I am a newbie in Data Science. I would like to know when shall we use Cross Validation techniques in a Data Science Project.
For ex . I understand K Fold Cross Validation technique is used to iterate over the entire dataset to choose training and test data set and get the maximum accuracy in a particular combination of training and test set. Then we will calculate the RMSE. In this i would like to know only based on Cross Validation technique we will choose the training and test set which gives the maximum accuracy ???