Ensemble of Deep Learning Based Clinical Decision Support System for Chronic Kidney Disease Diagnosis in Medical Internet of Things Environment

Table 2

Comparative analysis of various classifiers on CKD dataset.

Models	Performance measures
	Sensitivity	Specificity	Accuracy	F-score
EDL-CDSS	0.9680	0.9702	0.9691	0.9692
DBN model	0.9618	0.9686	0.9643	0.9651
CNN-GRU model	0.9601	0.9653	0.9627	0.9659
KELM model	0.9599	0.9624	0.9611	0.9660
FNC model	0.9597	0.9612	0.9605	0.9665
D-ACO	0.9614	0.9354	0.9530	0.9620
MLP classifier	0.9251	0.9305	0.9265	0.9424
Decision tree	0.9060	0.8944	0.9026	0.9241
ACO	0.8910	0.8487	0.8778	0.9073