Beginner · Evaluation
A/B testing
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A statistical method comparing two versions (A and B) of something to see which performs better.
Technical Definition
A statistical method comparing two versions (A and B) of something to see which performs better.
How it works
A/B testing is a controlled experiment method used to compare two versions of a variable, like a webpage or a model's algorithm, to determine which one performs better. Typically, one version (A) is existing, and the other (B) is modified. The test measures the impact on a key metric and uses statistical analysis to confirm if the observed difference is significant, helping data-driven decision-making.
Related Concepts
- Evaluation — The process of measuring a model's quality or comparing different models.