grid-search

Grid search involves defining a range of values for each hyperparameter and systematically evaluating model performance across all possible combinations. This technique can help find the best parameters that yield the highest model performance. While grid search is thorough, it can be computationally expensive and time-consuming, especially with many hyperparameters and large datasets.