[Retracted] Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection

Table 2

Result analysis of the DLFM-CMDFC model on the CIFAR-10.

No. of runs	Precision	Recall	Accuracy	F-score
Run-1	96.52	96.15	96.36	96.66
Run-2	95.75	97.45	96.90	94.77
Run-3	97.98	96.68	97.00	96.57
Run-4	97.51	95.93	97.02	93.50
Run-5	97.46	96.50	97.35	94.52
Run-6	97.78	96.70	97.20	97.23
Run-7	97.71	96.03	97.22	96.86
Run-8	96.98	96.68	96.00	96.82
Run-9	97.31	95.73	96.82	96.51
Run-10	97.66	96.70	97.55	97.17
Average	97.27	96.46	96.94	96.06