#get data for classification task
X_train, X_val, y_train, y_val = get_split_data(german_cred, target_name='bad_credit')

#Train and fit these models
rand_forest_cf.fit(X_train, y_train)
extra_tree_cf.fit(X_train, y_train)
bagging_meta_cf.fit(X_train, y_train)

#check their performance
print("ACC of Random Forest is : ", get_acc(rand_forest_cf.predict(X_val), y_val))
print("ACC of Extra Trees is : ", get_acc(extra_tree_cf.predict(X_val), y_val))
print("ACC of Bagging estimator is : ", get_acc(bagging_meta_cf.predict(X_val), y_val))