Nursery tree creation

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

DataTable table = new DataTable("Nursery");
table.Columns.Add("parents", "has_nurs", "form", "children",
    "housing", "finance", "social", "health", "output");

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


// Create learning data
Codification codebook = new Codification(table);
DataTable symbols = codebook.Apply(table);

double[][] inputs = symbols.ToArray("parents", "has_nurs", "form", "children", "housing", "finance", "social", "health");
int[] outputs = symbols.ToIntArray("output").GetColumn(0);


// Create tree
DecisionVariable[] attributes =
{
    new DecisionVariable("parents",  3),
    new DecisionVariable("has_nurs", 5),
    new DecisionVariable("form",     4),
    new DecisionVariable("children", 4),
    new DecisionVariable("housing",  3),
    new DecisionVariable("finance",  2),
    new DecisionVariable("social",   3),
    new DecisionVariable("health",   3),
};

DecisionTree tree = new DecisionTree(attributes, 5);

// Create C45 and learn the tree
C45Learning c45 = new C45Learning(tree);
double error = c45.Run(inputs, outputs);

var exp = tree.ToExpression();