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- Contrast_set_learning abstract "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 (labeled by degree type), a contrast set learner would identify the contrasting features between students seeking bachelor's degrees and those working toward PhD degrees.".
- Contrast_set_learning wikiPageID "34055690".
- Contrast_set_learning wikiPageRevisionID "599796348".
- Contrast_set_learning hasPhotoCollection Contrast_set_learning.
- Contrast_set_learning subject Category:Data_management.
- Contrast_set_learning subject Category:Data_mining.
- Contrast_set_learning comment "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 (labeled by degree type), a contrast set learner would identify the contrasting features between students seeking bachelor's degrees and those working toward PhD degrees.".
- Contrast_set_learning label "Contrast set learning".
- Contrast_set_learning sameAs m.0hr5ttj.
- Contrast_set_learning sameAs Q5165762.
- Contrast_set_learning sameAs Q5165762.
- Contrast_set_learning wasDerivedFrom Contrast_set_learning?oldid=599796348.
- Contrast_set_learning isPrimaryTopicOf Contrast_set_learning.