Example #1
0
  @Test
  public void testID3Simple2() throws Exception {

    String fileName = "ID3Simple2.arff";

    DecisionTreeBuilder dt = new DecisionTreeBuilder();

    ArffElements arffElements = ParserUtils.getArffElements(ROOT, fileName);
    List<Attribute> attributes = arffElements.getAttributes();
    String csvFilePath = getCreatedCSVFilePath(fileName, arffElements.getData(), APP_TEMP_FOLDER);
    IInstances instances =
        InstancesFactory.getInstance()
            .createInstances("STAND_ALONE", attributes, attributes.size() - 1, csvFilePath);
    dt.train(instances);

    List<Value> newValues =
        getValueListForTestInstance(
            attributes, "Y", "N", "Y", "N", "None", "Mod", "N", "Y", "Thai", "0-10");
    Instance newInstance = new Instance(newValues);

    Value targetClassValue = dt.classify(newInstance);

    Assert.assertTrue(targetClassValue.getName().equals("N"));
  }
Example #2
0
  @Test
  public void testID3Simple1() throws Exception {
    String fileName = "ID3Simple1.arff";

    DecisionTreeBuilder dtBuilder = new DecisionTreeBuilder();

    ArffElements arffElements = ParserUtils.getArffElements(ROOT, fileName);
    List<Attribute> attributes = arffElements.getAttributes();
    String csvFilePath = getCreatedCSVFilePath(fileName, arffElements.getData(), APP_TEMP_FOLDER);
    IInstances instances =
        InstancesFactory.getInstance()
            .createInstances("STAND_ALONE", attributes, attributes.size() - 1, csvFilePath);
    dtBuilder.train(instances);

    DecisionTreeNode rootNode = dtBuilder.getRootNode();
    Assert.assertTrue(rootNode.toString().equals("Outlook"));

    checkClassification("No", attributes, dtBuilder, "Sunny", "Hot", "High", "Strong");
    checkClassification("No", attributes, dtBuilder, "Sunny", "Cool", "High", "Strong");
    checkClassification("No", attributes, dtBuilder, "Sunny", "Mild", "High", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Sunny", "Mild", "Normal", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Sunny", "Hot", "Normal", "Strong");
    checkClassification("Yes", attributes, dtBuilder, "Sunny", "Cool", "Normal", "Weak");

    checkClassification("Yes", attributes, dtBuilder, "Overcast", "Mild", "High", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Overcast", "Hot", "Normal", "Strong");
    checkClassification("Yes", attributes, dtBuilder, "Overcast", "Cool", "High", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Overcast", "Mild", "Normal", "Strong");

    checkClassification("Yes", attributes, dtBuilder, "Rain", "Mild", "High", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Rain", "Cool", "Normal", "Weak");
    checkClassification("Yes", attributes, dtBuilder, "Rain", "Hot", "High", "Weak");
    checkClassification("No", attributes, dtBuilder, "Rain", "Hot", "Normal", "Strong");
    checkClassification("No", attributes, dtBuilder, "Rain", "Cool", "High", "Strong");
    checkClassification("No", attributes, dtBuilder, "Rain", "Mild", "Normal", "Strong");
  }