Validation set Machine Learning
noun phrase
Definition: A held-out subset of data used during model development to evaluate candidate models and tune hyperparameters, while model fitting is performed on the training set [Google ML Glossary].
Example in context: “For all methods, we hold out 20% of the training data as a validation set to select hyperparameters.” [Li et al. 2020]
Synonym: development set; dev set
Related terms: training set; test set; holdout set; cross-validation; early stopping