Application of AI in Credit Scoring Modeling (BestMasters) - Softcover

Popovych, Bohdan

 
9783658401795: Application of AI in Credit Scoring Modeling (BestMasters)
Softcover
ISBN 10: 3658401796 ISBN 13: 9783658401795
Verlag: Springer Gabler, 2022

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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Verlag
Springer Gabler
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3658401796
ISBN 13 
9783658401795
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
100
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
64293
Deutschland

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