Table 4.

The evaluation metrics for the SWH prediction of different models.

Model	MAE	MSE	RMSE	R 2 (%)
ARIMA	0.4786 ± 0.2648	0.5060 ± 42.26	0.6311 ± 0.3460	NA
D-tree	0.0709 ± 0.0099	0.0203 ± 0.0061	0.1282 ± 0.0207	94.13 ± 1.23
RF	0.0646 ± 0.0096	0.0174 ± 0.0061	0.1164 ± 0.0207	95.01 ± 1.25
SVR	0.0698 ± 0.0087	0.0198 ± 0.0066	0.1259 ± 0.0210	92.96 ± 2.55
LR	0.0681 ± 0.0094	0.0196 ± 0.0065	0.1248 ± 0.0213	94.42 ± 1.20
GRU-DNN	0.0673 ± 0.0293	0.0186 ± 0.0195	0.1218 ± 0.0652	94.63 ± 3.77