Table 3.

The evaluation metrics for the SST prediction of different models.

Model	MAE	MSE	RMSE	R 2 (%)
ARIMA	0.9601 ± 0.4270	1.6392 ± 1.0761	1.1958 ± 0.4820	NA
D-tree	0.0772 ± 0.0170	0.0272 ± 0.0121	0.1346 ± 0.0318	99.49 ± 0.21
RF	0.0607 ± 0.0144	0.0190 ± 0.0106	0.1076 ± 0.0287	99.63 ± 0.19
SVR	0.0515 ± 0.0096	0.0138 ± 0.0072	0.0954 ± 0.0230	99.73 ± 0.13
LR	0.0651 ± 0.0144	0.0226 ± 0.0088	0.1302 ± 0.0251	99.88 ± 0.03
GRU-DNN	0.0498 ± 0.0353	0.0136 ± 0.0219	0.0934 ± 0.0738	99.74 ± 0.40