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Table 4 Performance estimates of LR classifiers evaluated using 10 runs of 10-fold cross-validation procedure and different set of genes

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

Gene set ACC Sn Sp MCC AUC
DEGs 80.3% 0.41 0.87 0.26 0.75
top10_fc 85.7% 0.41 0.93 0.36 0.85
top10_pv 86.2% 0.40 0.94 0.38 0.84
top10_ml 87.6% 0.55 0.93 0.50 0.89