public void TestKnn()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
var discreteToIndexed = new DiscreteToIndexed(car);
discreteToIndexed.Convert();
knn.Train(car.GetInstanceList(), knnParameter);
Assert.AreEqual(4.75, 100 * knn.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
discreteToIndexed = new DiscreteToIndexed(tictactoe);
discreteToIndexed.Convert();
knn.Train(tictactoe.GetInstanceList(), knnParameter);
Assert.AreEqual(5.64, 100 * knn.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestLinearPerceptron()
{
var linearPerceptron = new LinearPerceptron();
var linearPerceptronParameter = new LinearPerceptronParameter(1, 0.1, 0.99, 0.2, 100);
var discreteToIndexed = new DiscreteToIndexed(car);
discreteToIndexed.Convert();
linearPerceptron.Train(car.GetInstanceList(), linearPerceptronParameter);
Assert.AreEqual(8.80, 100 * linearPerceptron.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
discreteToIndexed = new DiscreteToIndexed(tictactoe);
discreteToIndexed.Convert();
linearPerceptron.Train(tictactoe.GetInstanceList(), linearPerceptronParameter);
Assert.AreEqual(1.67, 100 * linearPerceptron.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestC45()
{
var c45 = new C45();
var c45Parameter = new C45Parameter(1, true, 0.2);
var discreteToIndexed = new DiscreteToIndexed(car);
discreteToIndexed.Convert();
c45.Train(car.GetInstanceList(), c45Parameter);
Assert.AreEqual(10.76, 100 * c45.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
discreteToIndexed = new DiscreteToIndexed(tictactoe);
discreteToIndexed.Convert();
c45.Train(tictactoe.GetInstanceList(), c45Parameter);
Assert.AreEqual(16.08, 100 * c45.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
discreteToIndexed = new DiscreteToIndexed(nursery);
discreteToIndexed.Convert();
c45.Train(nursery.GetInstanceList(), c45Parameter);
Assert.AreEqual(24.95, 100 * c45.Test(nursery.GetInstanceList()).GetErrorRate(), 0.01);
}
