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Related Questions
- How does the dimensionality of the hyperparameter space impact the computational cost of grid search compared to random search?
- Can you explain why grid search becomes impractical for high-dimensional hyperparameter spaces?
- In what scenarios would random search be preferred over grid search due to the dimensionality of the hyperparameter space?
- How does the number of hyperparameters and their ranges affect the choice between grid search and random search?
- What are the implications of high dimensionality on the optimization of hyperparameters using grid search and random search?
- Can you provide examples of when grid search might be more suitable for low-dimensional hyperparameter spaces and random search for high-dimensional spaces?
- How does the trade-off between exploration and exploitation change with the dimensionality of the hyperparameter space in the context of grid search and random search?
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