Improving the accuracy of classification algorithms for inductive learning rules using wrapper methods
In this paper we investigate the problem of the accuracy of classifier using wrapper methods. For the purposes of classification is used a large number of algorithms: IBK, Naïve Bayes, SVM, J48 decision tree and RBF networks. Experimental results show that wrapper methods can rapidly identify irrele...
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| Format: | Article |
| Language: | English |
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Savez inženjera i tehničara Srbije
2015-01-01
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| Series: | Tehnika |
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| Online Access: | http://scindeks-clanci.ceon.rs/data/pdf/0040-2176/2015/0040-21761503528N.pdf |