Synopsis
Excerpt from Variance Approximations for Assessments of Classification Accuracy<br/><br/>The kappa statistic, which is computed from a square contingency table, is a scalar measure of agreement be tween two classifiers. If one classifier is considered a reference that is without error, then the kappa statistic is a measure of classification accuracy. Kappa equals 1 for perfect agreement, and zero for agreement expected by chance alone. Figure 1 provides interpretations of the magnitude of the kappa statistic that have appeared in the literature. In addition to kappa, Fleiss (1981) sug gests that conditional probabilities are useful when as sessing the agreement between two different classifi ers, and Bishop et al. (1975) suggest statistics that quantify the disagreement between classifiers.
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