… In this work the performance is measured using the Cohen’s Kappa coefficient which will
be described in Section III. For the feature cardinality (first colony), the heuristic value is …

… the Cohen Kappa coefficient so that it can be used to check the reclassification quality in a
regression model and to compare the results described by the Cohen Kappa coefficient with …

… of these coefficients is equivalent to Cohen’s kappa in (18), regardless of our choice of r. …
coefficients of which the observed agreement and Cohen’s kappa are summary coefficients. …

… The kappa coefficient is a popular descriptive statistical measure for summarising the cross
… On the basis of this definition, I propose that the kappa coefficient can also be used to …

… Cohen’s κ was reported as the measure of inter-rater reliability, or sufficient information was
provided to calculate Cohen’s κ; (3) standard errors of Cohen’… errors; and (4) Cohen’s κ is an …

… Cohen’s κ coefficient has been widely used for assessing classification results derived from
… alternative to prefer the Krippendorff’s α-coefficient over Cohen’s κ. Krippendorff’s α indeed …

… Cohen's kappa and the two smallest of Gini's coefficients are very similar for real data. We
conclude that these three coefficients … Cohen's kappa to three other agreement coefficients that …

… kappa coefficients with their corresponding standard errors as well as bias-correcting jackknife
estimates of kappa … of chance agreement is called Cohen’s kappa coefficient [9, lo]. Other …

… critics of Cohen’s kappa, we argue that Cohen’s kappa (… ’s kappa is also compared to two
other kappa-type statistics (Scott’s, 1955, π; Aickin’s, 1990, α). Unlike Scott’s π, Cohen’s kappa …

BACKGROUND AND OBJECTIVE: The dependence of Cohen's κ on the prevalence has
been a major concern in the literature. Indeed, it indicates a serious limitation with respect to …