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ResearchFormerly WizWand

Credit Card Fraud Detection on BankSim

77.2Partial PR AUCRandom Forest
18.64833.84949.0564.251Aug 31, 2025
Updated 5mo ago

Evaluation results

MethodLinks
Random ForestN_l=259462025.0877.2
Fully supervised neural network (FNN)N_l=259462025.0877.2
Semi-Supervised Bayesian GANs with Log-SignaturesN_l=259462025.0876.7
Random ForestN_l=129732025.0875.4
Semi-Supervised Bayesian GANs with Log-SignaturesN_l=129732025.0875.2
Fully supervised neural network (FNN)N_l=129732025.0874.2
FNK=0.8, Nl=259462025.0872.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.8, Nl=259462025.0872.3
RFK=0.8, Nl=259462025.0871.7
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.8, Nl=129732025.0871.4
Random ForestN_l=51902025.0869.6
Semi-Supervised Bayesian GANs with Log-SignaturesN_l=51902025.0869.3
Support Vector MachineN_l=259462025.0868.8
Random ForestN_l=38932025.0868.3
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.8, Nl=51902025.0867.2
SVMK=0.8, Nl=259462025.0866.9
Fully supervised neural network (FNN)N_l=51902025.0866.3
Support Vector MachineN_l=129732025.0866.3
Random ForestN_l=25952025.0866.1
FNlabeled training size (Nl)=259462025.0866
Semi-Supervised Bayesian GANs with Log-SignaturesN_l=38932025.0865.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.7, Nl=259462025.0865.7
Semi-Supervised Bayesian GANs with Log-Signatureslabeled training size (Nl)=259462025.0865.7
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.7, Nl=129732025.0865.1
Semi-Supervised Bayesian GANs with Log-Signatureslabeled training size (Nl)=129732025.0865.1
FNlabeled training size (Nl)=129732025.0864.9
RFlabeled training size (Nl)=259462025.0864.9
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.8, Nl=38932025.0864.2
RFlabeled training size (Nl)=129732025.0863.7
Fully supervised neural network (FNN)N_l=38932025.0862.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.7, Nl=51902025.0862.4
Semi-Supervised Bayesian GANs with Log-Signatureslabeled training size (Nl)=51902025.0862.4
Semi-Supervised Bayesian GANs with Log-SignaturesN_l=25952025.0862
SVMlabeled training size (Nl)=259462025.0861.8
FNlabeled training size (Nl)=51902025.0861.6
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.8, Nl=25952025.0861
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.7, Nl=38932025.0860.6
Semi-Supervised Bayesian GANs with Log-Signatureslabeled training size (Nl)=38932025.0860.6
SVMlabeled training size (Nl)=129732025.0860.3
RFlabeled training size (Nl)=51902025.0860.2
RFlabeled training size (Nl)=38932025.0859
FNlabeled training size (Nl)=38932025.0859
Fully supervised neural network (FNN)N_l=25952025.0858.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.7, Nl=25952025.0858.2
Semi-Supervised Bayesian GANs with Log-Signatureslabeled training size (Nl)=25952025.0858.2
Support Vector MachineN_l=51902025.0858
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.6, Nl=259462025.0857.4
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.6, Nl=129732025.0856.9
RFlabeled training size (Nl)=25952025.0856.9
FNlabeled training size (Nl)=25952025.0856
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.6, Nl=51902025.0855.3
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.6, Nl=38932025.0854.4
SVMlabeled training size (Nl)=51902025.0853.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.6, Nl=25952025.0852.7
KNNlabeled training size (Nl)=259462025.0851.3
Naive BayesN_l=51902025.0850.5
Naive BayesN_l=129732025.0850.5
Naive BayesN_l=259462025.0850.4
Naive BayesN_l=38932025.0850.3
Support Vector MachineN_l=38932025.0850
Naive BayesN_l=25952025.0849.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.5, Nl=259462025.0848.2
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.5, Nl=129732025.0847.9
KNNlabeled training size (Nl)=129732025.0847.2
SVMlabeled training size (Nl)=38932025.0847.1
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.5, Nl=51902025.0847
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.5, Nl=38932025.0846.6
NBlabeled training size (Nl)=38932025.0845.9
NBlabeled training size (Nl)=51902025.0845.9
NBlabeled training size (Nl)=129732025.0845.9
NBlabeled training size (Nl)=259462025.0845.9
NBlabeled training size (Nl)=25952025.0845.8
Semi-Supervised Bayesian GANs with Log-SignaturesK=0.5, Nl=25952025.0845.5
K-Nearest NeighborsN_l=259462025.0844.3
FNK=0.5, Nl=25952025.0844.1
RFK=0.5, Nl=25952025.0843.4
Support Vector MachineN_l=25952025.0841.7
KNNlabeled training size (Nl)=51902025.0841.3
Semi-Supervised Logistic RegressionN_l=259462025.0840.7
KNNlabeled training size (Nl)=38932025.0839.9
SVMlabeled training size (Nl)=25952025.0839.5
Logistic RegressionN_l=259462025.0838.4
L-SSLlabeled training size (Nl)=259462025.0838.3
NBK=0.5, Nl=25952025.0837.7
KNNlabeled training size (Nl)=25952025.0837.5
Llabeled training size (Nl)=259462025.0836.3
K-Nearest NeighborsN_l=129732025.0835.9
Semi-Supervised Logistic RegressionN_l=129732025.0833.8
L-SSLlabeled training size (Nl)=129732025.0831.8
SVMK=0.5, Nl=25952025.0831.6
Logistic RegressionN_l=129732025.0830
Llabeled training size (Nl)=129732025.0828.3
KNNK=0.5, Nl=25952025.0825.4
Semi-Supervised Logistic RegressionN_l=51902025.0825.4
L-SSLlabeled training size (Nl)=51902025.0824
K-Nearest NeighborsN_l=51902025.0823.9
Semi-Supervised Logistic RegressionN_l=38932025.0823.6
L-SSLlabeled training size (Nl)=38932025.0822.4
K-Nearest NeighborsN_l=38932025.0821.4
Logistic RegressionN_l=51902025.0820.9