An Analysis of Feature Selection Techniques
نویسنده
چکیده
In this paper several feature selection methods are explored. These are analysed to see what effect they have on the accuracy of a simple svm. Several filter and wrapper techniques are investigated. Hybrid methods which use combinations of filter and wrapper techniques are also investigated. Many filter methods are found to give no increase in accuracy for the classifier. The most effective method is found to be a hybrid method which is called ‘Ranked Forward Search’. This gives an increase in accuracy for the classifier when using only a small subset of the possible features.
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