Table 10.

Performance of different classification algorithms for the grouped data of Hispanic race.

Data	Accuracy	TPR	TNR	AUC	Precision	F-Score	G-Mean	Mean Rank
CDT	0.6260	0.5263	0.7121	0.6192	0.6122	0.5660	0.6122	8.29
LDA	0.6423	0.5614	0.7121	0.6368	0.6275	0.5926	0.6323	6.50
LR	0.6260	0.5614	0.6818	0.6216	0.6038	0.5818	0.6187	8.00
GNB	0.6504	0.6140	0.6818	0.6479	0.6250	0.6195	0.6470	5.64
MGSVM	0.6829	0.5614	0.7879	0.6746	0.6957	0.6214	0.6651	2.86
WKNN	0.6585	0.5439	0.7576	0.6507	0.6596	0.5962	0.6419	5.07
Ensemble	0.6585	0.5965	0.7121	0.6543	0.6415	0.6182	0.6517	4.57
SVM*	0.6748	0.6316	0.7121	0.6719	0.6545	0.6429	0.6706	3.00
kNN*	0.7724	0.6316	0.8939	0.7628	0.8372	0.7200	0.7514	1.07