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At the time the article was created Candace Makeda Moore had no recorded disclosures.View Candace Makeda Moore's current disclosures
At the time the article was last revised Candace Makeda Moore had no recorded disclosures.View Candace Makeda Moore's current disclosures
Concept drift refers to a phenomenon in the practical application of AI in which some underlying statistics or characteristics of one or more variables changes after the deployment of a model such that a specific AI model's predictive accuracy changes. Concept drift is a problem that can be managed by periodically testing and updating the models or in some cases deploying models that take the possibility of concept drift into account.
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