The SVM classifiers distinguished active TB from both classes of symptomatic controls. The ROC curves in Figure 5 (a-f) summarize the performance of the classifiers, in terms of the tradeoff between sensitivity and specificity, for each of the different comparisons. In each case, the area under the curve (AUC) exceeded 0.9, irrespective of whether crude or pre-fractionated plasma was analyzed, indicating a high level of discrimination. Tables 2 and 3 and Tables S1 and S2 summarize the performance of the classifiers in discriminating active from latent tuberculosis in symptomatic patients using the number of selected relevant m/z clusters ( Table 3 in brackets). It was possible to distinguish patients with active TB from undifferentiated symptomatic controls with partially overlapping respiratory and constitutional symptoms with an overall accuracy of 85% using crude spectra with 98 relevant m/z clusters (Table 2, Table 3 , Figure 5a) . A higher specificity for active TB (90% vs. 84%, p,0.001) was achieved using prefractionated plasma with a total of 54 relevant m/z clusters ( Table 2, Table 3 , Figure 5b) . Notably, these levels of discrimination were achieved despite nearly half of the symptomatic controls having LTBI (Table 1) .