Table 4. Benchmarking against existing fraud detection models.
References | Acc | Prec | Recall | F1 | Training (s) | Testing (s) | Code |
---|---|---|---|---|---|---|---|
Aziz et al. (2022a) | 0.99 | 0.97 | 0.93 | 0.95 | No | No | No |
Aziz et al. (2022b) | 0.99 | 0.99 | 0.99 | 0.99 | No | No | No |
Aziz et al. (2023) | 0.99 | 0.96 | 0.94 | 0.97 | No | No | No |
Md et al. (2023) | 0.97 | 0.97 | 0.97 | 0.97 | No | No | No |
Ravindranath et al. (2024) | 0.98 | 0.98 | 0.97 | 0.97 | No | 0.235 | No |
Our Framework | 0.99 | 0.98 | 0.97 | 0.98 | 134.00 | 0.13 | Yes |
0.99 | 0.99 | 0.99 | 0.99 |