Markup | Genome Research

Table 3.

Percentage of Misclassification in Discriminant Analysis by Data Set and Method Used

Data set		Parametric		NNET		Nonparametric		RM
Data set		LDA	LOG	NNET		QDA[i]	KER	RM	1NN	3NN
Alu21	40	32	NA	38	37	32	36	30
Alu8	49	35	51	35	49	42	38	37
β-globin	58	63	65	52	58	52	53	50
Y98	79	71	70	27	61	27	27	40
Y99	83	81	73	27	43	27	27	37

[i] The QDA method could not be used for the Alu21 data set because of the insufficient number of individuals with the complete, 21-locus genotype in some samples.(LDA) Linear discriminant analysis; (LOG) logistic discriminant analysis; (QDA) quadratic discriminant analysis; (NNET) neural networks; (KER) nonparametric discriminant analysis with Gaussian kernel; (1NN and 3NN) nonparametric discriminant analysis with, respectively, 1 and 3 nearest neighbors; (RM) Rannala and Mountain (1997) method.