… n × n table is a weighted average of the individual … “average” value is much broader than
a weighted average of 2×2 kappas. It turns out that the overall κ -value is a weighted average of …

… the weighted averaging function and study some of its properties. As an application of this
function it is shown that Cohen’s kappa is an average of Bloch-Kraemer weighted kappas. A …

… ‘weighted average’ property of Cohen’s unweighted kappa for nominal categories to Cohen’s
linearly weighted kappa for … kappa-value of the original table is a weighted average of the …

… an interpretation for the weighted kappa coefficient with linear … the components of the weighted
kappa with linear weights … weighted kappa may be interpreted as a weighted average of …

… 3 we show that weighted kappa with additive weights is a weighted average of the \(n-1\) …
4 we show that this weighted kappa is the only weighted kappa that is a weighted average of …

… using Cohen’s Kappa statistic. For those many cost-sensitive classification applications,
where the true error-cost can only be roughly estimated, Weighted Cohens’ Kappa and …

… weighted kappa in terms of rater means, rater variances, and the rater covariance that is
particularly helpful in emphasizing that weighted kappa … the value of weighted kappa relative to …

… Similarly to Cohen’s kappa coefficient, the linear-weighted kappa coefficient is a weighted
average of individual kappa coefficients obtained on \(2 \times 2\) tables constructed by …

… Again, the weight w i is equal to the reciprocal of variance of κ i . This homogeneity test
implies that κ estimates with larger variances are weighted less in the calculation of Q. Under the …

… We propose a Kappa-based weighted measure (K,,) of agreement on some specific category
s, with K, being a weighted average of all K,$. Therefore, while Cohen's K, is a summary …