Question: Consider a RandomizedSearchCV with the following parametersparam _ grid = { ' n _ estimators': [ 5 0 , 1 0 0 , 1 5

Consider a RandomizedSearchCV with the following parametersparam_grid={'n_estimators':[50,100,150,200], 'learning_rate':[0.01,0.1,0.2,0.3]}gb = GradientBoostingClassifier(random_state=1)#Calling RandomizedSearchCVclf = RandomizedSearchCV(estimator=gb, param_distributions=param_grid, cv=5, random_state=1, n_iter =10)clf.fit(X_train,y_train)How many times will the randomized search fit the model?Answer choicesSelect only one option50913527PreviousNext

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