midScikit-Learn
What is GridSearchCV?
Updated May 17, 2026
Short answer
GridSearchCV finds best hyperparameters using exhaustive search.
Deep explanation
It evaluates all combinations of parameters using cross-validation to find optimal configuration.
Real-world example
Used in tuning SVM for image classification.
Common mistakes
- Using too large parameter grids causing performance issues.
Follow-up questions
- What is RandomizedSearchCV?
- Why use cross-validation inside grid search?