BMC Medical Research Methodology

Table 2 Formula yielding a total of 124 classifiers

From: Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction

KNN:	5 values of p*	×	3 gene selection criteria	×	3 values of k	+
LDA:	2 values of p*	×	3 gene selection criteria			+
FDA:	2 values of p*	×	3 gene selection criteria			+
DLDA	5 values of p*	×	3 gene selection criteria			+
PLSLDA:	5 values of p*	×	3 gene selection criteria	×	2 values of ncomp	+
NNET:	5 values of p*	×	3 gene selection criteria			+
RF				×	4 values of mtry	+
SVM						+
PAM						+
L ₂						=
						124 classifiers

This table explains how we obtain a total of 124 classifiers.

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ISSN: 1471-2288

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