What Is Ab Testing In Data Science?

In its most basic form, A/B testing is a comparison of two versions to evaluate which performs better based on a certain measure. Typically, two consumer groups are exposed to two alternative versions of the same product to determine whether metrics such as sessions, click-through rate, and/or conversions change significantly.


This Video Should Help:

Ab testing is a process of conducting experiments on the same set of data, but with different groups. This helps to identify which variable has an impact on the outcome of your experiment. Reference: ab testing examples.

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