Machine Learning October 3, 2024 Grid Search , Machine Learning Comments Off on Grid Search Implementation 2,233 Views
Grid search is a technique used in machine learning to systematically search for the best combination of hyperparameters for a given model. Hyperparameters are settings that are not learned from the data but are set by the user before training the model.
In grid search, you define a grid of possible values for each hyperparameter you want to tune. The grid represents all the possible combinations of hyperparameters. The grid search algorithm then evaluates the performance of the model using cross-validation for each combination of hyperparameters and selects the combination that yields the best performance metric.
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