Deep learning based loan eligibility prediction with Social Border Collie Optimization

PurposeThe bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The loan eligibility prediction model utilizes analysis method that adapts past and current information of credit user to...

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Veröffentlicht in:	Kybernetes Jg. 52; H. 8; S. 2847 - 2867
Hauptverfasser:	Infant Cyril, G.L., Ananth, J.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Emerald Publishing Limited 03.08.2023 Emerald Group Publishing Limited
Schlagworte:	Accuracy Algorithms Artificial neural networks Banking industry Banks Classifiers Conditional probability Credit scoring Data mining Datasets Decision making Deep learning Discriminant analysis Eligibility Feature selection Fuzzy logic Least squares method Loans Machine learning Methods Optimization Parameter sensitivity Prediction models Recurrent neural networks Regression models Risk analysis Statistical analysis Support vector machines Deep neuro fuzzy network Naive Bayes Wrapper method Loan eligibility prediction Box-cox transformation
ISSN:	0368-492X, 1758-7883
Online-Zugang:	Volltext
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