Question: Assuming a Classification and Regression Tree (CART) model is used to accomplish Step 3, which of the following is most likely to result in model

Assuming a Classification and Regression Tree (CART) model is used to accomplish Step 3, which of the following is most likely to result in model overfitting?

A. Using the k-fold cross validation method B. Including an overfitting penalty (i.e., regularization term).

C. Using a fitting curve to select a model with low bias error and high variance error.

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