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Discrete feature: Difference between revisions
Created page with "===Introduction== Machine learning uses features, or characteristics or attributes of input data, as a basis for making predictions or decisions. Discrete features (also referred to as categorical features) are those which take on a limited set of values rather than providing an infinite range of values. ==Definition== Discrete features refer to data elements whose values fall outside a finite or infinite set. Examples of discrete features include gender, hair color, oc..."
(Created page with "===Introduction== Machine learning uses features, or characteristics or attributes of input data, as a basis for making predictions or decisions. Discrete features (also referred to as categorical features) are those which take on a limited set of values rather than providing an infinite range of values. ==Definition== Discrete features refer to data elements whose values fall outside a finite or infinite set. Examples of discrete features include gender, hair color, oc...") |
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