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IN the dart-board example, I imagine that the “truth” is meant to be represented by the centre of the dart board (ie: this is the measure of “accuracy”) WHEREAS the precision is the tightness of clustering. BUT, how on Earth can one justify one's measurement of a “true value” if there is low clustering WITHOUT using averages/statistics?
Articles about sports that measure the accuracy and precision in various activities of their participants. Subcategories. ... Darts (11 C, 11 P) G. Golf (34 C, 7 P) I.
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]
Precision takes all retrieved documents into account. It can also be evaluated considering only the topmost results returned by the system using Precision@k. Note that the meaning and usage of "precision" in the field of information retrieval differs from the definition of accuracy and precision within other branches of science and statistics.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
Inventing Accuracy: A Historical Sociology of Nuclear Missile Guidance. Cambridge, Massachusetts: MIT Press. ISBN 978-0-262-13258-9. Spall, James C.; Maryak, John L. (1992). "A Feasible Bayesian Estimator of Quantiles for Projectile Accuracy from Non-iid Data". Journal of the American Statistical Association. 87 (419): 676– 681.