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 |