Hyperparameter Tuning: Bayesian vs Grid Search

Medium

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Multiple Choice

Random search, which samples randomly but always requires the same number of evaluations as grid search Bayesian optimization, which uses past evaluations to guide the search toward promising regions Manual tuning, which is always faster than automated methods Reduce the number of hyperparameters to 2, since tuning more is never practical

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