Selecting attributes (Intermediate)

All the attributes are not always relevant for the classification tasks, in fact, irrelevant attributes can even decrease the performance of some algorithms. This recipe will show you how to find relevant attributes. It will demonstrate how to select an evaluator and a searching method that applies the selected evaluator on the attributes. In Weka, you have three options for performing attribute selection:

  • The filter approach (located in weka.filters.supervised.attribute.AttributeSelectio
  • located in weka.attributeSelection), using the attribute selection classes directly outputting some additional useful information
  • The meta-classifier approach that combines a search algorithm and evaluator next to a base classifier ...

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