2023.1:Waterfall Classification (Concept)

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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

Normally with classification, one can train a Document, set up a Positive Extractor for maximum accuracy, classify, get good results, and call it done. But what happens when high accuracy and specificity do more harm than good?