Background

Validation Set

A portion of data set aside to evaluate and fine-tune machine learning models during development, separate from both training and test data. It's like a practice exam - you use it to check how well your model is learning and adjust its settings, but you don't use it for the final grade. This helps prevent overfitting and ensures your model will work well on new, unseen data.