Hybrid Encryption Method for Health Monitoring Systems Based on Machine Learning

Table 2

Experimental results for parameters of proposed system.

Name of the object	Sensitivity		Specificity		Accuracy		Retrieval score
	Exis.	Pro.	Exis.	Pro.	Exis.	Pro.	Exis.	Pro.
Roses	0.85	0.9	0.75	0.8	0.75	0.8	0.86	0.9
Dinosaur	0.88	0.93	0.8	0.85	0.85	0.9	0.9	0.95
Buses	0.9	0.98	0.85	0.9	0.9	0.95	0.95	0.99
Cars	0.75	0.8	0.7	0.75	0.68	0.75	0.75	0.8
Sun X-ray	0.75	0.8	0.65	0.7	0.65	0.76	0.7	0.77
Scenery	0.87	0.9	0.8	0.85	0.8	0.88	0.85	0.9
Spectacles	0.86	0.9	0.78	0.85	0.85	0.92	0.93	0.97
Average	0.85	0.882	0.78	0.814	0.83	0.851	0.86	0.897