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Table 7 Results of the estimated AUC-ROC using “Give Me Some Credit” dataset

From: Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction

 

Logit

Lasso

CART

Random forest

XGBoost

MLP

AUC-ROC

80%

80.2%

80.4%

84.2%

85.3%

81.7%

AUC-ROC

95% interval

79.3%

80.7%

79.6%

80.8%

79.7%

81.2%

83.7%

84.8%

84.8%

85.8%

81%

82.3%

AUC-ROC (difference with logit)

0.2%

0.4%

4.2%

5.3%

1.7%