2023.1:Waterfall Classification (Concept): Difference between revisions
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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. | 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. | ||
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== ABOUT == | == ABOUT == | ||
Revision as of 13:42, 9 April 2024
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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. This tag will be removed upon draft completion. |
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.
