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ENTRENOVA - ENTerprise REsearch InNOVAtion, Vol. 3 No. 1, 2017.

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Credit Scoring Analysis: Case Study of Using Weka

Frane Škegro ; Hrvatski Telekom d.d., Croatia
Jovana Zoroja orcid id orcid.org/0000-0003-2178-2913 ; Faculty of Economics and Business, University of Zagreb, Croatia
Vanja Šimićević ; Centre for Croatian Studies, University of Zagreb, Croatia

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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.



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

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Hrčak ID:

251116

URI

https://hrcak.srce.hr/251116

Publication date:

31.10.2017.

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