Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches

Journal of Wood Science

Official Journal of the Japan Wood Research Society

Table 4 Statistical summary of discriminant models for species classification based on tablet samples

Groups	Spectra pretreatment	Factors	Calibration set		Prediction set		Correct prediction (%)
Groups	Spectra pretreatment	Factors	R ²_c	RMSEC	R ²_p	RMSEP	Correct prediction (%)
A	Original	6	0.94	0.25	0.93	0.27	100
A	Second derivative	2	0.93	0.26	0.95	0.24	100
B	Original	7	0.95	0.21	0.95	0.22	100
B	Second derivative	2	0.96	0.20	0.95	0.21	100
C	Original	7	0.88	0.35	0.87	0.36	100
C	Second derivative	3	0.89	0.33	0.92	0.28	100
D	Original	6	0.92	0.28	0.88	0.34	100
D	Second derivative	2	0.88	0.34	0.93	0.26	100
E	Original	9	0.90	0.31	0.94	0.31	100
E	Second derivative	4	0.89	0.34	0.89	0.37	100

R ²_c coefficient of determination for calibration, R ²_p coefficient of determination for prediction, RMSEC root mean square error of calibration, RMSEP root mean square error of prediction