Experimental Control
Also called: Controlled Experiment
The practice of keeping variables, conditions, and procedures consistent across experiments so that observed differences in outcomes can be attributed to the factors being tested.
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Related terms
An experimentation method that compares two variants under similar conditions to determine which performs better against predefined metrics.
Experiment TrackingThe process of recording and managing information about AI experiments, including datasets, models, hyperparameters, code versions, metrics, and outcomes to enable reproducibility and comparison.
Evaluation DatasetA curated collection of test examples, inputs, and expected outcomes used to measure the quality, accuracy, safety, and reliability of AI models and systems.
ReproducibilityThe ability to obtain consistent results using the same data, code, model parameters, and experimental setup.