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Home/Glossary/Evaluation Set
AI Glossary Term

What does “Evaluation Set” mean?

Definition

A held-out dataset used to measure model quality after training.

Related terms

Benchmark
A standardized test or dataset used to measure and compare model performance.
Dataset
A collection of structured or unstructured examples used for training, validation, or testing.
Validation Set
A dataset used during development to tune models and prevent overfitting.
Generalization
How well a model performs on new, unseen data outside the training set.
Hyperparameter
A configuration value set before training, such as learning rate, batch size, or depth.
Synthetic Data
Artificially generated data used to augment, simulate, or protect sensitive training data.

Learn more in our free guides

AI Evaluation BasicsLLM EvaluationsLinear Probing and Frozen Feature EvaluationMean Opinion Score Evaluation

See also

EnsembleExplainabilityEncoderFalse NegativeEmbeddingFalse PositiveDomain AdaptationFeature
PreviousEnsembleNextExplainability
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