2023.1:Waterfall Classification (Concept)

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Revision as of 13:46, 9 April 2024 by Dsmith (talk | contribs)

WIP

This article is a work-in-progress or created as a placeholder for testing purposes. This article is subject to change and/or expansion. It may be incomplete, inaccurate, or stop abruptly.

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Waterfall Classification is a classification concept in Grooper that manipulates the Positive Extractor property to prioritize training similarity in order to achieve a middle ground between high specificity and accuracy, and generality with minimal accuracy. This is helpful whenever Documents get misclassified, and simply retraining won't help.

ABOUT

STARTING THE WATERFALL