Table 8.
Cross-data validation accuracy corresponding to the suggested convolution network.
Training Dataset | Class |
Proposed Model-ACU |
|||||
---|---|---|---|---|---|---|---|
Real | Fake | FS (%) | F2F (%) | NT (%) | DFDC (%) | C-DF (%) | |
FS | 988 | 983 | 99.36 | 61.7 | 68.71 | 64.22 | 49.13 |
F2F | 988 | 978 | 65.23 | 99.53 | 65.9 | 75.22 | 70.05 |
NT | 988 | 950 | 47.98 | 84.82 | 99.5 | 71.19 | 80.39 |
DFDC | 1000 | 980 | 49.68 | 74.25 | 78.55 | 99.36 | 65.23 |
C-DF | 475 | 950 | 55.88 | 77.22 | 80.23 | 71.56 | 92.22 |