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Technical GlossaryMachine Learning

Random Search

An optimization approach that searches for effective combinations by randomly sampling the hyperparameter space.

Random Search is a practical method that can be more efficient than Grid Search in high-dimensional hyperparameter spaces. Instead of evaluating all combinations, it searches over randomly sampled candidates. This can be especially effective when only a small subset of parameters strongly drives performance. It is often preferred when time and compute resources are limited.