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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