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Validation Set

A validation set in machine learning is a subset of a dataset used to provide an unbiased evaluation of a model fit during the training phase. It is distinct from the training set and the test set.

Role of the Validation Set

The validation set is used for hyperparameter tuning and to prevent overfitting. By evaluating a model's performance on the validation set, practitioners can make informed decisions about model adjustments before the final evaluation on the test set.

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