Table 4 AUC comparison after hyperparameter optimisation* between NOTE and cWGAN with rSVD on the HE and GMSC datasets. Benchmarks12 for cWGAN oversampling without extraction (best AUC highlighted in bold).

From: NOTE: non-parametric oversampling technique for explainable credit scoring

HE

NOTE

rSVD

rSVD and NSA

Engelmann and Lessmann12

GMSC

NOTE

rSVD

rSVD and NSA

Engelmann and Lessmann12

LR

0.9595

0.8152

0.9257

0.7554

LR

0.9750

0.9562

0.9643

0.7449

DT

0.9546

0.8682

0.9227

0.7935

DT

0.9648

0.9642

0.9641

0.6090

ET

0.9913

0.9777

0.9804

N/A

ET

0.9831

0.9735

0.9776

N/A

RF

0.9891

0.9685

0.9775

0.9761

RF

0.9837

0.9806

0.9816

0.8412

GB

0.9891

0.9733

0.9803

0.9119

GB

0.9834

0.9822

0.9829

0.8304

  1. * Search space for hyperparameters is the same as Table 3