Time Series Forecasting On Etth2 336 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 | MAE | MSE |
---|---|---|
segrnn-segment-recurrent-neural-network-for | 0.345 | 0.18 |
are-transformers-effective-for-time-series | 0.367 | 0.209 |
film-frequency-improved-legendre-memory-model | 0.367 | 0.204 |
informer-beyond-efficient-transformer-for | 0.323 | 0.166 |
patchmixer-a-patch-mixing-architecture-for | 0.332 | 0.166 |
a-time-series-is-worth-64-words-long-term | 0.336 | 0.171 |
are-transformers-effective-for-time-series | 0.355 | 0.194 |
long-term-series-forecasting-with-query | 0.3805 | 0.2191 |
time-series-is-a-special-sequence-forecasting | 0.329 | 0.166 |
long-term-series-forecasting-with-query | 0.371 | 0.2088 |