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. 2017 Jan 4;8(6):9546–9556. doi: 10.18632/oncotarget.14488

Figure 2. Unclassified OTUs increased the test performance compared with classified OTUs.

Figure 2

(A) The test performance of different models using OTUs dataset classified or not on study population A was displayed using AUC. (B) ROC curves show the test performance of the Bayes DMNB text algorithm using OTUs dataset classified or not. TPR (sensitivity) and FPR (false positive rate=1-sensitivity) were also shown. (C) Confusion Matrix of Bayes.DMNB text algorithm using OTUs unclassified in population A. *P < 0.05, **P < 0.01.