Authors:

Dewa Nyoman Agung Adipurwa Mahandiri, Agus Muliantara

Abstract:

“Consuming loans with any service has become a trend in modern society. However, that trend gives some risk for the loan company such as Home Credit. Home Credit needs to create an automation analytic for predicting customers that might be default in future. So, we build a machine learning model using the Decision Tree algorithm to resolve that risk. The Decision Tree model can give mean score 85% accuracy, 91% precision ,and 92% recall score for Home Credit study case.”

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PDF:

https://jurnal.harianregional.com/jlk/full-92619

Published

2024-01-23

How To Cite

ADIPURWA MAHANDIRI, Dewa Nyoman Agung; MULIANTARA, Agus. Default Risk Prediction Using Decision Tree Study Case of Home Credit.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 12, n. 3, p. 647-654, jan. 2024. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/92619. Date accessed: 02 Jun. 2025.

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Issue

Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License