typos

doc/src/DecisionTrees/DecisionTrees.do.txt

@@ -35,13 +35,8 @@ given some assumptions, make predictions about the target feature value
 !split
 ===== A typical Decision Tree with its pertinent Jargon, Classification Problem =====
 
-In the figure here we present a decision tree obtained from a classification problem
 
 
-!split
-===== A typical Decision Tree with its pertinent Jargon, Regeression Problem =====
-
-In the figure we present a decision tree obtained from a simple regression  problem
 
 
 !split
@@ -665,12 +660,13 @@ attributes at each step while growing the tree.
 !split
 =====  Implementing the ID3 Algorithm =====
 
+!bc pycod
 import re
 import math
 from collections import deque
 
 # x is examples in training set
-# y is set of attributes
+# y is set of targets
 # label is target attributes
 # Node is a class which has properties values, childs, and next
 # root is top node in the decision tree
@@ -852,7 +848,7 @@ def test():
 
 if __name__ == '__main__':
 	test()
-
+!ec
 
 !split
 =====  Cancer Data again now with Decision Trees and other Methods =====