Fraud Detection on BankSim
0.02Cross Entropy LossFN
Evaluation Results
| Method | Links | |
|---|---|---|
| FNN_l=259462025.08 | 0.02 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesN_l=259462025.08 | 0.02 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesN_l=129732025.08 | 0.021 | |
| FNN_l=129732025.08 | 0.024 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesN_l=51902025.08 | 0.025 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesN_l=38932025.08 | 0.028 | |
| SVMN_l=259462025.08 | 0.029 | |
| SVMN_l=129732025.08 | 0.031 | |
| Semi-Supervised Bayesian GANs with Log-SignaturesN_l=25952025.08 | 0.032 | |
| SVMN_l=51902025.08 | 0.035 | |
| FNN_l=51902025.08 | 0.036 | |
| LRegN_l=259462025.08 | 0.038 | |
| RFN_l=259462025.08 | 0.038 | |
| RFN_l=129732025.08 | 0.04 | |
| SVMN_l=38932025.08 | 0.042 | |
| LRegN_l=129732025.08 | 0.042 | |
| FNN_l=38932025.08 | 0.043 | |
| RFN_l=38932025.08 | 0.044 | |
| RFN_l=51902025.08 | 0.044 | |
| LRegN_l=51902025.08 | 0.045 | |
| RFN_l=25952025.08 | 0.046 | |
| LRegN_l=38932025.08 | 0.047 | |
| LRegN_l=25952025.08 | 0.048 | |
| SVMN_l=25952025.08 | 0.048 | |
| FNN_l=25952025.08 | 0.051 | |
| LReg-SSLN_l=259462025.08 | 0.057 | |
| LReg-SSLN_l=129732025.08 | 0.067 | |
| LReg-SSLN_l=51902025.08 | 0.082 | |
| LReg-SSLN_l=38932025.08 | 0.087 | |
| LReg-SSLN_l=25952025.08 | 0.094 | |
| KNNN_l=259462025.08 | 0.242 | |
| KNNN_l=129732025.08 | 0.265 | |
| KNNN_l=51902025.08 | 0.301 | |
| KNNN_l=38932025.08 | 0.316 | |
| KNNN_l=25952025.08 | 0.333 | |
| NBN_l=259462025.08 | 1.295 | |
| NBN_l=129732025.08 | 1.313 | |
| NBN_l=25952025.08 | 1.332 | |
| NBN_l=51902025.08 | 1.334 | |
| NBN_l=38932025.08 | 1.371 |