AIMA.Core.Learning.Learners.DecisionTreeLearner.predict C# (CSharp) Method

        public String predict(Example e)
        {
            return (String)tree.predict(e);
        }

        public void testDefaultUsedWhenTrainingDataSetHasNoExamples()
        {
            // tests RecursionBaseCase#1
            DataSet ds = DataSetFactory.getRestaurantDataSet();
            DecisionTreeLearner learner = new DecisionTreeLearner();

            DataSet ds2 = ds.emptyDataSet();
            Assert.AreEqual(0, ds2.size());

            learner.train(ds2);
            Assert.AreEqual("Unable To Classify", learner.predict(ds
                    .getExample(0)));
        }