updating adaboost

doc/src/DecisionTrees/DecisionTrees.do.txt

@@ -1496,6 +1496,13 @@ We can then define the misclassification error $\mathrm{err}$ as
 !et
 where the function $I()$ is one if we misclassify and zero if we classify correctly. 
 
+!split
+===== Basic Steps of AdaBoost =====
+
+With the above definitions we are now ready to set up the algorithm for AdaBoost.
+
+
+
 !split
 ===== AdaBoost Examples =====
 !bc pycod