Precision

“measure of how large a proportion of your hits actually consist of the thing you were looking for” (Lindquist 2009: 44)

"Precision in corpus searches is a measure for how much of our search output actually exemplifies what we are looking for. Recall, by contrast, refers to the proportion of relevant material in a corpus that our search extracts. An ideal search has 100 per cent precision (i.e. nothing from the search output needs to be discarded as irrelevant) and 100 per cent recall (all relevant instances from the corpus are captured). In the real world increasing the precision usually means lowering the recall, and the other way round." (Mair, Chapter 9)

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