Table 7 Comparative analysis of precision, recall and F-measure for existing LDOP and proposed NSVM-CNN

From: An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier

No of image retrieved	LFW dataset
	Precision		Recall		F-measure
	LDOP	NSVM-CNN	LDOP	NSVM-CNN	LDOP	NSVM-CNN
10	100	25	30	40	46.15385	30.76923
20	70	32	38	46	49.25926	37.74359
30	60	37	46	53	52.07547	43.57778
40	50	42	55	58	52.38095	48.72
50	45	48.78	60	64.5	51.42857	55.54926
60	40	54.6	63	70.6	48.93204	61.57764
70	38	60.2	68	76.7	48.75472	67.45566
80	34	65.8	72	84.8	46.18868	74.10146
90	30	73.4	75	92.9	42.85714	82.00673
100	25	80	80	100	38.09524	88.88889

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