Using the following pruning table, what does the Rel Error represent?
A) Rel error is the calculated difference after the standard deviation is removed.
B) Rel error is the cross-validation error associated with each candidate tree.
C) Rel error is the error for predictions of the data that were used to estimate the model.
D) Rel error is the parameter associated with the candidate tree and complexity level.
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