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What are common hyperparameter tuning methods in Scikit-learn?

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The two most commonly used methods are grid search and random search. Grid search is the process of defining a search space grid, and after you’ve selected hyperparameter values, grid search searches for the optimal combination.

Random search uses a wide range of hyperparam values and randomly iterates combinations. With random search, you specify the number of iterations (which you do not do in grid search).

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