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 and Infographic
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 below image
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.