Time Series Forecasting On Etth2 96 2
평가 지표
MAE
MSE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | MAE | MSE | Paper Title | Repository |
|---|---|---|---|---|
| FiLM | 0.272 | 0.127 | FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting | - |
| PatchMixer | 0.268 | 0.119 | PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting | - |
| PatchTST/64 | 0.284 | 0.131 | A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | - |
| DLinear | 0.279 | 0.131 | Are Transformers Effective for Time Series Forecasting? | - |
| NLinear | 0.278 | 0.129 | Are Transformers Effective for Time Series Forecasting? | - |
| SegRNN | 0.272 | 0.121 | SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting | - |
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