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APPrOVE: Application-oriented Validation and Evaluation of Supervised Learners
Responsible organisation
2010 (English)Conference paper (Refereed) Published
Abstract [en]

Learning algorithm evaluation is usually focused on classification performance. However, the characteristics and requirements of real-world applications vary greatly. Thus, for a particular application, some evaluation criteria are more important than others. In fact, multiple criteria need to be considered to capture application-specific trade-offs. Many multi-criteria methods can be used for the actual evaluation but the problems of selecting appropriate criteria and metrics as well as capturing the trade-offs still persist. This paper presents a framework for application-oriented validation and evaluation (APPrOVE). The framework includes four sequential steps that together address the aforementioned problems and its use in practice is demonstrated through a case study.

Place, publisher, year, edition, pages
London: IEEE press , 2010.
Keyword [en]
classification, evaluation, supervised learning
National Category
Software Engineering Computer Science
URN: urn:nbn:se:bth-7758Local ID: 978-1-4244-5164-7OAI: diva2:835419
IEEE Intelligent Systems
Available from: 2012-09-18 Created: 2010-07-18 Last updated: 2015-06-30Bibliographically approved

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fulltext(583 kB)28 downloads
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File name FULLTEXT01.pdfFile size 583 kBChecksum SHA-512
Type fulltextMimetype application/pdf

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Lavesson, Niklas
Software EngineeringComputer Science

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