Question

which of the following options are true for k fold cross validation?
(More than one correct answers)

a) Increase in K will result in higher time required to cross validate the result

b) Higher values of K will result in higher confidence on the cross validation result as compared to lower value of K

c) Decrease in K will result in higher confidence on the cross validation result as each fold will have more training samples compared to higher values of K

d) If K=N, then it is called "Leave one out cross validation", where N is the number of observations​

Answer 1

Answer:

Sorry don't know pls mark me as brainlist