"Modify Decision Tree Spliting Score"

Hi all,

I am new in RapidMiner and I need help for my testing. I would like to use RapidMiner to construct a decision tree for me, but I would like to use new splitting criterion instead of Gain Ratio, Info Gain, Gini Index or the other which are provided by RapidMiner. May I know could I do that? Below is some code which generate standard decision tree with Gain Ratio.

/**
*
* @author CP Lai
*/
public class MIM_DT {

    //RapidMiner operators
    private Operator exampleSource;
    private Operator decisionTree;
    private Operator modelWriter;

    public MIM_DT(){

        try{
            // Tell the Java application where rapidminer located and start rapidminer
            System.setProperty("rapidminer.home", "C:\\Program Files\\Rapid-I\\RapidMiner");
            RapidMiner.init(false, false, false, true);

            // Initialize ExampleSource operator
            exampleSource = OperatorService.createOperator( "ExampleSource" );
            exampleSource.setParameter("attributes", "C:\\Documents and Settings\\student\\Desktop\\MIMDT\\clev_training.aml");

            decisionTree = OperatorService.createOperator("DecisionTree");
            decisionTree.setParameter("criterion", "gain_ratio");

            modelWriter = OperatorService.createOperator("ModelWriter");
            modelWriter.setParameter("model_file", "C:\\Documents and Settings\\student\\Desktop\\MIMDT\\clev_training3.mod");
            modelWriter.setParameter("output_type", "Binary");

            this.runMIM_DT();
        }

        catch(Exception e){
            e.printStackTrace();
        }
    }

    private void runMIM_DT(){
       
        try {
            IOContainer container = exampleSource.apply(new IOContainer());
            ExampleSet eSet = container.get(ExampleSet.class);

            container = decisionTree.apply(container);
            Model aModel = container.get(Model.class);
            System.out.println("Result???");
            System.out.println(aModel.toString());

            container = modelWriter.apply(container);
            Model outModel = container.get(Model.class);

        } catch (OperatorException ex) {
            Logger.getLogger(MIM_DT.class.getName()).log(Level.SEVERE, null, ex);
        }
    }

    public static void main(String[] args){
        MIM_DT aTree = new MIM_DT();
    }

}

Your help will be fully appreciated by me. Thanks you

Chee Ping