Unlike splitting the data into one training and one holdout set, cross-validation computes its estimates over all the data by performing multiple splits and systematically swapping out samples for testing. code example
Example 1: cross validation error
cross validation errorExample 2: cross validation error
ModuleNotFoundError: No module named 'sklearn.cross_validation'