Question: Comparing two ML models that could be used to accomplish Step 3, which statement(s) best describe(s) the advantages of using Classification and Regression Trees (CART)

Comparing two ML models that could be used to accomplish Step 3, 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.

A. Statement I only.

B. Statement III only.

C. Statements I, II and III.

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