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In the context of hyperparameter tuning using Hyperopt, what is the role of the objective function, and how does it relate to the model's performance?
A
The objective function is used to evaluate the performance of the model for a given set of hyperparameters and is not directly related to the model's accuracy.
B
The objective function is a measure of the model's accuracy and is used to guide the hyperparameter search process towards better performing hyperparameter combinations.
C
The objective function is only relevant for single-node models and does not play a role in the hyperparameter tuning of distributed models.
D
The objective function is a fixed value that does not change during the hyperparameter tuning process and does not affect the model's performance.
