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Contrast set learning

Код 3311025

  • ISBN: 978-5-5147-4083-3

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High Quality Content by WIKIPEDIA articles! 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.

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ISBN: 978-5-5147-4083-3

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Экономика Менеджмент (управление)

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