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 3 Statistical summary of discriminant models for species classification based on wood block 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	4	0.95	0.23	0.95	0.21	100
A	Second derivative	2	0.91	0.30	0.91	0.30	100
B	Original	6	0.86	0.37	0.89	0.34	100
B	Second derivative	4	0.90	0.32	0.91	0.30	100
C	Original	3	0.92	0.29	0.94	0.24	100
C	Second derivative	2	0.92	0.27	0.90	0.32	100
D	Original	6	0.89	0.34	0.90	0.32	100
D	Second derivative	3	0.91	0.30	0.90	0.32	100
E	Original	7	0.89	0.33	0.90	0.33	99.7
E	Second derivative	5	0.92	0.28	0.93	0.28	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