Time Series Forecasting On Etth1 720 1
المقاييس
MAE
MSE
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | MAE | MSE |
---|---|---|
long-term-series-forecasting-with-query | 0.8399 | 1.108 |
disentangled-interpretable-representation-for | - | 0.409 |
revisiting-long-term-time-series-forecasting | 0.456 | 0.442 |
xpatch-dual-stream-time-series-forecasting | 0.459 | 0.442 |
sparsetsf-modeling-long-term-time-series | - | 0.426 |
are-transformers-effective-for-time-series | 0.49 | 0.472 |
are-transformers-effective-for-time-series | 0.453 | 0.44 |
prformer-pyramidal-recurrent-transformer-for | - | 0.489 |
long-term-forecasting-with-tide-time-series | 0.465 | 0.454 |
patchmixer-a-patch-mixing-architecture-for | 0.463 | 0.445 |
النموذج 11 | 0.5373 | 0.5923 |
time-series-is-a-special-sequence-forecasting | 0.527 | 0.544 |
mixture-of-linear-experts-for-long-term-time | - | 0.505 |
segrnn-segment-recurrent-neural-network-for | 0.447 | 0.434 |
ltboost-boosted-hybrids-of-ensemble-linear | 0.449 | 0.435 |
long-term-series-forecasting-with-query | 0.8428 | 1.115 |
tsmixer-lightweight-mlp-mixer-model-for | 0.467 | 0.444 |
informer-beyond-efficient-transformer-for | 0.768 | 0.941 |
a-time-series-is-worth-64-words-long-term | 0.468 | 0.447 |
time-evidence-fusion-network-multi-source | 0.464 | 0.475 |
mixture-of-linear-experts-for-long-term-time | - | 0.449 |
film-frequency-improved-legendre-memory-model | 0.472 | 0.465 |