public void testDecisionListLearnerReturnsNegativeDLWhenDataSetEmpty()
{
// tests first base case of DL Learner
DecisionListLearner learner = new DecisionListLearner("Yes", "No",
new MockDLTestFactory(null));
DataSet ds = DataSetFactory.getRestaurantDataSet();
DataSet empty = ds.emptyDataSet();
learner.Train(empty);
Assert.AreEqual("No", learner.Predict(ds.getExample(0)));
Assert.AreEqual("No", learner.Predict(ds.getExample(1)));
Assert.AreEqual("No", learner.Predict(ds.getExample(2)));
}
public void testDecisionListLearnerReturnsFailureWhenTestsEmpty()
{
// tests second base case of DL Learner
DecisionListLearner learner = new DecisionListLearner("Yes", "No", new MockDLTestFactory(CollectionFactory.CreateQueue <aima.net.learning.inductive.DecisionListTest>()));
DataSet ds = DataSetFactory.getRestaurantDataSet();
learner.Train(ds);
Assert.AreEqual(DecisionListLearner.FAILURE,
learner.Predict(ds.getExample(0)));
}