Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm

Table 5

Validation and predictive results of PLSR models with different pretreatment methods.

Model number	Pretreatment	6-fold cross-validation			External validation			RMSEE (%)	NPC
		RMSECV (%)	R^2 (%)	RPD	RMSEP (%)	R^2 (%)	RPD
PLSR-1	Raw	0.42	90.50	2.85	0.51	80.78	2.30	0.27	9
PLSR-2	VN	0.47	87.22	2.51	0.43	84.3	2.51	0.34	5
PLSR-3	FD	0.46	88.14	2.53	0.46	84.41	2.39	0.31	6
PLSR-4	FD + VN	0.41	90.71	3.04	0.43	85.84	2.53	0.32	5
PLSR-5	MSC	0.44	89.63	2.69	0.50	81.72	2.39	0.26	8
PLSR-6	FD + MSC	0.40	90.95	2.96	0.44	85.61	2.51	0.31	5