public void C45_runmodel_case_3()
{
BuildC45 c45 = new BuildC45();
c45.SetMissingValue(-999);
ModelBase model = (ModelBase)c45.BuildModel(_trainingData,
_attributeHeaders,
_indexTargetAttribute);
double[] data = { 0, 1, 1, 0 };
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, 0);
}
public void C45_runmodel_case_5()
{
BuildC45 c45 = new BuildC45();
c45.SetMissingValue(999);
ModelBase model = (ModelBase)c45.BuildModel(_trainingData,
_attributeHeaders,
_indexTargetAttribute);
// Data will be in format "Outlook","Temperature","Humidity","Wind","PlayTennis"
double[] data = { 2, 1, 1, 1 };
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, 0);
}
public void C45_number_misclassified()
{
BuildC45 c45 = new BuildC45();
c45.SetMissingValue(999);
ModelBase model = (ModelBase)c45.BuildModel(_trainingData,
_attributeHeaders,
_indexTargetAttribute);
// Data will be in format "Outlook","Temperature","Humidity","Wind","PlayTennis"
DecisionTreePruning dtp = new DecisionTreePruning();
int value = dtp.getNumberMisclassified(
_trainingData,
_indexTargetAttribute,
model);
Assert.AreEqual(value, 1);
}
