Skip to main content

Table 5 CM presents the confusion matrix of a run. The first row captures the number of true positives and false positives. The second row presents the number of false negatives and true negatives. Performance of GMLVQ using only the five most important features

From: Application of an interpretable classification model on Early Folding Residues during protein folding

CM

CA

PR

RE

F1

auROC

376

106

67.7

28.4

78.0

41.6

69.0

950

1834