Index: trunk/CrossPare/src/de/ugoe/cs/cpdp/training/RandomClass.java
===================================================================
--- trunk/CrossPare/src/de/ugoe/cs/cpdp/training/RandomClass.java	(revision 34)
+++ trunk/CrossPare/src/de/ugoe/cs/cpdp/training/RandomClass.java	(revision 34)
@@ -0,0 +1,55 @@
+package de.ugoe.cs.cpdp.training;
+
+import java.util.Random;
+import java.util.logging.Level;
+
+import de.ugoe.cs.util.console.Console;
+import weka.classifiers.AbstractClassifier;
+import weka.classifiers.Classifier;
+import weka.core.Instance;
+import weka.core.Instances;
+
+/**
+ * Assigns a random class label to the instance it is evaluated on.
+ * 
+ * The range of class labels are hardcoded in fixedClassValues.
+ * This can later be extended to take values from the XML configuration. 
+ */
+public class RandomClass extends AbstractClassifier implements ITrainingStrategy, IWekaCompatibleTrainer {
+
+	private static final long serialVersionUID = 1L;
+
+	private double[] fixedClassValues = {0.0d, 1.0d};
+	
+	@Override
+	public void setParameter(String parameters) {
+		// do nothing, maybe take percentages for distribution later
+	}
+
+	@Override
+	public void buildClassifier(Instances arg0) throws Exception {
+		// do nothing
+	}
+
+	@Override
+	public Classifier getClassifier() {
+		return this;
+	}
+
+	@Override
+	public void apply(Instances traindata) {
+		// nothing to do
+	}
+
+	@Override
+	public String getName() {
+		return "RandomClass";
+	}
+	
+	@Override
+	public double classifyInstance(Instance instance) {
+		Random rand = new Random();
+	    int randomNum = rand.nextInt(this.fixedClassValues.length);
+		return this.fixedClassValues[randomNum];
+	}
+}
