What are generative attributes? How are they different from standard attributes?

Answer: Generative attributes are additional data points that can be added to the data frames for your predictive models that are contenders for being selected as features. They exist because the way we model data for analytic purposes is often different from how we want our data structured for machine learning. A standard non-generative attribute is something about a person (or job or anything else you're making predictions for) at a point in time, such as their salary. A generative attribute can be a count of events or unique attributes over a specified period of time, a flag if a person meets a set of criteria, or a higher level aggregation such as team. Check out this One AI Generative Attributes help article for more information and guidance on how to build them. 

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