SDTREE Decision tree classifier

    P=SDTREE(DATA)

 INPUT
   DATA    Labeled dataset

 OUTPUT
   P       Decision tree pipeline

 DESCRIPTION
 SDTREE implements decision tree training. It splits the available
 DATA into training and validation parts. Then it builds the tree
 on the training part and estimates error using the validation subset.
 Tree with minimal validation set error is returned.
 SDTREE is scalable to very large numbers of samples.

 READ MORE
 http://doc.prsdstudio.com/latest/guide/classifiers.html#sdtree