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Precision is about variability while (in contrast to precision), accuracy is about bias.

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.

Precision of an estimator is the degree of variability (scatter) of the estimates around their mean. Precision of a forecast rule is the degree of variability of the forecasts. High precision means low variability around the mean. Precision can be contrasted to accuracy; precision is about variability while accuracy is about bias.

Precision is about variability while (in contrast to precision), accuracy is about bias.

Precision of an estimator is the degree of variability (scatter) of the estimates around their mean. Precision of a forecast rule is the degree of variability of the forecasts. High precision means low variability around the mean. Precision can be contrasted to accuracy; precision is about variability while accuracy is about bias.