Accord.Tests.MachineLearning.ID3LearningTest.CreateXORExample C# (CSharp) Method

        public static void CreateXORExample(out DecisionTree tree, out int[][] inputs, out int[] outputs)
        {
            inputs = new int[][]
            {
                new int[] { 1, 0, 0, 1 },
                new int[] { 0, 1, 0, 0 },
                new int[] { 0, 0, 0, 0 },
                new int[] { 1, 1, 0, 0 },
                new int[] { 0, 1, 1, 1 },
                new int[] { 0, 0, 1, 1 },
                new int[] { 1, 0, 1, 1 }
            };

            outputs = new int[]
            {
                1, 1, 0, 0, 1, 0, 1
            };

            DecisionVariable[] attributes =
            {
               new DecisionVariable("a1", 2), 
               new DecisionVariable("a2", 2), 
               new DecisionVariable("a3", 2), 
               new DecisionVariable("a4", 2)  
            };

            int classCount = 2;

            tree = new DecisionTree(attributes, classCount);
            ID3Learning id3 = new ID3Learning(tree);


            double error = id3.Run(inputs, outputs);

            Assert.AreEqual(0, error);
        }