Accord.Tests.MachineLearning.SimplificationTest.createTree C# (CSharp) Method

        private static DecisionTree createTree(out double[][] inputs, out int[] outputs)
        {
            string nurseryData = Resources.nursery;

            string[] inputColumns = 
            {
                "parents", "has_nurs", "form", "children",
                "housing", "finance", "social", "health"
            };


            string outputColumn = "output";


            DataTable table = new DataTable("Nursery");
            table.Columns.Add(inputColumns);
            table.Columns.Add(outputColumn);

            string[] lines = nurseryData.Split(
                new[] { Environment.NewLine }, StringSplitOptions.None);

            foreach (var line in lines)
                table.Rows.Add(line.Split(','));


            Codification codebook = new Codification(table);


            DataTable symbols = codebook.Apply(table);
            inputs = symbols.ToArray(inputColumns);
            outputs = symbols.ToArray<int>(outputColumn);


            var attributes = DecisionVariable.FromCodebook(codebook, inputColumns);
            var tree = new DecisionTree(attributes, classes: 5);


            C45Learning c45 = new C45Learning(tree);

            c45.Run(inputs, outputs);

            return tree;
        }