Title
Performance of classification models from a user perspective Performance of classification models from a user perspective
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Amsterdam ,
Subject
Economics
Source (journal)
Decision support systems. - Amsterdam
Volume/pages
51(2011) :4 , p. 782-793
ISSN
0167-9236
ISI
000295998300006
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
This paper proposes a complete framework to assess the overall performance of classification models from a user perspective in terms of accuracy, comprehensibility, and justifiability. A review is provided of accuracy and comprehensibility measures, and a novel metric is introduced that allows one to measure the justifiability of classification models. Furthermore, taxonomy of domain constraints is introduced, and an overview of the existing approaches to impose constraints and include domain knowledge in data mining techniques is presented. Finally, justifiability metric is applied to a credit scoring and customer churn prediction case. Keywords: Data mining; Classification; Metrics; Justifiability; Comprehensibility
E-info
https://repository.uantwerpen.be/docman/iruaauth/fd524c/96a25b8c9dc.pdf
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Handle