A Deep Neural Network (DNN) based classification model in application to loan default prediction
In this study, we applied a Deep Neural Networks (DNN) based classification model along with the conventional classification methods (Logistic Regression, Decision Tree, Naïve Bayes and Support Vector Machines) on a two distinct datasets containing characteristics of the loan clients in a medium-siz...
Main Authors: | Selçuk BAYRACI, Orkun SUSUZ |
---|---|
Format: | Article |
Language: | English |
Published: |
General Association of Economists from Romania
2019-12-01
|
Series: | Theoretical and Applied Economics |
Subjects: | |
Online Access: |
http://store.ectap.ro/articole/1421.pdf
|
Similar Items
-
Application of profit-based credit scoring models using R
by: Selçuk Bayracı
Published: (2017-11-01) -
A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest
by: Gang Li, et al.
Published: (2021-05-01) -
Credit Risk Assessment Model Based Using Principal component Analysis And Artificial Neural Network
by: Hamdy Abeer, et al.
Published: (2016-01-01) -
SOCIAL MEDIA DATA TO DETERMINE LOAN DEFAULT PREDICTING METHOD IN AN ISLAMIC ONLINE PEER TO PEER LENDING
by: Hasna Nabila Laila Khilfah, et al.
Published: (2020-05-01) -
Determinants of Borrowers’ Default in P2P Lending under Consideration of the Loan Risk Class
by: Michal Polena, et al.
Published: (2018-10-01)