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How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Latest   Machine Learning

How To Use Counterfactual Evaluation To Estimate Online AB Test Results

Last Updated on July 20, 2023 by Editorial Team

Author(s): ___

Originally published on Towards AI.

Definition

In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which set of model enhancements that should be prioritized to be validated using online AB test.

All code to reproduce the figures in this article can be found here.

Imagine you work for an eCommerce site and have been tasked to build an algorithm to recommend the site’s widgets to users on their homepage. The business objective of the recommendations is to increase the site’s revenue. How would you… Read the full blog for free on Medium.

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