Discretization of continuous features
id:
discretization-of-continuous-features-265-6988331
title:
Discretization of continuous features
text:
In statistics and machine learning, discretization refers to the process of converting or partitioning continuous attributes, features or variables to discretized or nominal attributes/features/variables/intervals. This can be useful when creating probability mass functions – formally, in density estimation. It is a form of discretization in general and also of binning, as in making a histogram. Whenever continuous data is discretized, there is always some amount of discretization error. The goa
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Discretization_of_continuous_features
date created:
date modified:
2024-01-17T19:07:48Z
main entity:
{"identifier":"Q665193","url":"https://www.wikidata.org/entity/Q665193"}
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13
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