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AI & Machine Learning · Intermediate

Data Drift

A change in the statistical distribution of input data in production compared with training data.

Definition

Data (covariate) drift can degrade accuracy even if the underlying relationship is unchanged. It is detected with statistical tests such as KS, PSI or KL divergence on feature distributions.

Example

A model trained on summer purchase data receiving winter holiday traffic.

Exam tip

Data drift = inputs changed; concept drift = the input-to-target relationship changed.

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