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This article discusses the importance of testing machine learning models for accuracy and reliability before deployment. It introduces the concept of Behavior-Driven Development (BDD) as a straightforward approach to testing ML models. BDD is a software development methodology that helps to bridge the gap between technical and non-technical stakeholders by providing a common language and format for expressing project objectives and goals in natural language. The article also provides a link to the source code of the project.
