Definition
A hyperparameter optimization technique that systematically works through multiple combinations of parameter settings.
Detailed Explanation
Grid search works by evaluating the cartesian product of a set of predefined parameter values. It tests every possible combination of the specified parameter values, making it thorough but computationally expensive, especially with many parameters or large parameter ranges.
Use Cases
Hyperparameter tuning, Model selection, Parameter optimization