A/B Testing
Also called: AB Testing, Split Testing
An experimentation method that compares two variants under similar conditions to determine which performs better against predefined metrics.
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Related terms
An experimentation method that tests multiple variables and their combinations simultaneously to measure their effects on an AI system or product.
Canary TestingA testing approach that exposes changes to a small subset of users or traffic to validate behavior before a full rollout.
Experimental ControlThe practice of keeping variables, conditions, and procedures consistent across experiments so that observed differences in outcomes can be attributed to the factors being tested.
Statistical SignificanceA mathematical determination that an observed experimental result is likely caused by a specific factor rather than random chance.
Confidence IntervalCIA statistical range that estimates where a true value is likely to lie with a specified level of confidence based on sampled data.