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Misclassification error
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2380.2.01
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Full Desc
“Misclassification error” refers to any discrepancy, deviation, or incorrect assignment in which a system, model, classifier, decision engine, or the like assigns an input to a label, category, or outcome that differs from an intended, expected, or reference label. Misclassification error may be expressed as a count, percentage, rate, loss contribution, penalty value, performance metric, or the like, and may apply to individual samples, subsets of samples, or entire datasets. In some embodiments, misclassification error is used to guide or evaluate training, optimization, quality control, or operation of artificial-intelligence systems, rule-based systems, decision pipelines, or the like.
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