Table 2 Prediction performance on nMAE... | Emerald Publishing

Table 2

Prediction performance on nMAE and nMSE of shagaya poly-SI dataset.

						Auto-MLSHM				T-MLSHM				Auto-MLHM				T-MLHM
Approach	Theta Model	LSTM	GRU	Auto-LSTM	Auto-GRU	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4
nMAE	0.057	0.0536	0.0346	0.0806	0.0526	0.044	0.0438	0.0438	0.0424	0.0341	0.0341	0.0341	0.0327	0.045	0.0447	0.0447	0.0423	0.0514	0.0513	0.0513	0.0499
nMSE	0.00695	0.0037	0.00243	0.00891	0.00429	0.00318	0.00316	0.00316	0.00305	0.00213	0.00214	0.00215	0.00197	0.00274	0.00271	0.00271	0.00241	0.00393	0.00393	0.00393	0.00396

						Auto-MLSHM				T-MLSHM				Auto-MLHM				T-MLHM
Approach	Theta Model	LSTM	GRU	Auto-LSTM	Auto-GRU	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4	EN1	EN2	EN3	EN4
nMAE	0.057	0.0536	0.0346	0.0806	0.0526	0.044	0.0438	0.0438	0.0424	0.0341	0.0341	0.0341	0.0327	0.045	0.0447	0.0447	0.0423	0.0514	0.0513	0.0513	0.0499
nMSE	0.00695	0.0037	0.00243	0.00891	0.00429	0.00318	0.00316	0.00316	0.00305	0.00213	0.00214	0.00215	0.00197	0.00274	0.00271	0.00271	0.00241	0.00393	0.00393	0.00393	0.00396