Time Series Forecasting On Etth1 96 2
Metriken
MAE
MSE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | MAE | MSE |
---|---|---|
patchmixer-a-patch-mixing-architecture-for | 0.179 | 0.054 |
are-transformers-effective-for-time-series | 0.18 | 0.056 |
a-time-series-is-worth-64-words-long-term | 0.189 | 0.059 |
are-transformers-effective-for-time-series | 0.177 | 0.053 |
segrnn-segment-recurrent-neural-network-for | 0.18 | 0.053 |
film-frequency-improved-legendre-memory-model | 0.178 | 0.055 |