Avoiding Model Drift: 4 Quick Tips
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ML model drift is the phenomenon whereby a machine learning model's performance on a given task deteriorates over time. This can happen for a variety of reasons, including changes in the underlying data distribution, changes in the model's environment, or even changes in the way the model is used..