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Table 1 Highest quality obtained from the DT and MCA classifiers

From: Examining the significance of fingerprint-based classifiers

Cases & Controls

 

MCA

 

DT

5 Peaks

6 Peaks

7 Peaks

30

200.0

200.0

200.0

200.0

42

190.5

197.6

197.6

197.6

60

178.3

193.3

193.3

195.0

90

166.7

187.8

188.9

191.1

150

155.3

183.3

185.3

187.3

300

138.3

170.3

179.0

180.3

  1. The reported quality is the largest sum of the sensitivity and specificity (in percent) found across the five random datasets for each number of Cases and Controls for a decision tree (DT) using at most seven decision nodes and the medoid classifier algorithm (MCA).
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BMC Bioinformatics

ISSN: 1471-2105

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