Which statement(s) best describe(s) the advantages of using Classification and Regression Trees (CART) instead of K-Nearest Neighbor (KNN)?

• Statement I: For CART there is no requirement to specify an initial hyperparameter (like K).
• Statement II: For CART there is no requirement to specify a similarity (or distance) measure.
• Statement III: For CART the output provides a visual explanation for the prediction.