Explain how you would validate the accuracy of a machine learning model in a scenario where ground truth is not readily available.

Instruction: Describe the techniques and methodologies you would use to estimate model performance.

Context: This question assesses the candidate's ability to evaluate machine learning models in challenging scenarios where direct validation is difficult.

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I would not pretend there is a clean answer if the labels do not exist yet. In that situation, I would build a validation strategy from multiple weaker signals rather than rely on one shaky proxy and overstate confidence.

That usually means combining delayed outcome...

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