Python Machine Learning Cookbook(Second Edition)
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Choosing an estimator's hyperparameters is a fundamental procedure for setting up a model. Among the available procedures, grid search is one of the most used. This procedure selects the hyperparameter with the maximum score on a validation set or a multiple validation set.