078 | PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting | - |
| NLinear | 0.226 | 0.081 | Are Transformers Effective for Time Series Forecasting? | - |
| SegRNN | 0.215 | 0.073 | SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting | - |
| DLinear | 0.244 | 0.098 | Are Transformers Effective for Time Series Forecasting? | - |
| PatchTST/64 | 0.22 | 0.076 | A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | - |
| FiLM | 0.229 | 0.083 | FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting | - |
| QuerySelector | 0.2844 | 0.1267 | Long-term series forecasting with Query Selector -- efficient model of sparse attention | - |
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