HyperAI超神经

Time Series Forecasting On Etth1 96 2

评估指标

MAE
MSE

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称MAEMSE
patchmixer-a-patch-mixing-architecture-for0.1790.054
are-transformers-effective-for-time-series0.180.056
a-time-series-is-worth-64-words-long-term0.1890.059
are-transformers-effective-for-time-series0.1770.053
segrnn-segment-recurrent-neural-network-for0.180.053
film-frequency-improved-legendre-memory-model0.1780.055