The objective function in Hyperopt is only used to initialize the search and does not impact the tuning process.

The design of the objective function directly influences the hyperparameter tuning process, as it defines the criteria for evaluating each trial's performance. For a classification task prioritizing accuracy and recall, the objective function should combine these metrics into a single score to guide the search.

The objective function should only focus on accuracy to ensure the best performance.

The objective function is not necessary when using Hyperopt for hyperparameter tuning.