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what is grid.best_params_ do
clf = GridSearchCV(estimator=RandomForestClassifier(),
param_grid=parameter_candidates,
cv=5,
refit=True,
error_score=0,
n_jobs=-1)
clf.fit(training_set, training_classifications)
optimised_random_forest = clf.best_estimator_
return optimised_random_forest
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