What is a benefit of k-fold cross-validation over the static holdout method?

a. The k-fold cross-validation method is computationally faster.

b. The k-fold cross-validation method is easier to implement when the standardization or normalization of variables is required.

c. For k = 1, the k-fold cross-validation method is the same as the static holdout method.

d. The k-fold cross-validation method results in an out-of-sample prediction for every observation in the data.