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Related Questions
- What are the main assumptions of grid search and how can they lead to suboptimal results?
- How does grid search handle hyperparameter correlations, and what are the implications for model performance?
- Can you explain the curse of dimensionality in grid search and how it affects model complexity?
- What are some common methods for reducing the search space in grid search, such as pruning or hierarchical search?
- How does grid search handle class imbalance and what techniques can be used to mitigate it?
- What are some strategies for preventing overfitting in grid search, such as cross-validation or regularization?
- Can you discuss the trade-off between the number of hyperparameters to tune and the computational resources required for grid search?
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