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Decision Boundary Limitations

You are classifying two classes that are perfectly separable with a single diagonal line: if x2 > x1, class A; otherwise class B.

  1. Can a decision tree perfectly classify this dataset with zero error?
  2. What would the tree's decision boundary look like?
  3. What does this reveal about when decision trees are the wrong model?

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