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...

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Bibliographic Details
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:	data analytics credit scoring deep learning risk management
Online Access:	http://store.ectap.ro/articole/1421.pdf

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spelling	doaj-278dcf4faec04f29942d89f6c7f272002020-11-25T02:39:35ZengGeneral Association of Economists from RomaniaTheoretical and Applied Economics1841-86781844-00292019-12-01XXVI4758418418678A Deep Neural Network (DNN) based classification model in application to loan default predictionSelçuk BAYRACI0Orkun SUSUZ1 R&D Center, C/S Information Technologies, Istanbul, Turkey R&D Center, C/S Information Technologies, Istanbul, Turkey 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-sized Turkish commercial bank. Python programming language and libraries (Sklearn, Tensorflow and Keras) have been used in data cleaning, data preparation, feature engineering and model implementation processes. Our empirical findings document that the accuracy of the deep learning classification model increases with the size of the dataset, implying that the deep learning models might yield better results than regression-based models in more complex datasets. http://store.ectap.ro/articole/1421.pdf data analyticscredit scoringdeep learningrisk management
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Selçuk BAYRACI Orkun SUSUZ
spellingShingle	Selçuk BAYRACI Orkun SUSUZ A Deep Neural Network (DNN) based classification model in application to loan default prediction Theoretical and Applied Economics data analytics credit scoring deep learning risk management
author_facet	Selçuk BAYRACI Orkun SUSUZ
author_sort	Selçuk BAYRACI
title	A Deep Neural Network (DNN) based classification model in application to loan default prediction
title_short	A Deep Neural Network (DNN) based classification model in application to loan default prediction
title_full	A Deep Neural Network (DNN) based classification model in application to loan default prediction
title_fullStr	A Deep Neural Network (DNN) based classification model in application to loan default prediction
title_full_unstemmed	A Deep Neural Network (DNN) based classification model in application to loan default prediction
title_sort	deep neural network (dnn) based classification model in application to loan default prediction
publisher	General Association of Economists from Romania
series	Theoretical and Applied Economics
issn	1841-8678 1844-0029
publishDate	2019-12-01
description	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-sized Turkish commercial bank. Python programming language and libraries (Sklearn, Tensorflow and Keras) have been used in data cleaning, data preparation, feature engineering and model implementation processes. Our empirical findings document that the accuracy of the deep learning classification model increases with the size of the dataset, implying that the deep learning models might yield better results than regression-based models in more complex datasets.
topic	data analytics credit scoring deep learning risk management
url	http://store.ectap.ro/articole/1421.pdf
work_keys_str_mv	AT selcukbayraci adeepneuralnetworkdnnbasedclassificationmodelinapplicationtoloandefaultprediction AT orkunsusuz adeepneuralnetworkdnnbasedclassificationmodelinapplicationtoloandefaultprediction AT selcukbayraci deepneuralnetworkdnnbasedclassificationmodelinapplicationtoloandefaultprediction AT orkunsusuz deepneuralnetworkdnnbasedclassificationmodelinapplicationtoloandefaultprediction
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A Deep Neural Network (DNN) based classification model in application to loan default prediction

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