Question: param _ grid = { ' n _ estimators': [ 5 0 , 1 0 0 , 1 5 0 , 2 0 0 ]

param_grid={'n_estimators':[50,100,150,200],
'learning_rate':[0.01,0.1,0.2,0.3]} gb = GradientBoostingClassifier(random_state=1) #Calling RandomizedSearchCV clf = RandomizedSearchCV(estimator=gb, param_distributions=param_grid, cv=5, random_state=1, n_iter =10) clf.fit(X_train,y_train)

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