Multiple Choices
Answer (Choose 1 answer)
In k-fold cross-validation, how will increase of k affect the variance (across subsamples) of estimated model parameters?
A. Increasing of k will not affect the variance of estimated parameters.
B. Increasing of k will usually reduce the variance of estimated parameters.
C. Increasing of k will usually increase the variance of estimated parameters.
D. Increasing of k will increase the variance of estimated parameters if models are underfit, but reduce it if models are overfit.
