Binary classification: Difference between revisions

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{{see also|Machine learning terms}}
{{see also|Machine learning terms}}
==Introduction==
==Introduction==
[[Binary classification]] is a type of [[machine learning]] problem where the goal is to classify [[input]] [[data]] into one of two [[classes]] or categories. These classes may be labeled positive (1) and negative (0), or true(1) and false(0) respectively. The classes are mutually exclusive.
[[Binary classification]] is a type of [[machine learning]] problem where the goal is to classify [[input]] [[data]] into one of two [[class]]es or categories. These classes may be labeled positive (1) and negative (0), or true(1) and false(0) respectively. The classes are mutually exclusive.


==What is Binary Classification?==
==What is Binary Classification?==
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[[Category:Terms]] [[Category:Machine learning terms]]
[[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]