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APPrOVE: Application-oriented Validation and Evaluation of Supervised Learners
School of Computing Blekinge Institute of Technology, Ronneby, Sweden.ORCID iD: 0000-0002-0535-1761
School of Computing Blekinge Institute of Technology, Ronneby, Sweden.
2010 (English)Conference paper, Published paper (Refereed)
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 Sciences
Identifiers
URN: urn:nbn:se:hj:diva-37948ISBN: 978-1-4244-5164-7 (print)OAI: oai:DiVA.org:hj-37948DiVA: diva2:1159924
Conference
IEEE Intelligent Systems
Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

fulltext(583 kB)2 downloads
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File name FULLTEXT01.pdfFile size 583 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Lavesson, Niklas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf