Intro to Business Analytics
Grid search is a hyperparameter tuning technique used in machine learning to systematically work through multiple combinations of parameter options, optimizing a model's performance. This method allows for the evaluation of different hyperparameter settings by creating a grid of possible values and testing each combination to find the best model configuration. The effectiveness of grid search directly influences model evaluation metrics, helping to ensure that classification models achieve their highest potential accuracy and reliability.
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