by Michele Laurelli
A portion of data held out during training to tune hyperparameters and prevent overfitting.
The validation set is used to evaluate model performance during training and make decisions about hyperparameters, architecture, or early stopping. It's distinct from the test set which is only used for final evaluation.
80% train, 10% validation, 10% test split
Hyperparameter tuning
Early stopping criterion