Exam Certified Machine Learning Associate topic 1 question 14 discussion

A: The data scientist wants to perform random hyperparameter sampling for tuning the logistic regression model. However, GridSearchCV performs an exhaustive search over all possible combinations of the provided parameter values, not a random selection. To accomplish random sampling of hyperparameters, they should use RandomizedSearchCV, which samples a specified number of random combinations from the defined search space. With RandomizedSearchCV, they can specify a distribution (e.g., uniform) for continuous hyperparameters (like C) and use a list of discrete options for categorical hyperparameters (like penalty), enabling the desired random sampling approach.