= Random search
{wiki=Random_search}
Random search is a simple optimization technique often used in hyperparameter tuning and other types of search problems. Instead of systematically exploring the parameter space (as in grid search), random search samples parameters randomly from a designated space. Here's a breakdown of its key features and advantages: \#\#\# Key Features 1. **Sampling**: In random search, you define a range or distribution for each parameter and sample values randomly from these distributions to evaluate the performance of a model.
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