====== Learning Decision Trees ======

Material:
  * {{:public:t-622-arti-12-1:dtl_learning.zip|java project}}

Tasks:
  - Change the existing code, so that it prints (the necessary data) for a learning curve.
  - Plot the learning curves for all three data sets (monk-1, monk-2, monk-3) and interpret them.
  - Are the trees that are learned consistent with the training data? If not, what could be the reason?
  - Look at the true functions for the three data sets in monk.names (Section 9). Design a good decision tree for each of the concepts by hand.
  - Compare these decision trees to the ones that were learned by the algorithm (on the whole training data).


Hand In:
  - Learning curves for the three data sets.
  - Interpretation of the learning curves.
  - Answer to 3.
  - Decision trees for 4.
  - Interpretation of your findings for 5.