static void decisionListDemo()
{
try
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
DecisionListLearner learner = new DecisionListLearner("Yes", "No",
new DecisionListTestFactory());
learner.Train(ds);
System.Console.WriteLine("The Induced DecisionList is");
System.Console.WriteLine(learner.getDecisionList());
int[] result = learner.Test(ds);
System.Console.WriteLine("\nThis Decision List classifies the data set with "
+ result[0]
+ " successes"
+ " and "
+ result[1]
+ " failures");
System.Console.WriteLine("\n");
}
catch (Exception e)
{
System.Console.WriteLine("Decision ListDemo Failed");
throw e;
}
}
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)));
}
public void testDecisionListTestRunOnRestaurantDataSet()
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
DecisionListLearner learner = new DecisionListLearner("Yes", "No",
new DecisionListTestFactory());
learner.Train(ds);
int[] result = learner.Test(ds);
Assert.AreEqual(12, result[0]);
Assert.AreEqual(0, result[1]);
}
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)));
}