Fraud Detection on Credit Card Fraud dataset
0.9996AccuracyImbalanced
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ImbalancedModel=RF2026.05 | 0.9996 | — | — | — | 0.9366 | 0.9996 | 1 | 0.9998 | 0.9669 | 0.7905 | 0.8699 | |
| ImbalancedModel=XGB2026.05 | 0.9994 | — | — | — | 0.9648 | 0.9996 | 0.9998 | 0.9997 | 0.8702 | 0.7703 | 0.8172 | |
| ImbalancedModel=QNN2026.05 | 0.9993 | — | — | — | 0.9582 | 0.9995 | 0.9998 | 0.9997 | 0.8699 | 0.723 | 0.7897 | |
| ImbalancedModel=ANN2026.05 | 0.9993 | — | — | — | 0.9522 | 0.9996 | 0.9997 | 0.9997 | 0.8248 | 0.7635 | 0.793 | |
| ImbalancedModel=LogReg2026.05 | 0.9991 | — | — | — | 0.9583 | 0.9993 | 0.9998 | 0.9996 | 0.8558 | 0.6014 | 0.7063 | |
| Self-PU2023.10 | 0.992 | 0.89 | 0.858 | 0.924 | 0.956 | — | — | — | — | — | — | |
| PAN2023.10 | 0.991 | 0.915 | 0.854 | 0.985 | 0.966 | — | — | — | — | — | — | |
| HolisticPU2023.10 | 0.991 | 0.991 | 0.99 | 0.993 | 0.997 | — | — | — | — | — | — | |
| PULNS2023.10 | 0.99 | 0.89 | 0.832 | 0.956 | 0.945 | — | — | — | — | — | — | |
| P3MIX-B2023.10 | 0.99 | 0.919 | 0.877 | 0.965 | 0.975 | — | — | — | — | — | — | |
| Dist-PU2023.10 | 0.988 | 0.879 | 0.802 | 0.972 | 0.965 | — | — | — | — | — | — | |
| P3MIX-C2023.10 | 0.988 | 0.902 | 0.865 | 0.941 | 0.973 | — | — | — | — | — | — | |
| VPU2023.10 | 0.986 | 0.917 | 0.849 | 0.997 | 0.969 | — | — | — | — | — | — | |
| nnPU2023.10 | 0.984 | 0.899 | 0.834 | 0.974 | 0.942 | — | — | — | — | — | — | |
| MIXPUL2023.10 | 0.984 | 0.829 | 0.866 | 0.792 | 0.913 | — | — | — | — | — | — | |
| nnPU+mixup2023.10 | 0.981 | 0.89 | 0.829 | 0.96 | 0.938 | — | — | — | — | — | — | |
| uPU2023.10 | 0.97 | 0.895 | 0.834 | 0.965 | 0.934 | — | — | — | — | — | — | |
| GANModel=ANN2026.05 | 0.9662 | — | — | — | 0.9881 | 0.9423 | 0.9932 | 0.9671 | 0.9928 | 0.939 | 0.9652 | |
| GANModel=LogReg2026.05 | 0.9662 | — | — | — | 0.9912 | 0.951 | 0.9831 | 0.9668 | 0.9825 | 0.9492 | 0.9655 | |
| GANModel=RF2026.05 | 0.9662 | — | — | — | 0.9912 | 0.951 | 0.9831 | 0.9668 | 0.9825 | 0.9492 | 0.9655 | |
| GANModel=XGB2026.05 | 0.9645 | — | — | — | 0.9896 | 0.9538 | 0.9764 | 0.9649 | 0.9757 | 0.9525 | 0.964 | |
| GANModel=QNN2026.05 | 0.9628 | — | — | — | 0.9904 | 0.9363 | 0.9932 | 0.9639 | 0.9928 | 0.9322 | 0.9615 | |
| Q-SYNTHModel=ANN2026.05 | 0.9628 | — | — | — | 0.9885 | 0.9448 | 0.9831 | 0.9636 | 0.9823 | 0.9424 | 0.9619 | |
| Q-SYNTHModel=RF2026.05 | 0.9628 | — | — | — | 0.9912 | 0.9507 | 0.9764 | 0.9633 | 0.9756 | 0.9492 | 0.9622 | |
| Q-SYNTHModel=LogReg2026.05 | 0.9594 | — | — | — | 0.9906 | 0.9474 | 0.973 | 0.96 | 0.9721 | 0.9458 | 0.9588 | |
| Q-SYNTHModel=XGB2026.05 | 0.9594 | — | — | — | 0.9893 | 0.9564 | 0.9628 | 0.9596 | 0.9625 | 0.9559 | 0.9592 | |
| Q-SYNTHModel=QNN2026.05 | 0.9543 | — | — | — | 0.9896 | 0.9216 | 0.9932 | 0.9561 | 0.9926 | 0.9153 | 0.9524 | |
| SMOTEModel=RF2026.05 | 0.9509 | — | — | — | 0.9885 | 0.9465 | 0.9561 | 0.9513 | 0.9555 | 0.9458 | 0.9506 | |
| SMOTEModel=XGB2026.05 | 0.9509 | — | — | — | 0.989 | 0.9465 | 0.9561 | 0.9513 | 0.9555 | 0.9458 | 0.9506 | |
| BalancedModel=LogReg2026.05 | 0.9459 | — | — | — | 0.9839 | 0.9231 | 0.973 | 0.9474 | 0.9714 | 0.9189 | 0.9444 | |
| BalancedModel=ANN2026.05 | 0.9392 | — | — | — | 0.9842 | 0.9063 | 0.9797 | 0.9416 | 0.9779 | 0.8986 | 0.9366 | |
| BalancedModel=RF2026.05 | 0.9392 | — | — | — | 0.9852 | 0.9276 | 0.9527 | 0.94 | 0.9514 | 0.9257 | 0.9384 | |
| SMOTEModel=QNN2026.05 | 0.9391 | — | — | — | 0.9778 | 0.8963 | 0.9932 | 0.9423 | 0.9924 | 0.8847 | 0.9355 | |
| SMOTEModel=ANN2026.05 | 0.9391 | — | — | — | 0.9781 | 0.8988 | 0.9899 | 0.9421 | 0.9887 | 0.8881 | 0.9357 | |
| SMOTEModel=LogReg2026.05 | 0.9391 | — | — | — | 0.9829 | 0.914 | 0.9696 | 0.941 | 0.9675 | 0.9085 | 0.9371 | |
| BalancedModel=XGB2026.05 | 0.9358 | — | — | — | 0.9841 | 0.9272 | 0.9459 | 0.9365 | 0.9448 | 0.9257 | 0.9352 | |
| BalancedModel=QNN2026.05 | 0.9324 | — | — | — | 0.9838 | 0.881 | 1 | 0.9367 | 1 | 0.8649 | 0.9275 |