Credit Scoring Analysis: Case Study of Using Weka

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.

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Year of publication:	2017
Authors:	Škegro, Frane ; Zoroja, Jovana ; Šimičević, Vanja
Publisher:	Zagreb : IRENET - Society for Advancing Innovation and Research in Economy
Subject:	data base \| credit risk \| data mining \| knowledge discovery \| granting credits

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Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Conference Paper
Language:	English
Other identifiers:	hdl:10419/183764 [Handle] RePEc:zbw:entr17:183764 [RePEc]
Classification:	D81 - Criteria for Decision-Making under Risk and Uncertainty ; C80 - Data Collection and Data Estimation Methodology; Computer Programs. General
Source:	EconStor

Persistent link: https://www.econbiz.de/10011920379