QuestionQ3

VerifiedEvaluation, Testing & Optimization

You are adding human review to a high-volume classification pipeline in which reviewing every output is impractical.

Which sampling strategy best balances throughput and quality oversight?

Explanation

Risk-stratified sampling directs human review toward outputs with the greatest likelihood or cost of error—low-confidence and high-impact cases—while random sampling of routine high-confidence outputs provides an ongoing check for hidden quality issues. This preserves scalable throughput without abandoning oversight.

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