Question: Part III. Classification Tree A. Build a classification tree that predicts the cancellation policy of an airbnb rental listing, with the outcome classes flexible, moderate,

Part III. Classification Tree A. Build a classification tree that predicts the cancellation policy of an airbnb rental listing, with the outcome classes "flexible", "moderate", and "strict." B. Determine the ideal size of your tree using cross-validation. C. Using rpart.plot and your choice of graphical parameters, show your tree model here. D. In a 1-2 paragraph write-up, describe your process. Talk about some of the features that you considered using, and your reasons why. Mention anything

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