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Classification

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!!! Overview
[{$pagename}] (or [Taxonomy]) is the problem of [Identification] of an [Entity] to determine a set of categories (sub-populations) a new observation belongs.
[{$pagename}] in the simplest form is a [binary] [{$pagename}] as in "CAT" or "NOT a CAT".
!! [{$pagename}] [Machine Learning]
[{$pagename}] in [Machine Learning] and statistics is an instance of [Supervised Learning] for the problem of [Identification] of an [Entity] to determine a set of [{$pagename}] (sub-populations) a new observation belongs, on the basis of a [training dataset] of data containing observations (or instances) whose [{$pagename}] membership is known.
[{$pagename}] is an [example] of [Pattern-recognition].
!! [Data] [Classification]
[Data Classification] may be more specific.
An [algorithm] that implements [{$pagename}], especially in a concrete implementation, is known as a [classifier].
!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
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* [#1] - [Statistical_classification|Wikipedia:Statistical_classification|target='_blank'] - based on information obtained 2017-11-24-