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:	2018
Authors:	Škegro, Frane ; Zoroja, Jovana ; Šimičević, Vanja
Publisher:	[S.l.] : SSRN

Extent:	1 Online-Ressource (6 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: 2017 ENTRENOVA Conference Proceedings Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 7, 2017 erstellt
Classification:	D81 - Criteria for Decision-Making under Risk and Uncertainty ; C80 - Data Collection and Data Estimation Methodology; Computer Programs. General
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014110104