Time Series Forecasting On Etth1 96 2
評価指標
MAE
MSE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | MAE | MSE | Paper Title | Repository |
|---|---|---|---|---|
| PatchMixer | 0.179 | 0.054 | PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting | |
| DLinear | 0.18 | 0.056 | Are Transformers Effective for Time Series Forecasting? | |
| PatchTST/64 | 0.189 | 0.059 | A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | |
| NLinear | 0.177 | 0.053 | Are Transformers Effective for Time Series Forecasting? | |
| SegRNN | 0.18 | 0.053 | SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting | |
| FiLM | 0.178 | 0.055 | FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting |
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