HyperAI

Time Series Forecasting On Etth1 720 1

المقاييس

MAE
MSE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجMAEMSE
long-term-series-forecasting-with-query0.83991.108
disentangled-interpretable-representation-for-0.409
revisiting-long-term-time-series-forecasting0.4560.442
xpatch-dual-stream-time-series-forecasting0.4590.442
sparsetsf-modeling-long-term-time-series-0.426
are-transformers-effective-for-time-series0.490.472
are-transformers-effective-for-time-series0.4530.44
prformer-pyramidal-recurrent-transformer-for-0.489
long-term-forecasting-with-tide-time-series0.4650.454
patchmixer-a-patch-mixing-architecture-for0.4630.445
النموذج 110.53730.5923
time-series-is-a-special-sequence-forecasting0.5270.544
mixture-of-linear-experts-for-long-term-time-0.505
segrnn-segment-recurrent-neural-network-for0.4470.434
ltboost-boosted-hybrids-of-ensemble-linear0.4490.435
long-term-series-forecasting-with-query0.84281.115
tsmixer-lightweight-mlp-mixer-model-for0.4670.444
informer-beyond-efficient-transformer-for0.7680.941
a-time-series-is-worth-64-words-long-term0.4680.447
time-evidence-fusion-network-multi-source0.4640.475
mixture-of-linear-experts-for-long-term-time-0.449
film-frequency-improved-legendre-memory-model0.4720.465