Table 7.

Performance metrics based on QPFS feature selection technique with ML classifiers using five-fold stratified cross-validation

ML Classifier	Ac (in %)	Sen (in %)	Spe (in %)	F1-score (in %)	MCC (in %)	AUC (in %)
SVM	95.37	95.37	97.68	95.34	93.10	99.54
LR	94.91	94.91	97.45	94.90	92.39	99.47
kNN	92.87	92.87	96.43	92.79	89.46	97.61
DT	86.12	86.12	93.06	86.05	79.40	93.67
RF	93.62	93.62	96.81	93.60	90.46	99.06
XGB	95.75	95.75	97.87	95.74	93.63	99.56