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We study ratio overall evaluation criteria (user behavior quality metrics) and, in particular, average values of non-user level metrics, that are widely used in A/B testing as an important part of modern Internet companies» evaluation instruments (e.g., abandonment rate, a user»s absence time after a session).
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Budylin et al. (2018) studied this question.
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