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Dell Precision is a series of computer workstations for computer-aided design/architecture/computer graphics professionals, or as small-scale business servers [citation needed]. They are available in both desktop (tower) and mobile (laptop) form.
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.
OptiPlex (a portmanteau of "optimal" and "-plex") is a line of business-oriented desktop and all-in-one computers made for corporate enterprises, healthcare, the government, and education markets. Initially released in 1993 by Dell , these computers typically contain Intel CPUs , beginning with Celeron and Pentium and currently [update] with ...
Laboratory quality control is designed to detect, reduce, and correct deficiencies in a laboratory's internal analytical process prior to the release of patient results, in order to improve the quality of the results reported by the laboratory.
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).
Here, the differences between lab-grown and natural diamonds—plus, how to tell which option is the best for you to buy.
Because of the complex inter-relationship between analytical method, sample concentration, limits of detection and method precision, the management of Analytical Quality Control is undertaken using a statistical approach to determine whether the results obtained lie within an acceptable statistical envelope.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.