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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
University of Novi Sad
2021
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102691339&doi=10.24867%2fIJIEM-2021-1-272&partnerID=40&md5=6ad2d7eca1c90281cb5768c36e41c625 http://eprints.utp.edu.my/23739/ |
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