I am doing a preperation for the exam and I am confronted with this question, can you tell me, which solutions are right?
a. Split-sample cross-validation is a biased estimate of model fit.
b. Split-sample cross-validation is too noisy to be useful in practice.
c. K-fold cross-validation is a low-variance estimate of model fit.
d. Increasing the number of folds increases statistical power.