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- W2366162553 abstract "In this paper,we use an improved integrated classifier,subagging,to build a model for personal credit scoring,hoping to obtain better results.Due to the shortcomings of single classifier,we propose an integrated classifier for personal credit scoring.Experiment results show that subagging-KNN and subagging-decision tree can effectively improve the classification accuracy compared with single classifier and bagging.This model is more applicable to the control of consumer credit risk for commercial banks." @default.
- W2366162553 created "2016-06-24" @default.
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- W2366162553 date "2011-01-01" @default.
- W2366162553 modified "2023-09-23" @default.
- W2366162553 title "Research and Application of Subagging for Personal Credit Scoring" @default.
- W2366162553 hasPublicationYear "2011" @default.
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