Construct a data set (set of examples with attributes and classifications) that would cause the decision-tree learning

Question:

Construct a data set (set of examples with attributes and classifications) that would cause the decision-tree learning algorithm to find a non-minimal-sized tree. Show the tree constructed by the algorithm and the minimal-sized tree that you can generate by hand.

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