Table 11.

Performance of different classification algorithms for the grouped data of females.

Classifier	Accuracy	TPR	TNR	AUC	Precision	F-Score	G-Mean	Mean Rank
CDT	0.7119	0.8824	0.2727	0.5775	0.7576	0.8152	0.4906	4.86
LDA	0.6695	0.8118	0.3030	0.5574	0.7500	0.7797	0.4960	5.57
LR	0.6102	0.7529	0.2424	0.4977	0.7191	0.7356	0.4272	8.00
KNB	0.6356	0.7176	0.4242	0.5709	0.7625	0.7394	0.5518	5.00
MGSVM	0.7203	1.0000	0.0000	0.5000	0.7203	0.8374	0.0000	5.79
WKNN	0.7458	0.9765	0.1515	0.5640	0.7477	0.8469	0.3846	4.36
Ensemble	0.7458	0.8824	0.3939	0.6381	0.7895	0.8333	0.5896	2.43
SVM*	0.7203	1.0000	0.0000	0.5000	0.7203	0.8374	0.0000	5.79
kNN*	0.7373	0.9176	0.2727	0.5952	0.7647	0.8342	0.5003	3.21