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Integration of Iterative Dichotomizer 3 and Boosted Decision Tree to Form Credit Scoring Profile


 
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1. Title Title of document Integration of Iterative Dichotomizer 3 and Boosted Decision Tree to Form Credit Scoring Profile
 
2. Creator Author's name, affiliation, country Alditama Agung Prasetyo; Universitas Kristen Satya Wacana; Indonesia
 
2. Creator Author's name, affiliation, country Budhi Kristianto; Universitas Kristen Satya Wacana; Indonesia
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Boosted Decision Tree, Credit Scoring, Iterative Dichotomizer 3
 
4. Description Abstract Loan is becoming essential need in this modern life. Banks need to keep their NPL ratio low in order to maintain their financial health. One of customer’s screening techniques is credit scoring. Decision tree is a simple method to classify a condition into two different classes using given classifier, and widely used to perform credit scoring in the financial industry. We integrated Iterative Dichotomizer 3 and Boosted Decision Tree methods and used Microsoft Azure Machine Learning tools to perform credit score profiling. This study is cross sectional in time and using 600 instances data of loan submission in Tangerang, Indonesia. The result shows good performance with performance evaluation metric of accuracy, precision, recall, and F1 score are 0.85, 0.885, 0.793 and 0.836 respectively.
 
5. Publisher Organizing agency, location Soegijapranata Catholic University
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2020-11-23
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://journal.unika.ac.id/index.php/sisforma/article/view/2659
 
10. Identifier Digital Object Identifier (DOI) https://doi.org/10.24167/sisforma.v7i2.2659
 
11. Source Title; vol., no. (year) SISFORMA; Vol 7, No 2: November 2020
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2020 SISFORMA: Journal of Information Systems (e-Journal)