Time Series Forecasting On Etth2 336 2
Metrics
MAE
MSE
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | MAE | MSE |
|---|---|---|
| segrnn-segment-recurrent-neural-network-for | 0.345 | 0.18 |
| are-transformers-effective-for-time-series | 0.367 | 0.209 |
| film-frequency-improved-legendre-memory-model | 0.367 | 0.204 |
| informer-beyond-efficient-transformer-for | 0.323 | 0.166 |
| patchmixer-a-patch-mixing-architecture-for | 0.332 | 0.166 |
| a-time-series-is-worth-64-words-long-term | 0.336 | 0.171 |
| are-transformers-effective-for-time-series | 0.355 | 0.194 |
| long-term-series-forecasting-with-query | 0.3805 | 0.2191 |
| time-series-is-a-special-sequence-forecasting | 0.329 | 0.166 |
| long-term-series-forecasting-with-query | 0.371 | 0.2088 |