HyperAI

Time Series Forecasting On Etth1 96 1

المقاييس

MAE
MSE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجMAEMSE
xpatch-dual-stream-time-series-forecasting0.3790.354
film-frequency-improved-legendre-memory-model0.3940.371
long-term-forecasting-with-tide-time-series0.3980.375
disentangled-interpretable-representation-for-0.369
mixture-of-linear-experts-for-long-term-time-0.377
ltboost-boosted-hybrids-of-ensemble-linear0.3820.357
revisiting-long-term-time-series-forecasting0.3910.366
ttms-fast-multi-level-tiny-time-mixers-for-0.36
tsmixer-lightweight-mlp-mixer-model-for0.3980.368
time-evidence-fusion-network-multi-source0.3910.383
segrnn-segment-recurrent-neural-network-for0.3760.341
patchmixer-a-patch-mixing-architecture-for0.3810.353
mixture-of-linear-experts-for-long-term-time-0.375
prformer-pyramidal-recurrent-transformer-for-0.354
a-time-series-is-worth-64-words-long-term0.40.37