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AI & Machine Learning · Foundational

Validation Dataset

Held-out data used during development to tune hyperparameters and select models.

Definition

The validation set provides an unbiased estimate of performance while choices about architecture, hyperparameters and early stopping are being made. Because it influences decisions, it gradually becomes less independent, so a separate test set is used for the final evaluation.

Exam tip

Validation set tunes; test set gives the final, untouched estimate.

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