Question

When 10 fold cross validation is applying ,classification accuracy getting different?

Answer 1

Answer:

Explanation:

k-fold cross classification is about estimating the accuracy, not improving the accuracy. Increasing the k can improve the accuracy of the measurement of your accuracy (yes, think Inception), but it does not actually improve the original accuracy you are trying to measure.