. 2022 Oct 17;27(20):6969. doi: 10.3390/molecules27206969

Table 1.

Comparisons between performance parameters of four quantitative calibration models established with different regression algorithms.

Algorithms	Objectives	Calibration		Cross-Validation		Prediction
Algorithms	Objectives	$R_{c}^{2}$	RMSEC	$R_{c v}^{2}$	RMSECV	$R_{p}^{2}$	RMSEP
SPA-SVR	Danshensu	−1.3462	0.0205	−1.6672	0.0176	−1.4600	0.0265
	Ferulic acid	−4.6801	0.0145	−5.2301	0.0423	−0.0021	0.0158
	Rosmarinic acid	0.5132	0.0424	0.4102	0.0644	0.3652	0.0448
	Salvianolic acid B	0.8718	0.2929	0.7189	0.2034	0.8100	0.3580
	Soluble solid	0.8185	0.6091	0.7033	0.7651	0.7189	0.7647
CARS-PLSR	Danshensu	0.9979	0.0011	0.9223	0.0031	0.6382	0.0163
	Ferulic acid	0.9843	0.0045	0.9456	0.0025	0.8483	0.0057
	Rosmarinic acid	0.9904	0.1539	0.9754	0.1634	0.9457	0.0092
	Salvianolic acid B	0.9958	0.0584	0.9192	0.1345	0.8696	0.3749
	Soluble solid	0.9904	0.1539	0.9312	0.2745	0.9282	0.4512
CNN	Danshensu	0.8694	0.0086	0.8423	0.0035	0.8212	0.0096
	Ferulic acid	0.8893	0.1197	0.7356	0.0768	0.7163	0.0213
	Rosmarinic acid	0.9285	0.0098	0.8749	0.0167	0.8450	0.0143
	Salvianolic acid B	0.8906	0.2988	0.8876	0.3758	0.8544	0.3371
	Soluble solid	0.8857	0.5389	0.8831	0.5775	0.8554	0.5812
CARS-CNN	Danshensu	0.9893	0.0024	0.9423	0.0051	0.8458	0.0094
	Ferulic acid	0.9875	0.0016	0.9335	0.0035	0.8667	0.0084
	Rosmarinic acid	0.9551	0.0078	0.9464	0.0079	0.8491	0.0145
	Salvianolic acid B	0.9943	0.1953	0.9213	0.1886	0.9246	0.2528
	Soluble solid	0.9526	0.1197	0.9384	0.3188	0.9415	0.3861