Imagine you had a learning problem with an instance space ofpoints on the plane and a target function that you knew took theform of a line on the plane where all points on one side of theline are positive and all those on the other are negative. If youwere constrained to only use decision tree or nearest-neighborlearning, which would you use? Why?
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