Class BinC45ModelSelection

java.lang.Object
weka.classifiers.trees.j48.ModelSelection
weka.classifiers.trees.j48.BinC45ModelSelection
All Implemented Interfaces:
Serializable, RevisionHandler

public class BinC45ModelSelection extends ModelSelection
Class for selecting a C4.5-like binary (!) split for a given dataset.
Version:
$Revision: 10531 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
  • Constructor Details

    • BinC45ModelSelection

      public BinC45ModelSelection(int minNoObj, Instances allData, boolean useMDLcorrection, boolean doNotMakeSplitPointActualValue)
      Initializes the split selection method with the given parameters.
      Parameters:
      minNoObj - minimum number of instances that have to occur in at least two subsets induced by split
      allData - FULL training dataset (necessary for selection of split points).
      useMDLcorrection - whether to use MDL adjustement when finding splits on numeric attributes
  • Method Details