When performing k-fold cross-validation in SAS Model Studio, what is the primary purpose of holding out each fold in turn?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — b is correct because k-fold cross-validation rotates each fold as a validation set so every observation is used exactly once for validation, yielding a low-variance, unbiased generalization error estimate while still using all data for training. A is wrong because k-fold uses all observations across the k cycles.
Full Explanation
B is correct because k-fold cross-validation rotates each fold as a validation set so every observation is used exactly once for validation, yielding a low-variance, unbiased generalization error estimate while still using all data for training. A is wrong because k-fold uses all observations across the k cycles. C is wrong because model complexity is a hyperparameter choice, not a cross-validation outcome. D is wrong because parallelism is an implementation detail, not the primary purpose.