Categorical data: Difference between revisions

Categorical data (view source)

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 {{see also|Machine learning terms}}
 ==Introduction==
-In [[machine learning]], categorical data represents qualitative or nominal [[features]] rather than numerical or [[continuous features]]. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as [[classification]], [[clustering]] and [[regression]].
+In [[machine learning]], categorical data represents qualitative or nominal [[feature]]s rather than numerical or [[continuous features]]. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as [[classification]], [[clustering]] and [[regression]].
 Categorical data is sometimes known as [[discrete feature]]s.