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Multivariate-to-Univariate Forecasting on ECL

0.232MSEPAMNet
0.222840.284670.34650.40833May 1, 2026

Evaluation results

MethodLinks
PAMNetPrediction Length=962026.050.2320.341
TQNetPrediction Length=962026.050.2390.348
CrossLinearPrediction Length=962026.050.2510.359
TimeXerPrediction Length=962026.050.2610.366
PAMNetPrediction Length=1922026.050.2770.369
TQNetPrediction Length=1922026.050.2830.375
CrossLinearPrediction Length=1922026.050.2940.381
iTransformerPrediction Length=962026.050.2990.403
TimeXerPrediction Length=1922026.050.3160.397
PAMNetPrediction Length=Avg2026.050.3170.394
iTransformerPrediction Length=1922026.050.3210.413
TQNetPrediction Length=Avg2026.050.3230.404
CrossLinearPrediction Length=Avg2026.050.3230.405
TimeXerPrediction Length=Avg2026.050.3270.408
TQNetPrediction Length=3362026.050.3420.415
CrossLinearPrediction Length=3362026.050.3430.416
PAMNetPrediction Length=3362026.050.3450.411
TimeXerPrediction Length=7202026.050.3650.439
iTransformerPrediction Length=Avg2026.050.3650.442
TimeXerPrediction Length=3362026.050.3670.429
iTransformerPrediction Length=3362026.050.3790.446
CrossLinearPrediction Length=7202026.050.4030.465
PAMNetPrediction Length=7202026.050.4130.455
TQNetPrediction Length=7202026.050.4270.477
iTransformerPrediction Length=7202026.050.4610.504