Example usage for weka.classifiers.trees RandomTree setMinVarianceProp

Introduction

In this page you can find the example usage for weka.classifiers.trees RandomTree setMinVarianceProp.

Prototype

public void setMinVarianceProp(double newMinVarianceProp) 

Source Link

Document

Set the value of MinVarianceProp.

Usage

From source file:KFST.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod.java

License:Open Source License

/**
 * {@inheritDoc }//from   w  w w  . ja  v a2s  . c o m
 */
@Override
protected String buildClassifier(Instances dataTrain) {
    try {
        if (TREE_TYPE == TreeType.C45) {
            J48 decisionTreeC45 = new J48();
            decisionTreeC45.setConfidenceFactor((float) confidenceValue);
            decisionTreeC45.setMinNumObj(minNumSampleInLeaf);
            decisionTreeC45.buildClassifier(dataTrain);
            return decisionTreeC45.toString();
        } else if (TREE_TYPE == TreeType.RANDOM_TREE) {
            RandomTree decisionTreeRandomTree = new RandomTree();
            decisionTreeRandomTree.setKValue(randomTreeKValue);
            decisionTreeRandomTree.setMaxDepth(randomTreeMaxDepth);
            decisionTreeRandomTree.setMinNum(randomTreeMinNum);
            decisionTreeRandomTree.setMinVarianceProp(randomTreeMinVarianceProp);
            decisionTreeRandomTree.buildClassifier(dataTrain);
            return decisionTreeRandomTree.toString();
        }
    } catch (Exception ex) {
        Logger.getLogger(DecisionTreeBasedMethod.class.getName()).log(Level.SEVERE, null, ex);
    }
    return "";
}

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