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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]
Such words are equivalent to jargon, which should be explained somehow. In the English-language Wikipedia, the English form does not always have to come first: sometimes the non-English word is better as the main text, with the English in parentheses or set off by commas after it, and sometimes not. For example, see Perestroika
A precising definition is intended to make a vague word more precise so that the word's meaning is not left to the interpretation of the reader or listener. Here is an example: From a class syllabus: "Class participation" means attending class, listening attentively, answering and asking questions, and participating in class discussions.
Signals that a news organization engages in fact-checking and has a reputation for accuracy are the publication of corrections and disclosures of conflicts of interest. Human interest reporting is generally not as reliable as news reporting, and may not be subject to the same rigorous standards of fact-checking and accuracy (see Junk food news ...
The precision of a measurement system, related to reproducibility and repeatability, is the degree to which repeated measurements under unchanged conditions show the same results.[1][2] Although the two words precision and accuracy can be synonymous in colloquial use, they are deliberately contrasted in the context of the scientific method.
Some words, by their structure, can suggest extended forms that may turn out to be contentious (e.g. lesbian and transgender imply the longer words lesbianism and transgenderism, which are sometimes taken as offensive for seeming to imply a belief system or agenda). For additional guidance on -ist/-ism terms, see § Contentious labels, above.