📚 node [[a b_testing]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/A-B_Testing.md by @KGBicheno
A-B testing
Go back to the [[AI Glossary]]
A statistical way of comparing two (or more) techniques, typically an incumbent against a new rival. A/B testing aims to determine not only which technique performs better but also to understand whether the difference is statistically significant. A/B testing usually considers only two techniques using one measurement, but it can be applied to any finite number of techniques and measures.
📖 stoas
- public document at doc.anagora.org/a-b_testing
- video call at meet.jit.si/a-b_testing
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