Predicting Delinquency on Mortgage Loans: An Exhaustive Parametric Comparison of Machine Learning Techniques

Predicting Delinquency on Mortgage Loans: An Exhaustive Parametric Comparison of Machine Learning Techniques

This paper explores the potential of 19 machine learning techniques to model and forecasts the risk of delinquency on mortgage loans. These techniques include variants of artificial neural networks (ANN), ensemble classifiers, support vector machine, K-nearest neighbors, and decision trees. ensemble...

Full description

Bibliographic Details
Main Authors: Syed Emad Azhar Ali, Syed Sajjad Hussain Rizvi, Fong-Woon Lai, Rao Faizan Ali, Ahmad Ali Jan
Format: Article
Language:English
Published: University of Novi Sad, Faculty of Technical Sciences 2021-03-01
Series:International Journal of Industrial Engineering and Management
Subjects:
delinquency risk prediction
mortgage loan
machine learning techniques
artificial neural networks
multi-layer perceptron
binary logistics regression
Online Access:http://ijiemjournal.org/counter/click.php?id=vol12_01_01

Internet

http://ijiemjournal.org/counter/click.php?id=vol12_01_01

Similar Items