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

Table 2

Result analysis of the FSHDL-HDDC technique with different measures.

No. Of iterations	Sensitivity	Specificity	Precision	Accuracy	F-score	MCC
Iteration-1	98.17	97.12	97.58	97.69	97.87	95.35
Iteration-2	98.17	99.28	99.38	98.68	98.77	97.35
Iteration-3	97.56	96.40	96.97	97.03	97.26	94.02
Iteration-4	98.17	95.68	96.41	97.03	97.28	94.03
Iteration-5	96.95	98.58	98.76	97.70	97.85	95.41
Iteration-6	100.00	97.12	97.62	98.68	98.80	97.37
Iteration-7	98.17	96.40	96.99	97.36	97.58	94.69
Iteration-8	100.00	96.40	97.04	98.35	98.50	96.72
Iteration-9	98.17	97.84	98.17	98.02	98.17	96.01
Iteration-10	96.95	96.40	96.95	96.70	96.95	93.35
Average	98.23	97.12	97.59	97.72	97.90	95.43