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In general, what type of data would be better suited for linear regression vs a decision tree in terms of having the lowest error form
In general, what type of data would be better suited for linear regression vs a decision tree in terms of having the lowest error form the predicted y? I know linear data is obviously best for linear regression, but what are examples of nonlinear functions that could be better for decision trees?
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