Fraud Detection on Synthetic Credit Card Fraud (test)
0.9513PrecisionRandom Forest
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Random ForestNumber of Samples=75, Oversampler=VAE-GAN+CPAC2025.07 | 0.9513 | 0.8882 | 0.9174 | 0.9589 | |
| Random ForestNumber of Samples=100, Oversampler=VAE-GAN+CPAC2025.07 | 0.9461 | 0.8907 | 0.9166 | 0.95 | |
| XGBoostNumber of Samples=100, Oversampler=VAE-GAN+CPAC2025.07 | 0.9374 | 0.9013 | 0.919 | 0.9963 | |
| Random ForestNumber of Samples=50, Oversampler=VAE-GAN+CPAC2025.07 | 0.934 | 0.8967 | 0.9145 | 0.9733 | |
| XGBoostNumber of Samples=50, Oversampler=VAE-GAN+CPAC2025.07 | 0.9079 | 0.8542 | 0.8792 | 0.9965 | |
| XGBoostNumber of Samples=75, Oversampler=VAE-GAN+CPAC2025.07 | 0.9028 | 0.8703 | 0.8859 | 0.9963 | |
| KNNNumber of Samples=50, Oversampler=VAE-GAN+CPAC2025.07 | 0.7589 | 0.772 | 0.7653 | 0.8198 | |
| KNNNumber of Samples=75, Oversampler=VAE-GAN+CPAC2025.07 | 0.7589 | 0.772 | 0.7653 | 0.8198 | |
| KNNNumber of Samples=100, Oversampler=VAE-GAN+CPAC2025.07 | 0.7589 | 0.772 | 0.7653 | 0.8198 | |
| Logistic RegressionNumber of Samples=100, Oversampler=VAE-GAN+CPAC2025.07 | 0.6514 | 0.6668 | 0.6587 | 0.8264 | |
| Logistic RegressionNumber of Samples=50, Oversampler=VAE-GAN+CPAC2025.07 | 0.6511 | 0.6647 | 0.6576 | 0.826 | |
| Logistic RegressionNumber of Samples=75, Oversampler=VAE-GAN+CPAC2025.07 | 0.6507 | 0.6712 | 0.6603 | 0.8278 |