Contrast set learning
id:
contrast-set-learning-320-14069873
title:
Contrast set learning
text:
Contrast set learning is a form of association rule learning that seeks to identify meaningful differences between separate groups by reverse-engineering the key predictors that identify for each particular group. For example, given a set of attributes for a pool of students, a contrast set learner would identify the contrasting features between students seeking bachelor's degrees and those working toward PhD degrees.
brand slug:
wiki
category slug:
encyclopedia
description:
Form of association rule learning
original url:
https://en.wikipedia.org/wiki/Contrast_set_learning
date created:
date modified:
2024-01-25T21:00:04Z
main entity:
{"identifier":"Q5165762","url":"https://www.wikidata.org/entity/Q5165762"}
image:
fields total:
13
integrity:
14