sklearn.model_selection.ShuffleSplit — scikit-learn 0.20.0 documentationShuffleSplit# class sklearn.model_selection.ShuffleSplit(n_splits=10, *, test_size=None, train_size=None, random_state=None)[source]# Random permutation cross-validator. Yields indices to split data into training and test sets. Note: contrary to other cross-validation strategies, random splits do not guarantee that test sets across all folds will be mutually exclusive, and might include overlappin
