Prediction of Radix Astragali Immunomodulatory Effect of CD80 Expression from Chromatograms by Quantitative Pattern-Activity Relationship

Table 2

The results of the models built by three algorithms (PLS and EN-PLS).

Model	# of variables	Optimum # of PLS components	Training set			Test set
				RMSET	RMSECV		RMSEP
PLS	10493	8	0.87	5.95	16.63	0.34	12.70
EN-PLS	309	7	0.93	4.34	6.93	0.55	11.66

is correlation coefficient of regression between the predicted and experimental activities of the extracts ( refers to training set and refers to the test set); RMSET is the fitting error of the model in the training; RMSECV is the Root Mean Squared Errors of Cross-Validation; RMSEP is Root Mean Squared Errors of Prediction of the test set; is the cross-validated which is calculated by the equation: .