Stratified Sampling
Sampling more rare cases helps estimate their performance, but an overall population rate still needs the population weights. A worked example separates those two goals.
Sampling more rare cases helps estimate their performance, but an overall population rate still needs the population weights. A worked example separates those two goals.
A negative control removes the signal a pipeline is supposed to detect. Its expected score depends on the task, and its construction determines which defects it can expose.
Related items contribute less independent information than their row count suggests. The design effect connects cluster size and correlation to variance and effective sample size.