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. 2011 Oct 11;5(10):e1354. doi: 10.1371/journal.pntd.0001354

Table 3. Summary of the results of the decision tree classifier for leprosy diagnosis.

Assay Mean 10-fAcc.(CI 95%)[1] Sensitivity Specificity AUC[2]
RLEP 0.871 [0.762, 0.943] 0.915 0.733 0.824
16S rRNA 0.629 [0.497, 0.748] 0.511 1 0.756
sodA 0.597 [0.464, 0.720] 0.468 1 0.734
Ag 85B 0.661 [0.530, 0.777] 0.553 1 0.777
All 0.871 [0.762, 0.943] 0.915 0.733 0.824
[1]

Mean 10-fold cross-validation accuracy with 95% confidence interval;

[2]

Approximate area under ROC curve.