Personal Credit Default Discrimination Model Based on Super Learner Ensemble

Li Gang; Shen Mengdi; Li MeixuanCheng Jingyi

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Personal Credit Default Discrimination Model Based on Super Learner Ensemble

机译：Personal Credit Default Discrimination Model Based on Super Learner Ensemble

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Assessing the default of customers is an essential basis for personal credit issuance. This paper considers developing a personal credit default discrimination model based on Super Learner heterogeneous ensemble to improve the accuracy and robustness of default discrimination. First, we select six kinds of single classifiers such as logistic regression, SVM, and three kinds of homogeneous ensemble classifiers such as random forest to build a base classifier candidate library for Super Learner. Then, we use the ten-fold cross-validation method to exercise the base classifier to improve the base classifier's robustness. We compute the base classifier's total loss using the difference between the predicted and actual values and establish a base classifier-weighted optimization model to solve for the optimal weight of the base classifier, which minimizes the weighted total loss of all base classifiers. Thus, we obtain the heterogeneous ensembled Super Learner classifier. Finally, we use three real credit datasets in the UCI database regarding Australia, Japanese, and German and the large credit dataset GMSC published by Kaggle platform to test the ensembled Super Learner model's effectiveness. We also employ four commonly used evaluation indicators, the accuracy rate, type I error rate, type II error rate, and AUC. Compared with the base classifier's classification results and heterogeneous models such as Stacking and Bstacking, the results show that the ensembled Super Learner model has higher discrimination accuracy and robustness.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第15期|5586120.1-5586120.16|共16页
作者
Li Gang; Shen Mengdi; Li MeixuanCheng Jingyi;
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Northeastern Univ, Sch Business Adm, Shenyang 110819, Liaoning, Peoples R China|Northeastern Univ Qinhuangdao, Sch Econ, Qinhuangdao 066004, Hebei, Peoples R China|Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China;

Northeastern Univ, Sch Business Adm, Shenyang 110819, Liaoning, Peoples R China|Northeastern Univ Qinhuangdao, Sch Econ, Qinhuangdao 066004, Hebei, Peoples R China;

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Personal Credit Default Discrimination Model Based on Super Learner Ensemble

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