A Novel Feature Selection with Hybrid Deep Learning Based Heart Disease Detection and Classification in the e-Healthcare Environment

Table 3

Comparative analysis of the FSHDL-HDDC method with existing manners.

Methods	Accuracy	Specificity	Sensitivity	MCC	Execution time (min)
FSHDL-HDDC	0.9772	0.9712	0.9823	0.9543	0.0004
LR model	0.8867	0.9600	0.9800	0.9100	0.0007
KNN algorithm	0.8211	0.8700	0.7400	0.7900	0.0546
ANN model	0.7523	0.8800	0.5900	0.7400	0.3894
SVM model	0.9237	0.9800	0.8900	0.9000	0.0950
NB algorithm	0.8601	0.8900	0.7900	0.8500	0.0355
DT algorithm	0.7912	0.9200	0.8900	0.8000	0.0154