
Confidence Intervals Mislead: Clustered Data Shrinks Effective Sample Size
Standard evaluation metrics assume independent data, but real-world datasets often have clusters, leading to overly narrow confidence intervals and false positives.

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Standard evaluation metrics assume independent data, but real-world datasets often have clusters, leading to overly narrow confidence intervals and false positives.

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Transferring dynamic MongoDB data to structured PostgreSQL tables requires careful schema design and mapping.