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 |