Table 2.

Regression algorithms comparison for ${\theta }_{\mathit{TM}}$, one-step regression

	$R^2$	$RMSE\%$	Training time (min)	Estimated prediction time (ms) for each sample point
LR	0.8734 ± 0.05	8.98 ± 1.27	0.008 ± 0.01	0.0006
SVR	0.9415 ± 0.02	6.12 ± 0.83	2.35 ± 0.45	0.585
NNR	0.9110 ± 0.03	7.53 ± 0.97	32.00 ± 3.38	2.449
RF	0.9411 ± 0.02	6.13 ± 0.84	0.95 ± 0.08	0.076