// ----------------------------------------------------------------------------------------------------
// Method to initialize
public void Initialize(DecisionTree dsTree, LibraryDecisionTree libDsTree)
{
viewComboBox.SelectedIndex = 0;
conditionComboBox.SelectedIndex = 0;
gradeComboBox.SelectedIndex = 0;
sqftLiving15ComboBox.SelectedIndex = 0;
sqftLivingComboBox.SelectedIndex = 0;
sqftAboveComboBox.SelectedIndex = 0;
sqftBsmteComboBox.SelectedIndex = 0;
sqftLiving15ComboBox.SelectedIndex = 0;
sqftLot15ComboBox.SelectedIndex = 0;
sqftLotComboBox.SelectedIndex = 0;
OwnImplementation = true;
this.dsTree = dsTree;
this.libDsTree = libDsTree;
}
// ----------------------------------------------------------------------------------------------------
// Initialize method
public void Initialize(DecisionTree dsTree, LibraryDecisionTree libDsTree, PredictControl pControl)
{
DecisionTree = dsTree;
LibraryDecisionTree = libDsTree;
PredictControl = pControl;
trainingSizeSelector.SelectedIndex = 8;
implementationOption1.Select();
}
// ----------------------------------------------------------------------------------------------------
// Constructor method
public MainWindow()
{
InitializeComponent();
mainWindowTabs.DrawItem += new DrawItemEventHandler(mainWindowTabs_DrawItem);
Manager = new DataSetManager();
GraphicsManager = new GraphicsProcessor(Manager);
DecisionTree = new DecisionTree(Manager.Data, "price_range");
LibraryDecisionTree = new LibraryDecisionTree();
chartsControl1.Initialize(GraphicsManager);
dataViewerControl.Initialize(Manager, chartsControl1);
decisionTreeControl.Initialize(DecisionTree, LibraryDecisionTree, predictControl);
predictControl.Initialize(DecisionTree, LibraryDecisionTree);
}
// ----------------------------------------------------------------------------------------------------
// Method to implementate the tree (Button)
private void selectImplementationButton_Click(object sender, EventArgs e)
{
if (implementationOption1.Checked)
{
try
{
int heightLimit = int.Parse(heigthLimitTxtBox.Text);
if (heightLimit <= 1)
{
throw new FormatException("Invalid height");
}
double trainingP = double.Parse((string)trainingSizeSelector.SelectedItem);
double testP = double.Parse((string)testSizeSelector.SelectedItem);
Stopwatch sw = new Stopwatch();
sw.Start();
DecisionTree.GenerateTree(heightLimit, trainingP, testP);
sw.Stop();
Console.WriteLine("Training time(own): " + sw.ElapsedMilliseconds + " ms");
accuracyLabelTraining.Text = "Accuracy: " + Math.Round(DecisionTree.AccuracyTraining * 100, 2) + "%";
resetTreeButton.Enabled = true;
trainButton.Enabled = false;
LoadTree(DecisionTree.Root);
testingButton.Enabled = true;
PredictControl.OwnImplementation = true;
}
catch (FormatException)
{
MessageBox.Show("Be sure the number input is correct!", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
else if (implementationOption2.Checked)
{
Stopwatch sw = new Stopwatch();
sw.Start();
LibraryDecisionTree.BuildMultiClassificationTree();
sw.Stop();
Console.WriteLine("Training time(library): " + sw.ElapsedMilliseconds + " ms");
double accuracyTraining = LibraryDecisionTree.ClassificationTrainingMetrics.MicroAccuracy;
double accuracyTesting = LibraryDecisionTree.ClassificationTestMetrics.MicroAccuracy;
accuracyLabelTraining.Text = $"Accuracy: {Math.Round(accuracyTraining*100,2)}%";
accuracyLabelTest.Text = $"Accuracy: {Math.Round(accuracyTesting * 100, 2)}%";
PredictControl.OwnImplementation = false;
}
else
{
MessageBox.Show("Please select one option");
}
}