Multivariate Time Series Forecasting on Traffic (MAE) benchmark leaderboard · SOTA2 Research

Multivariate Time Series Forecasting on Traffic (MAE)

0.239MAEITS-Mina

Evaluation Results

Method	Links
ITS-Mina2026.04		0.239
PatchMixer2026.04		0.245
CI-TSMixer2026.04		0.248
ITS-Mina2026.04		0.249
PatchTST2026.04		0.251
ITS-Mina2026.04		0.253
PatchMixer2026.04		0.254
CI-TSMixer2026.04		0.257
PatchMixer2026.04		0.258
PatchTST2026.04		0.259
CI-TSMixer2026.04		0.262
PatchTST2026.04		0.265
iTransformer2026.04		0.268
iTransformer2026.04		0.274
iTransformer2026.04		0.28
ITS-Mina2026.04		0.281
DLinear2026.04		0.282
CI-TSMixer2026.04		0.283
PatchMixer2026.04		0.283
DLinear2026.04		0.285
PatchTST2026.04		0.287
iTransformer2026.04		0.287
Crossformer2026.04		0.29
Crossformer2026.04		0.293
MICN2026.04		0.295
DLinear2026.04		0.295
Crossformer2026.04		0.296
MICN2026.04		0.309
MICN2026.04		0.309
DLinear2026.04		0.315
TimesNet2026.04		0.321
MICN2026.04		0.327
Crossformer2026.04		0.328
TimesNet2026.04		0.336
TimesNet2026.04		0.336
TimesNet2026.04		0.35
FEDformer2026.04		0.359
Autoformer2026.04		0.371
FEDformer2026.04		0.375
FEDformer2026.04		0.375
FEDformer2026.04		0.375
Autoformer2026.04		0.382
Autoformer2026.04		0.387
Autoformer2026.04		0.395
Informer2026.04		0.41
Informer2026.04		0.434
Informer2026.04		0.435
Informer2026.04		0.466