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Evolutionary Feature Selection
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

This thesis contains research on feature selection, in particular feature selection using evolutionary algorithms. Feature selection is motivated by increasing data-dimensionality and the need to construct simple induction models. A literature review of evolutionary feature selection is conducted. After that a abstract feature selection algorithm, capable of using many different wrappers, is constructed. The algorithm is configured using a low-dimensional dataset. Finally it is tested on a wide range of datasets, revealing both it's abilities and problems. The main contribution is the revelation that classifier accuracy is not a sufficient metric for feature selection on high-dimensional data.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2013. , 76 p.
URN: urn:nbn:no:ntnu:diva-24225Local ID: ntnudaim:8223OAI: diva2:702890
Available from: 2014-03-04 Created: 2014-03-04 Last updated: 2014-03-04Bibliographically approved

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