Table 3.
Number of features | Values, mean (SD) | |||||
|
ACCa | Senb | Spec | PPVd | NPVe | AUROC |
886 (All) | 0.782f (0.004) | 0.716 (0.005) | 0.824 (0.005) | 0.71 (0) | 0.828 (0.004) | 0.865 (0.0018) |
150 (RFEg) | 0.77 (0) | 0.696 (0.005) | 0.814 (0.005) | 0.694 (0.005) | 0.818 (0.004) | 0.853 (0.0018) |
50 (RFE and FIh) | 0.76 (0) | 0.67 (0.006) | 0.812 (0.004) | 0.682 (0.004) | 0.802 (0.004) | 0.840 (0.00096) |
aACC: accuracy.
bSen: sensitivity.
cSpe: specificity.
dPPV: positive predictive value.
eNPV: negative predictive value.
fThe italicized values refer to the highest score of each metric.
gRFE: recursive feature elimination.
hFI: feature importance.