When deploying a machine learning model, what is "model drift"?

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When deploying a machine learning model, what is "model drift"?
A . A sudden increase in the model’s accuracy
B . A change in the distribution of the input data or target variable over time
C . The process of feature extraction
D . A measure of feature importance

Answer: B