Validation set: Difference between revisions

{{see also|Machine learning terms}}

[[Validation set]] is the [[dataset]] held back during [[model training]] in order to evaluate the model's performance. After training on the [[training set]], the validation set helps assess how well the [[model]] generalizes to newly unseen data. It serves to [[fine-tune]] model [[hyperparameters]] and prevent [[overfitting]].