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. 2024 Feb 9;10(5):e25757. doi: 10.1016/j.heliyon.2024.e25757

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