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Evaluation Set
AI Glossary Term
What is Evaluation Set?
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 Basics
LLM Evaluations
Linear Probing and Frozen Feature Evaluation
Mean Opinion Score Evaluation
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