Overview
Random search is often more efficient than grid search. Instead of trying every combination, it samples a fixed number of iterations from the hyperparameter distributions.
Why it Works
In many cases, only a few hyperparameters significantly impact performance. Random search is more likely to explore a wider variety of values for those important parameters than grid search, which might waste time testing many combinations of unimportant ones.
Benefits
- Faster than grid search for the same number of iterations.
- Easier to parallelize.
- Can find good settings in a much larger search space.