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Which method is best suited for efficiently conducting hyperparameter search for a computationally expensive model with a small number of trials?
①Grid search (uniform exhaustive search)
②Random search
③Manual sequential search
④Bayesian optimization (using surrogate models and acquisition functions)
⑤Exhaustive search that enumerates all combinations