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A data scientist is using the following code block to tune hyperparameters for a machine learning model: Which change can they make the above code block to improve the likelihood of a more accurate model?
Correct Answer: A
To improve the likelihood of a more accurate model, the data scientist can increase num_evals to 100. Increasing the number of evaluations allows the hyperparameter tuning process to explore a larger search space and evaluate more combinations of hyperparameters, which increases the chance of finding a more optimal set of hyperparameters for the model. Reference: Databricks documentation on hyperparameter tuning: Hyperparameter Tuning
