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Application of AI in Credit Scoring Modeling

by Bohdan Popovych
Save 35% Save 35%
Current price ₹6,243.00
Original price ₹9,604.00
Original price ₹9,604.00
Original price ₹9,604.00
(-35%)
₹6,243.00
Current price ₹6,243.00

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Book cover type: Paperback
  • ISBN13: 9783658401795
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer Gabler
  • Publication Date:
  • Pages: 83
  • Original Price: EUR 84.99
  • Language: English
  • Edition: 2022
  • Item Weight: 141 grams
  • BISAC Subject(s): Industries / Financial Services

From the Back Cover
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.
About the author MA Bohdan Popovych is a data scientist and a researcher in quantitative finance. The main scientific focus of the author is application of advanced analytics and artificial intelligence in finance and economics.

MA Bohdan Popovych is a data scientist and a researcher in quantitative finance. The main scientific focus of the author is application of advanced analytics and artificial intelligence in finance and economics.

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