Research Article
[Retracted] Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection
Table 1
Result analysis of DLFM-CMDFC model on MNIST dataset.
| No. of runs | Precision | Recall | Accuracy | F-score |
| Run-1 | 96.38 | 93.71 | 94.29 | 95.98 | Run-2 | 93.83 | 95.51 | 94.61 | 93.93 | Run-3 | 93.54 | 97.30 | 94.88 | 97.19 | Run-4 | 96.54 | 95.52 | 96.45 | 97.32 | Run-5 | 96.80 | 97.43 | 96.87 | 94.69 | Average | 95.42 | 95.89 | 95.42 | 95.82 |
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