Publication
Title
Performance of classification models from a user perspective
Author
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
Language
English
Source (journal)
Decision support systems. - Amsterdam
Publication
Amsterdam : 2011
ISSN
0167-9236
Volume/pages
51:4(2011), p. 782-793
ISI
000295998300006
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 11.01.2011
Last edited 14.07.2017
To cite this reference