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an abbreviated format from the "Acceptable date formats" table, provided the day and month elements are in the same order as in dates in the article body; the format expected in the citation style being used (but all-numeric date formats other than yyyy-mm-dd must still be avoided).
Also a measure of length, originally representing a person's outstretched arms. Couple: 2 A set of two of items of a type Century: 100 Primarily denotes one hundred years, but occasionally used, especially in the context of competitive racing, to refer to something consisting of one hundred, as in a 100-mile race. Dozen: 12
Use of italics should conform to Wikipedia:Manual of Style/Text formatting § Italic type. Do not use articles (a, an, or the) as the first word (Economy of the Second Empire, not The economy of the Second Empire), unless it is an inseparable part of a name (The Hague) or of the title of a work (A Clockwork Orange, The Simpsons).
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
Text formatting in citations should follow, consistently within an article, an established citation style or system. Options include either of Wikipedia's own template-based Citation Style 1 and Citation Style 2, and any other well-recognized citation system. Parameters in the citation templates should be accurate.
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The metric system is a decimal system of measurement based on its units for length, the metre and for mass, the kilogram. It exists in several variations, with different choices of base units, though these do not affect its day-to-day use. Since the 1960s, the International System of Units (SI) is the internationally recognised metric system.
In machine learning and data mining, quantification (variously called learning to quantify, or supervised prevalence estimation, or class prior estimation) is the task of using supervised learning in order to train models (quantifiers) that estimate the relative frequencies (also known as prevalence values) of the classes of interest in a sample of unlabelled data items.