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Table 3 Performance estimates of different classifiers evaluated using 10 runs of 10-fold cross-validation procedure

From: Machine learning based refined differential gene expression analysis of pediatric sepsis

Model ACC Sn Sp MCC AUC
RF100 88.6% 0.31 0.98 0.37 0.86
LR 87.6% 0.55 0.93 0.50 0.89
XGB100 86.9% 0.37 0.95 0.37 0.86