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Data Drift

Data drift is the change in model input data that causes a decline in model performance.

Data drift is the change in model input data that causes a decline in model performance. It is an unanticipated and undocumented alteration to data structure, semantics, and infrastructure brought on by today's data architectures.

Techniques to measure data drift:

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Internet Information Service Algorithm Recommendation Management Regulations
Generative AI Measures in China
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Artificial Intelligence and Algorithmic Fairness Initiative
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Data Drift
Model Drift