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Table 5 Results of Bayesian analysis comparing the efficiency for all reference models with SRCNet

From: A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting

Dataset

Reference

p (reference>SRCNet)

p (Rope)

p (SRCNet>reference)

ETTh1

CNN

0

1

0

NBEATS

0.31

0.69

0

HLNet

0.25

0.75

0

SCINet

1

0

0

ETTh2

CNN

0

1

0

NBEATS

0

1

0

HLNet

0.02

0.98

0

SCINet

1

0

0