public void TestKnn()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
var laryToBinary = new LaryToBinary(car);
laryToBinary.Convert();
knn.Train(car.GetInstanceList(), knnParameter);
Assert.AreEqual(4.74, 100 * knn.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
laryToBinary = new LaryToBinary(tictactoe);
laryToBinary.Convert();
knn.Train(tictactoe.GetInstanceList(), knnParameter);
Assert.AreEqual(5.64, 100 * knn.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestKnn()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
var discreteToContinuous = new DiscreteToContinuous(car);
discreteToContinuous.Convert();
knn.Train(car.GetInstanceList(), knnParameter);
Assert.AreEqual(4.75, 100 * knn.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
discreteToContinuous = new DiscreteToContinuous(tictactoe);
discreteToContinuous.Convert();
knn.Train(tictactoe.GetInstanceList(), knnParameter);
Assert.AreEqual(5.64, 100 * knn.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestTrain()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
knn.Train(iris.GetInstanceList(), knnParameter);
Assert.AreEqual(4.00, 100 * knn.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
knn.Train(bupa.GetInstanceList(), knnParameter);
Assert.AreEqual(19.42, 100 * knn.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
knn.Train(dermatology.GetInstanceList(), knnParameter);
Assert.AreEqual(3.01, 100 * knn.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
knn.Train(car.GetInstanceList(), knnParameter);
Assert.AreEqual(4.75, 100 * knn.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
knn.Train(tictactoe.GetInstanceList(), knnParameter);
Assert.AreEqual(5.64, 100 * knn.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestKnn()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
var pca = new Pca(iris);
pca.Convert();
knn.Train(iris.GetInstanceList(), knnParameter);
Assert.AreEqual(4.00, 100 * knn.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
pca = new Pca(bupa);
pca.Convert();
knn.Train(bupa.GetInstanceList(), knnParameter);
Assert.AreEqual(19.13, 100 * knn.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
pca = new Pca(dermatology);
pca.Convert();
knn.Train(dermatology.GetInstanceList(), knnParameter);
Assert.AreEqual(3.28, 100 * knn.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestKnn()
{
var knn = new Knn();
var knnParameter = new KnnParameter(1, 3, new EuclidianDistance());
var normalize = new Normalize(iris);
normalize.Convert();
knn.Train(iris.GetInstanceList(), knnParameter);
Assert.AreEqual(4.67, 100 * knn.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
normalize = new Normalize(bupa);
normalize.Convert();
knn.Train(bupa.GetInstanceList(), knnParameter);
Assert.AreEqual(16.52, 100 * knn.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
normalize = new Normalize(dermatology);
normalize.Convert();
knn.Train(dermatology.GetInstanceList(), knnParameter);
Assert.AreEqual(1.91, 100 * knn.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
}