Question

Which of the following statements regarding K in K-fold cross-validation is NOT TRUE?

a. The validation set will be split into K subsets.
b. The validation will repeat K times
c. K should always be a prime number
d. K is used to divide the dataset into K subsets for cross-validation

Answer 1

In K-fold cross-validation, the validation set is split into K subsets and the validation process is repeated K times.

Step-by-step explanation:

The correct statement about K in K-fold cross-validation is option c. K should always be a prime number. In K-fold cross-validation, the validation set is split into K subsets and the validation process is repeated K times. The purpose of K-fold cross-validation is to divide the dataset into K subsets to evaluate the performance of a machine learning model.