RandomizedSearchCVRandomizedSearchCV# class sklearn.model_selection.RandomizedSearchCV(estimator, param_distributions, *, n_iter=10, scoring=None, n_jobs=None, refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs', random_state=None, error_score=nan, return_train_score=False)[source]# Randomized search on hyper parameters. RandomizedSearchCV implements a “fit” and a “score” method. It also implements “score_sampl
