A/B testing is a way of performing a controlled experiment on users of your system. Typically, we have two systems--the original version of the system (the control system) and the new improved version (the treatment system).
A/B test is a way of performing controlled experiments on online users of the system. In these experiments, we have two systems--the original version (the control) and the new version (the treatment). To test whether the new version is better than the original one, we split the users of the system into two groups (control and treatment) and each group gets the output of its respective system. While the users interact with the system, we capture the KPI of our interest, and when the experiment is finished, ...
