What is switchback testing for decision models?

What Is Switchback Testing for Decision Models?

A/B testing for decision models

Switchback testing for decision models allows algorithm teams to compare a candidate model to a baseline model in a true production environment, where both models are making real-world decisions for the operation. With this form of testing, teams can randomize which model is applied to units of time and/or location in order to mitigate confounding effects (like holidays, major events, etc.) that can impact results when doing a …

a-b-testing a/b testing algorithm b testing data science decision decisions environment experimentation form making operations-research optimization production teams testing true world