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--- public:t-622-arti-12-1:lab_5_-_learning_decision_trees [2012/03/15 12:28] – stephan
+++ public:t-622-arti-12-1:lab_5_-_learning_decision_trees [2024/04/29 13:33] (current) – external edit 127.0.0.1
@@ Line 2: / Line 2: @@
 Material:
-{{:public:t-622-arti-12-1:dtl_learning.zip|java project}}
+  * {{: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.