diff --git a/trees/trees.go b/trees/trees.go
index ae8271e..d968b3e 100644
--- a/trees/trees.go
+++ b/trees/trees.go
@@ -11,6 +11,14 @@
 			present, so discretise beforehand (see
 			filters)
 
+  CART (Classification and Regression Trees):
+    Builds a binary decision tree using the CART algorithm
+      using a greedy approach to find the best split at each node.
+
+    Can be used for regression and classficiation.
+      Attributes have to be FloatAttributes even for classification.
+      Hence, convert to Integer Labels before hand for Classficiation.
+
 	RandomTree:
 		Builds a decision tree using the ID3 algorithm
 			by picking the Attribute amongst those