Time Series Forecasting on ECL v1 (test)
0.18MSEMI-TGAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MI-TGAMSurrogate Model=SegRNN, Target Model=iTransformer2026.02 | 0.18 | 0.28 | — | |
| MI-TGAMSurrogate Model=FreTS, Target Model=iTransformer2026.02 | 0.181 | 0.28 | 17.5 | |
| ADJMSurrogate Model=SegRNN, Target Model=Average2026.02 | 0.206 | 0.298 | — | |
| CleanSurrogate Model=FreTS, Target Model=Average2026.02 | 0.206 | 0.293 | 0 | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=FreTS2026.02 | 0.221 | 0.315 | — | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=Average2026.02 | 0.226 | 0.317 | — | |
| MI-TGAMSurrogate Model=FreTS, Target Model=Average2026.02 | 0.229 | 0.319 | 10.9 | |
| MI-TGAMSurrogate Model=FreTS, Target Model=SegRNN2026.02 | 0.233 | 0.322 | 12.9 | |
| MI-TGAMSurrogate Model=FreTS, Target Model=TimesNet2026.02 | 0.273 | 0.355 | 5.4 | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=TimesNet2026.02 | 0.277 | 0.358 | — |