Confidence
In Genesys Content Analyzer, a numerical score, from 1 to 100, that indicates the likelihood, according to a particular model, that a text object belongs in a certain category. By contrast, accuracy is an assessment, produced by testing, of the correctness of a model’s assignment of text objects to categories. In other words, confidence expresses a model’s guess about a categorization; accuracy rates the correctness of that guess.
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This page was last edited on July 30, 2020, at 16:22.
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