IFNG and leprosy: The DT algorithm proposed to classify the patients with leprosy into subgroups according to the operational classification showed CCL3 as a root attribute (cutoff = 12 pg/ml) and IFN-γ (cutoff = 0.1 pg/ml) as a branch biomarker for classifying L(MB) and L(PB), which had high accuracy (93%) and cross-validation (LOOCV = 82%).