grid search

Grid search is a method used in machine learning to optimize the parameters of a model. It involves systematically trying out a set of predefined parameter values across a grid, or matrix, to find the combination that results in the best performance. By exhaustively testing all possible combinations, grid search helps identify the most effective settings for the model, ensuring it can make the most accurate predictions. It's like testing different settings on a device to find the perfect configuration for optimal operation.