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Precision is about variability while accuracy (in contrast to precision) is about bias. This tag pertains to measurement or estimation; use [precision-recall] when talking about classifiers.

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How to decrease data precision correctly?

Therefore it would be wise to compare our search results to what a truly random set of high-precision values would produce. … This suggests we could retain essentially all the precision in the data by representing them as fractions with a denominator of $342000$. …
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2 votes
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Calculate precision with constant sample size

This is a table for a sample of either $n=500$ or $501$ subjects, not $100.$ Perhaps the best confidence interval method for binomial data of this kind (where each observation is independent of the …
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5 votes

How many significant figures should I report for a regression equation?

Moral: Use more precision in reporting statistics associated with large datasets. … Logarithms and other "strong" non-linear transformations can change the precision in varying ways. …
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