Design a simple drift detection check for a model that predicts house prices. What metrics would you track on incoming prediction requests to know if the model is seeing different data than it was trained on?

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Stay specific. One example, told well, beats three told fast. Make your decisions visible — what you chose between. End on what changed, for whom.

Design a simple drift detection check for a model that predicts house prices. What metrics would you track on incoming prediction requests to know if the model is seeing different data than it was trained on?

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