Time Series Forecasting On Etth1 192 2

MAE

MSE

评测结果

各个模型在此基准测试上的表现结果

模型名称	MAE	MSE	Paper Title
PatchTST/64	0.215	0.074	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
SegRNN	0.208	0.068	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
DLinear	0.204	0.071	Are Transformers Effective for Time Series Forecasting?
FiLM	0.207	0.072	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
PatchMixer	0.198	0.066	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

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