def test_Train(self):
knn = Knn()
knnParameter = KnnParameter(1, 3, EuclidianDistance())
knn.train(self.iris.getInstanceList(), knnParameter)
self.assertAlmostEqual(4.00, 100 * knn.test(self.iris.getInstanceList()).getErrorRate(), 2)
knn.train(self.bupa.getInstanceList(), knnParameter)
self.assertAlmostEqual(19.42, 100 * knn.test(self.bupa.getInstanceList()).getErrorRate(), 2)
knn.train(self.dermatology.getInstanceList(), knnParameter)
self.assertAlmostEqual(3.01, 100 * knn.test(self.dermatology.getInstanceList()).getErrorRate(), 2)
knn.train(self.car.getInstanceList(), knnParameter)
self.assertAlmostEqual(20.31, 100 * knn.test(self.car.getInstanceList()).getErrorRate(), 2)
knn.train(self.tictactoe.getInstanceList(), knnParameter)
self.assertAlmostEqual(32.57, 100 * knn.test(self.tictactoe.getInstanceList()).getErrorRate(), 2)
def test_Knn(self):
knn = Knn()
knnParameter = KnnParameter(1, 3, EuclidianDistance())
normalize = Normalize(self.iris)
normalize.convert()
knn.train(self.iris.getInstanceList(), knnParameter)
self.assertAlmostEqual(4.67, 100 * knn.test(self.iris.getInstanceList()).getErrorRate(), 2)
normalize = Normalize(self.bupa)
normalize.convert()
knn.train(self.bupa.getInstanceList(), knnParameter)
self.assertAlmostEqual(16.52, 100 * knn.test(self.bupa.getInstanceList()).getErrorRate(), 2)
normalize = Normalize(self.dermatology)
normalize.convert()
knn.train(self.dermatology.getInstanceList(), knnParameter)
self.assertAlmostEqual(1.91, 100 * knn.test(self.dermatology.getInstanceList()).getErrorRate(), 2)
def test_Knn(self):
knn = Knn()
knnParameter = KnnParameter(1, 3, EuclidianDistance())
pca = Pca(self.iris)
pca.convert()
knn.train(self.iris.getInstanceList(), knnParameter)
self.assertAlmostEqual(3.33, 100 * knn.test(self.iris.getInstanceList()).getErrorRate(), 2)
pca = Pca(self.bupa)
pca.convert()
knn.train(self.bupa.getInstanceList(), knnParameter)
self.assertAlmostEqual(19.13, 100 * knn.test(self.bupa.getInstanceList()).getErrorRate(), 2)
pca = Pca(self.dermatology)
pca.convert()
knn.train(self.dermatology.getInstanceList(), knnParameter)
self.assertAlmostEqual(2.73, 100 * knn.test(self.dermatology.getInstanceList()).getErrorRate(), 2)
def test_Knn(self):
knn = Knn()
knnParameter = KnnParameter(1, 3, EuclidianDistance())
discreteToIndexed = LaryToBinary(self.car)
discreteToIndexed.convert()
knn.train(self.car.getInstanceList(), knnParameter)
self.assertAlmostEqual(20.31, 100 * knn.test(self.car.getInstanceList()).getErrorRate(), 2)
def test_Knn(self):
knn = Knn()
knnParameter = KnnParameter(1, 3, EuclidianDistance())
discreteToContinuous = DiscreteToContinuous(self.car)
discreteToContinuous.convert()
knn.train(self.car.getInstanceList(), knnParameter)
self.assertAlmostEqual(
20.31, 100 * knn.test(self.car.getInstanceList()).getErrorRate(),
2)