Title: Performance of classification models from a user perspective
Authors: Martens, David ×
Vanthienen, Jan
Verbeke, Wouter
Baesens, Bart #
Issue Date: Nov-2011
Series Title: Decision Support Systems vol:51 pages:782-793
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.
ISSN: 0167-9236
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
decisionsupportsystems.pdf Published 743KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science