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Binomial nomenclature, as described here, is a system for naming species. Implicitly, it includes a system for naming genera, since the first part of the name of the species is a genus name. In a classification system based on ranks, there are also ways of naming ranks above the level of genus and below the level of species.
Carl Linnaeus [a] (23 May 1707 [note 1] – 10 January 1778), also known after ennoblement in 1761 as Carl von Linné, [3] [b] was a Swedish biologist and physician who formalised binomial nomenclature, the modern system of naming organisms.
Binary classification is the task of classifying the elements of a set into one of two groups (each called class). Typical binary classification problems include: Medical testing to determine if a patient has a certain disease or not; Quality control in industry, deciding whether a specification has been met;
In this same edition, he introduced two-part names (see binomen) for animal species, something that he had done for plant species (see binary name) in the 1753 publication of Species Plantarum. The system eventually developed into modern Linnaean taxonomy, a hierarchically organized biological classification.
The modern binary number system, the basis for binary code, is an invention by Gottfried Leibniz in 1689 and appears in his article Explication de l'Arithmétique Binaire (English: Explanation of the Binary Arithmetic) which uses only the characters 1 and 0, and some remarks on its usefulness. Leibniz's system uses 0 and 1, like the modern ...
In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). For example, deciding on whether an image is showing a banana, an orange, or an ...
A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. [1] It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector.
Binary is also easily converted to the octal numeral system, since octal uses a radix of 8, which is a power of two (namely, 2 3, so it takes exactly three binary digits to represent an octal digit). The correspondence between octal and binary numerals is the same as for the first eight digits of hexadecimal in the table above.