package mulan.examples;/** * * @author greg */import mulan.classifier.BinaryRelevanceClassifier;import mulan.classifier.AbstractMultiLabelClassifier.*;import mulan.evaluation.Evaluator;import weka.core.Instances;import java.io.*;import mulan.*;import mulan.classifier.LabelPowersetClassifier;import mulan.classifier.MLkNN;import mulan.classifier.RAKEL;import mulan.evaluation.IntegratedCrossvalidation;import weka.classifiers.trees.J48;public class CrossValidationExperiment {        /**     * Creates a new instance of this class     */    public CrossValidationExperiment() {    }    	public static void main(String[] args) throws Exception	{            String path = "d:/work/datasets/multilabel/scene/";            String filename = "scene.arff";            int numLabels = 6;            FileReader frData = new FileReader(path + filename);            Instances data = new Instances(frData);                                        Evaluator eval = new Evaluator(5);            IntegratedCrossvalidation results;            //* Binary Relevance Classifier            System.out.println("BR");            BinaryRelevanceClassifier br = new BinaryRelevanceClassifier();            J48 brBaseClassifier = new J48();            br.setBaseClassifier(brBaseClassifier);            br.setNumLabels(numLabels);            results = eval.crossValidateAll(br, data, 10);            System.out.println(results.toString());            System.gc();            //*/            //* Label Powerset Classifier            System.out.println("LP");            J48 lpBaseClassifier = new J48();            LabelPowersetClassifier lp = new LabelPowersetClassifier(lpBaseClassifier, numLabels);            results = eval.crossValidateAll(lp, data, 10);            System.out.println(results.toString());            System.gc();            //*/                        //* RAKEL            System.out.println("RAKEL");            RAKEL rakel = new RAKEL(numLabels, 10, 3);            J48 rakelBaseClassifier = new J48();            rakel.setBaseClassifier(rakelBaseClassifier);            rakel.setParamSelectionViaCV(true);            rakel.setParamSets(3, 2, numLabels-1, 1, 500, 0.1, 0.1, 9);            results = eval.crossValidateAll(rakel, data, 10);            System.out.println(results.toString());            System.gc();                            //*/                                    //* ML-kNN             System.out.println("ML-kNN");            int numNeighbours = 10;            MLkNN mlknn = new MLkNN(numLabels, numNeighbours, 1);            results = eval.crossValidateAll(mlknn, data, 10);            System.out.println(results.toString());            System.gc();                            //*/                }    }