Time Series Forecasting On Etth2 96 1
評価指標
MSE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | MSE |
|---|---|
| mixture-of-linear-experts-for-long-term-time | 0.273 |
| disentangled-interpretable-representation-for | 0.275 |
| prformer-pyramidal-recurrent-transformer-for | 0.268 |
| are-transformers-effective-for-time-series | 0.277 |
| mixture-of-linear-experts-for-long-term-time | 0.287 |
| ltboost-boosted-hybrids-of-ensemble-linear | 0.263 |
| patchmixer-a-patch-mixing-architecture-for | 0.225 |
| segrnn-segment-recurrent-neural-network-for | 0.263 |
| xpatch-dual-stream-time-series-forecasting | 0.226 |
| long-term-forecasting-with-tide-time-series | 0.27 |
| film-frequency-improved-legendre-memory-model | 0.284 |
| tsmixer-lightweight-mlp-mixer-model-for | 0.276 |
| revisiting-long-term-time-series-forecasting | 0.262 |
| time-evidence-fusion-network-multi-source | 0.288 |
| are-transformers-effective-for-time-series | 0.289 |
| a-time-series-is-worth-64-words-long-term | 0.274 |