Time Series Forecasting on Traffic v1 (test)
0.435MSEMI-TGAM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MI-TGAMSurrogate Model=SegRNN, Target Model=iTransformer2026.02 | 0.435 | 0.304 | — | |
| MI-TGAMSurrogate Model=FreTS, Target Model=iTransformer2026.02 | 0.436 | 0.304 | 5.8 | |
| BOSurrogate Model=SegRNN, Target Model=Average2026.02 | 0.53 | 0.333 | — | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=Average2026.02 | 0.551 | 0.349 | — | |
| CleanSurrogate Model=FreTS, Target Model=Average2026.02 | 0.572 | 0.323 | 0 | |
| MI-TGAMSurrogate Model=FreTS, Target Model=Average2026.02 | 0.585 | 0.336 | 2.2 | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=FreTS2026.02 | 0.594 | 0.399 | — | |
| MI-TGAMSurrogate Model=SegRNN, Target Model=TimesNet2026.02 | 0.625 | 0.343 | — | |
| MI-TGAMSurrogate Model=FreTS, Target Model=TimesNet2026.02 | 0.625 | 0.345 | 2.4 | |
| MI-TGAMSurrogate Model=FreTS, Target Model=SegRNN2026.02 | 0.693 | 0.358 | 0.1 |