Items related to Application of AI in Credit Scoring Modeling
Synopsis
The scope of this study is to investigate the capability of AI methods to accurately detect and predict credit risks based on retail borrowers' features. The comparison of logistic regression, decision tree, and random forest showed that machine learning methods are able to predict credit defaults of individuals more accurately than the logit model. Furthermore, it was demonstrated how random forest and decision tree models were more sensitive in detecting default borrowers.
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Application of AI in Credit Scoring Modeling
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Application of AI in Credit Scoring Modeling
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783658401818
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Application of AI in Credit Scoring Modeling
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783658401818
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