/// <summary> Returns a newly created tree.
///
/// </summary>
/// <param name="data">the training data
/// </param>
/// <param name="test">the pruning data.
/// </param>
/// <exception cref="Exception">if something goes wrong
/// </exception>
protected internal virtual ClassifierTree getNewTree(Instances train, Instances test)
{
ClassifierTree newTree = new ClassifierTree(m_toSelectModel);
newTree.buildTree(train, test, false);
return newTree;
}
/// <summary> Returns a newly created tree.
///
/// </summary>
/// <param name="data">the training data
/// </param>
/// <exception cref="Exception">if something goes wrong
/// </exception>
protected internal virtual ClassifierTree getNewTree(Instances data)
{
ClassifierTree newTree = new ClassifierTree(m_toSelectModel);
newTree.buildTree(data, false);
return newTree;
}