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. 2014 Jan 28;9(1):e87107. doi: 10.1371/journal.pone.0087107

Figure 1. Comparing LDA classifiers with ROC analysis.

Figure 1

Performance evaluation using ROC analysis for the tryptophan LDA classifier (a), glycine LDA classifier (b) and the aggregated result (in gray) of the 20 independent amino acid LDA classifiers (d). In blue, 10 ROC curves (from 10-fold cross validation tests) are presented for the classifier that is not specific to the type of amino acid. Ten-fold cross validation was used, and the performance indicators AUC and MCC are displayed for both classifiers in (a) and (b). The results for all generated classifiers are shown in (c): the AUC (white) and MCC (gray). Tryptophan serves as the best classifier but is closely followed by (in AUC criteria) aspartic acid, methionine, isoleucine, leucine and valine. The Sting-LDA aggregated classifier, which uses 20 amino acid-specific classifiers with no WNA descriptors, has an AUC average of 0.828, whereas the amino acid-unspecific classifier has an AUC average of 0.751.