Toward optimal feature selection using ranking methods and classification algorithms
We presented a comparison between several feature ranking methods used on two real datasets. We considered six ranking methods that can be divided into two broad categories: statistical and entropy-based. Four supervised learning algorithms are adopted to build models, namely, IB1, Naive Bayes, C...
| Published in: | Yugoslav Journal of Operations Research |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade
2011-01-01
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| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431101119N.pdf |