public void testDLTestMatchesEvenOnMismatchedTargetAttributeValue()
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
Example e = ds.getExample(0);
DLTest test = new DLTest();
test.add("type", "French");
Assert.IsTrue(test.matches(e));
}
public void testDLTestMatchSucceedsWithMatchedExample()
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
Example e = ds.getExample(0);
DLTest test = new DLTest();
test.add("type", "French");
Assert.IsTrue(test.matches(e));
}
public void testDLTestMatchFailsOnMismatchedExample()
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
Example e = ds.getExample(0);
DLTest test = new DLTest();
test.add("type", "Thai");
Assert.IsFalse(test.matches(e));
}
public void testDecisionListHandlesEmptyDataSet()
{
// tests first base case of recursion
DecisionList dlist = new DecisionList("Yes", "No");
DLTest test1 = new DLTest();
test1.add("type", "Thai"); // doesn't match first example
dlist.add(test1, "test1success");
}
public void testDecisionListWithSingleTestReturnsTestValueIfTestSuccessful()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test = new DLTest();
test.add("type", "French");
dlist.add(test, "test1success");
Assert.AreEqual("test1success", dlist.predict(ds.getExample(0)));
}
public void testDLTestReturnsMatchedAndUnmatchedExamplesCorrectly()
{
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test = new DLTest();
test.add("type", "Burger");
DataSet matched = test.matchedExamples(ds);
Assert.AreEqual(4, matched.size());
DataSet unmatched = test.unmatchedExamples(ds);
Assert.AreEqual(8, unmatched.size());
}
public void testDecisionListFallsThruToDefaultIfNoTestMatches()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test1 = new DLTest();
test1.add("type", "Thai"); // doesn't match first example
dlist.add(test1, "test1success");
DLTest test2 = new DLTest();
test2.add("type", "Burger");
dlist.add(test2, "test2success");// doesn't match first example
Assert.AreEqual("No", dlist.predict(ds.getExample(0)));
}
public void testDecisionListMerge()
{
DecisionList dlist1 = new DecisionList("Yes", "No");
DecisionList dlist2 = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test1 = new DLTest();
test1.add("type", "Thai"); // doesn't match first example
dlist1.add(test1, "test1success");
DLTest test2 = new DLTest();
test2.add("type", "French");
dlist2.add(test2, "test2success");// matches first example
DecisionList dlist3 = dlist1.mergeWith(dlist2);
Assert.AreEqual("test2success", dlist3.predict(ds.getExample(0)));
}
private DecisionList DecisionListLearning(DataSet ds)
{
if (ds.Count == 0)
{
return(new DecisionList(positive, negative));
}
var possibleTests = testFactory.CreateDLTestsWithAttributeCount(ds, 1);
DLTest test = this.GetValidTest(possibleTests, ds);
if (test == null)
{
return(new DecisionList(null, Failure));
}
// at this point there is a test that classifies some subset of examples
// with the same target value
DataSet matched = test.MatchedExamples(ds);
var list = new DecisionList(positive, negative);
list.Add(test, matched.GetExample(0).TargetValue());
return(list.MergeWith(this.DecisionListLearning(test.UnmatchedExamples(ds))));
}
//
// PRIVATE METHODS
//
private DecisionList decisionListLearning(DataSet ds)
{
if (ds.size() == 0)
{
return(new DecisionList(positive, negative));
}
List <DLTest> possibleTests = testFactory
.createDLTestsWithAttributeCount(ds, 1);
DLTest test = getValidTest(possibleTests, ds);
if (test == null)
{
return(new DecisionList(null, FAILURE));
}
// at this point there is a test that classifies some subset of examples
// with the same target value
DataSet matched = test.matchedExamples(ds);
DecisionList list = new DecisionList(positive, negative);
list.add(test, matched.getExample(0).targetValue());
return(list.mergeWith(decisionListLearning(test.unmatchedExamples(ds))));
}
private DLTest CreateForTestL(int i)
{
DLTest t = new DLTest();
t.DayDate = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).AddMinutes(rnd.Next(0, 40));
t.DayDate2 = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).
AddMinutes(rnd.Next(0, 40));
t.DayDate3 = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).
AddMinutes(rnd.Next(0, 40));
t.DayDate4 = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).
AddMinutes(rnd.Next(0, 40));
t.DayDate5 = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).
AddMinutes(rnd.Next(0, 40));
t.DayDate6 = DateTime.Now.AddDays(rnd.Next(10, 20000)).AddHours(rnd.Next(0, 10)).
AddMinutes(rnd.Next(0, 40));
t.ddVal = (decimal)rnd.NextDouble() * 1000000M;
t.ddVal2 = (decimal)rnd.NextDouble() * 1000000M;
t.ddVal3 = (decimal)rnd.NextDouble() * 1000000M;
t.ddVal4 = (decimal)rnd.NextDouble() * 1000000M;
t.ddVal5 = (decimal)rnd.NextDouble() * 1000000M;
t.ddVal6 = (decimal)rnd.NextDouble() * 1000000M;
t.dVal = rnd.NextDouble() * 100000;
t.dVal2 = rnd.NextDouble() * 100000;
t.dVal3 = rnd.NextDouble() * 100000;
t.dVal4 = rnd.NextDouble() * 100000;
t.dVal5 = rnd.NextDouble() * 100000;
t.dVal6 = rnd.NextDouble() * 100000;
t.idx = rnd.Next(0, 1000000);
t.sIdx = "XXXYYYZZZ" + (rnd.NextDouble() * 100000).ToString();
t.sIdx2 = "XXXYYYZZZ2" + (rnd.NextDouble() * 100000).ToString();
t.sIdx3 = "XXXYYYZZZ3" + (rnd.NextDouble() * 100000).ToString();
t.sIdx4 = "XXXYYYZZZ3" + (rnd.NextDouble() * 100000).ToString();
t.sIdx5 = "XXXYYYZZZ3" + (rnd.NextDouble() * 100000).ToString();
t.sIdx6 = "XXXYYYZZZ3" + (rnd.NextDouble() * 100000).ToString();
return(t);
}
