Credit Card Fraud Detection on BankSim (test)
86.4Macro F1 ScoreFN
Evaluation results
| Method | Links | |
|---|---|---|
| FNNl=259462025.08 | 86.4 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesNl=259462025.08 | 85.8 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesNl=129732025.08 | 85.6 | |
| FNNl=129732025.08 | 85.5 | |
| RFNl=259462025.08 | 83.7 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesNl=51902025.08 | 83.3 | |
| FNNl=51902025.08 | 83 | |
| SVMNl=259462025.08 | 82.2 | |
| FNNl=38932025.08 | 81.9 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesNl=38932025.08 | 81.9 | |
| RFNl=129732025.08 | 81.7 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesNl=25952025.08 | 81 | |
| FNNl=25952025.08 | 80.8 | |
| SVMNl=129732025.08 | 80 | |
| RFNl=51902025.08 | 74.2 | |
| SVMNl=51902025.08 | 72.8 | |
| RFNl=38932025.08 | 72.5 | |
| SVMNl=38932025.08 | 69.2 | |
| RFNl=25952025.08 | 69.1 | |
| NBNl=259462025.08 | 64.5 | |
| KNNNl=259462025.08 | 64.4 | |
| NBNl=129732025.08 | 64.3 | |
| NBNl=51902025.08 | 64.1 | |
| NBNl=25952025.08 | 64 | |
| SVMNl=25952025.08 | 64 | |
| NBNl=38932025.08 | 63.9 | |
| LRegNl=259462025.08 | 61.7 | |
| KNNNl=129732025.08 | 60 | |
| LRegNl=129732025.08 | 58 | |
| LReg-SSLNl=259462025.08 | 56 | |
| LReg-SSLNl=129732025.08 | 54.8 | |
| KNNNl=38932025.08 | 54.8 | |
| KNNNl=51902025.08 | 54.8 | |
| KNNNl=25952025.08 | 53.6 | |
| LRegNl=25952025.08 | 53.2 | |
| LRegNl=51902025.08 | 53.1 | |
| LRegNl=38932025.08 | 53 | |
| LReg-SSLNl=51902025.08 | 51.5 | |
| LReg-SSLNl=38932025.08 | 51 | |
| LReg-SSLNl=25952025.08 | 50.5 |