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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).