Question

Which of the following options are true for K-fold cross-validation?(multiple 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 numberof observations.​

Answer 1

Answer:

Explanation:

tion?(multiple 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

Answer 2

Answer:

A, B

Explanation:

Decrease in K will not result in higher confidence as it will reduce the training set. Also the Leave one out CV uses N-1.