Next round of multivariate statistical analysis was performed to evaluate the efficiency of the identified serum proteins to discriminate the FM, VM and FC (patients suffering from leptospiral infection) ( Figure 5A ). 6 differentially expressed proteins (Table S8 .3A) identified in 2D-DIGE were implicated as potential classifiers. Table S8 .3B summarizes the percentage of the samples correctly classified during model training, cross-validation and independent prediction respectively using different classifiers. We achieved, 100% overall prediction accuracy with Decision Trees; 95.83% with SVM and Naïve Bayes and 91.67% with PLS-DA on independent prediction [FM (n = 8), VM (n = 8) and Lep (n = 6)]. Table S8 .1C, S8.2C and S8.3C, provides additional details on the confidence measure obtained on blinded prediction for each subject using a given statistical method. The confidence measure defines the strength of the prediction belonging to the particular class.