Credit Scoring Analysis: Case Study of Using Weka
6 Pages Posted: 20 Nov 2018
Date Written: September 7, 2017
Abstract
The goal of the paper is to present the overview of methodology of using credit scoring analysis with software Weka. German credit dataset was used in order to develop a decision tree with J.48 algorithm. We present characteristics of the dataset and the main results with the focus to the interpretation of Weka output. Paper could be useful for the users of Weka that aim to use it for credit scoring analysis.
Keywords: data base, credit risk, data mining, knowledge discovery, granting credits
JEL Classification: D81, C80
Suggested Citation: Suggested Citation
Škegro, Frane and Zoroja, Jovana and Šimičević, Vanja, Credit Scoring Analysis: Case Study of Using Weka (September 7, 2017). 2017 ENTRENOVA Conference Proceedings, Available at SSRN: https://ssrn.com/abstract=3282504
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