Determination efficient classification algorithm for credit card owners : comparative study
Author
Source
Engineering and Technology Journal
Issue
Vol. 39, Issue 1B (31 Jan. 2021), pp.21-29, 9 p.
Publisher
Publication Date
2021-01-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Topics
Abstract EN
Today in the business world, significant loss can happen when the borrowers ignore paying their loans.
Convenient credit-risk management represents a necessity for lending institutions.
In most times, some persons prefer to late their monthly payments, otherwise, they may face difficulties in the loan payment process to the financial institution.
Mainly, most fiscal organizations are considered managed and refined client classification systems, scanning a valid client from invalid ones.
This paper produces the data mining idea, specifically the classification technique of data mining and builds a system of data mining process structure.
The credit scoring problem will be applied using the Taiwan bank dataset.
Besides that, three classification methods are adopted, Naïve Bayesian, Decision Tree (C5.0), and Artificial Neural Network.
These classifiers are implemented in the WEKA machine learning application.
The results show that the C5.0 algorithm is the best among them, it achieves 0.93 accuracy rates, 0.94 detection rates, 0.96 precision rates, and 0.95 F-Measure which is higher than Naïve Bayesian and Artificial Neural Network; also, the False Positive Rate in C5.0 algorithm achieves 0.1 which is less than Artificial Neural Network and Naïve Bayesian.
American Psychological Association (APA)
Aziz, Raghad A.. 2021. Determination efficient classification algorithm for credit card owners : comparative study. Engineering and Technology Journal،Vol. 39, no. 1B, pp.21-29.
https://search.emarefa.net/detail/BIM-1282612
Modern Language Association (MLA)
Aziz, Raghad A.. Determination efficient classification algorithm for credit card owners : comparative study. Engineering and Technology Journal Vol. 39, no. 1B (2021), pp.21-29.
https://search.emarefa.net/detail/BIM-1282612
American Medical Association (AMA)
Aziz, Raghad A.. Determination efficient classification algorithm for credit card owners : comparative study. Engineering and Technology Journal. 2021. Vol. 39, no. 1B, pp.21-29.
https://search.emarefa.net/detail/BIM-1282612
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29
Record ID
BIM-1282612