Accord.Tests.MachineLearning.C45LearningTest.ConsistencyTest1 C# (CSharp) Method

        public void ConsistencyTest1()
        {
            double[,] random = Matrix.Random(1000, 10, 0.0, 1.0);

            double[][] samples = random.ToJagged();
            int[] outputs = new int[1000];

            for (int i = 0; i < samples.Length; i++)
            {
                if (samples[i][0] > 0.8)
                    outputs[i] = 1;
            }

            DecisionVariable[] vars = new DecisionVariable[10];
            for (int i = 0; i < vars.Length; i++)
                vars[i] = new DecisionVariable(i.ToString(), DecisionVariableKind.Continuous);

            DecisionTree tree = new DecisionTree(vars, 2);

            C45Learning teacher = new C45Learning(tree);

            double error = teacher.Run(samples, outputs);

            Assert.AreEqual(0, error);

            Assert.AreEqual(2, tree.Root.Branches.Count);
            Assert.IsTrue(tree.Root.Branches[0].IsLeaf);
            Assert.IsTrue(tree.Root.Branches[1].IsLeaf);
        }