| java.lang.Object weka.classifiers.trees.j48.ModelSelection weka.classifiers.trees.j48.C45ModelSelection
C45ModelSelection | public class C45ModelSelection extends ModelSelection (Code) | | Class for selecting a C4.5-type split for a given dataset.
author: Eibe Frank (eibe@cs.waikato.ac.nz) version: $Revision: 1.10 $ |
Constructor Summary | |
public | C45ModelSelection(int minNoObj, Instances allData) Initializes the split selection method with the given parameters. |
C45ModelSelection | public C45ModelSelection(int minNoObj, Instances allData)(Code) | | Initializes the split selection method with the given parameters.
Parameters: minNoObj - minimum number of instances that have to occur in at least twosubsets induced by split Parameters: allData - FULL training dataset (necessary forselection of split points). |
cleanup | public void cleanup()(Code) | | Sets reference to training data to null.
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