public void DecisionTreeLearn_OneSplit()
{
GlobalVariables.GrowCondition = new GrowCondition(5);
var synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
var tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(12, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.AreEqual(2, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Output);
int[] actual = tree.Decide(validation)
.Select(val => val > 0 ? 0 : 1)
.ToArray();
var areaSize = (double)tree.Decide(validation)
.Count(val => val > 0);
var confusionMatrix = new Accord.Statistics.Analysis.ConfusionMatrix(actual, validationOutput, 0, 1);
Assert.AreEqual(14, confusionMatrix.TruePositives);
Assert.AreEqual(40, confusionMatrix.TrueNegatives);
Assert.AreEqual(0, confusionMatrix.FalseNegatives);
Assert.AreEqual(2, confusionMatrix.FalsePositives);
Assert.AreEqual(16, areaSize);
}
public void DecisionTrreLearn_MinLeafSizeParameter()
{
GlobalVariables.GrowCondition = new GrowCondition(minLeafSize: 2);
var synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
var tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(12, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.AreEqual(0,
tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Branches[0].Output);
Assert.AreEqual(2,
tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Branches[1].Output);
GlobalVariables.GrowCondition = new GrowCondition(minLeafSize: 3);
synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(14, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Output);
}
public void DecisionTreeLearn_BoundingBox()
{
GlobalVariables.GrowCondition = new GrowCondition(0);
var synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
var tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(learn.Length, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.IsTrue(tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].IsLeaf);
int[] actual = tree.Decide(validation)
.Select(val => val > 0 ? 0 : 1)
.ToArray();
var areaSize = (double)tree.Decide(validation)
.Count(val => val > 0) / validation.Length;
var confusionMatrix = new Accord.Statistics.Analysis.ConfusionMatrix(actual, validationOutput, 0, 1);
}
private static void LearnDecisionTree()
{
timer.Start();
var learnDecisionTree = new SynthesisTreeLearn(
dataStorage.DecisionVariables, dataStorage.LearnDataSet, dataStorage.ValidationDataSet);
learnDecisionTree.Learn();
decisionTree = learnDecisionTree.Tree;
timer.Stop();
}
public void DecisionTreeLearn_BoundingBox()
{
var synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
var tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(9, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.IsTrue(tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].IsLeaf);
}
public void DecisionTreeLearn_MaxAttributeUsageParameter()
{
GlobalVariables.GrowCondition = new GrowCondition(maxAttributeUsage: 1);
var synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
var tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(3, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.AreEqual(9, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Output);
int[] actual = tree.Decide(validation)
.Select(val => val > 0 ? 0 : 1)
.ToArray();
var areaSize = (double)tree.Decide(validation)
.Count(val => val > 0) / validation.Length;
var confusionMatrix = new Accord.Statistics.Analysis.ConfusionMatrix(actual, validationOutput, 0, 1);
GlobalVariables.GrowCondition = new GrowCondition(maxAttributeUsage: 2);
synthesisTree = new SynthesisTreeLearn(attributes, learn, validation);
synthesisTree.Learn();
tree = synthesisTree.Tree;
Assert.AreEqual(1, tree.Root.Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches.Count);
Assert.AreEqual(3, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Output);
Assert.AreEqual(0, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Output);
Assert.AreEqual(9, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Output);
Assert.AreEqual(1, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Branches[0].Output);
Assert.AreEqual(2, tree.Root.Branches[0].Branches[0].Branches[0].Branches[0].Branches[1].Branches[1].Output);
}