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

Table 4

Comparison on PCA-SVC models established with different NPCs.

Model number	NPC	C		Accuracy rate (%)
				3-fold cross-validation	Calibration set	Prediction set
SVC-5	1	64	4.29497  10^9	59.5238	80.9524	63.6364
SVC-6	2	3.35544  10^7	32768	66.6667	71.4286	68.1818
SVC-7	3	4.1943  10^6	262144	66.6667	85.7143	81.8182
SVC-8	4	2521.38	1.27148  10^7	71.4286	90.4762	77.2727
SVC-9	5	23170.5	3.65135  10^6	73.8095	97.6190	72.7273
SVC-10	6	26615.9	794672	73.8095	90.4762	77.2727
SVC-11	7	26615.9	1.2045  10^6	78.5714	97.6190	81.8182
SVC-12	8	5.93164  10^6	5792.62	83.3333	100	81.8182
SVC-13	9	131072	262144	80.9524	100	81.8182
SVC-14	10	1.04858  10^6	65536	80.9524	100	77.2727