… the accuracy of all classifiers using Cohen’s Kappa statistic. For those many cost-sensitive
classification … only be roughly estimated, Weighted Cohens’ Kappa and sensitivity analysis are …

… In this paper, Cohen's kappa and weighted kappa are applied to … classification accuracy
when performing classification in data minig. Cohen's kappa compensates for classifications that …

… Notwithstanding, Accuracy is not an effective measure since, … Coefficient (MCC) and Cohen’s
Kappa. The former was … as a reference performance measure, especially for unbalanced …

… of correct classifications (“Class. Acc.” in the table) and the Cohen’s Kappa coefficient are
tested as … The mean classification accuracy using the Kappa coefficient are very similar for all …

… with high true accuracy than ordinal weighted Cohen’s κ and … accuracy is at lower levels
and the classification accuracy is … weighted Cohen’s κ and Scott’s π and quadratic weighted …

… Kappa Cohen coefficient [10,11]. Many combinations and generalizations of Kappa, such as
stratified Kappa [12] and weighted Kappa [… classification accuracy of the model. In this case, …

… of binary classifications have the same accuracy, … Cohen’s Kappa has led to the develop-
151 ment of various extensions, including weighted Kappa coef- 152 ficients for classifications …

… of the weighted kappa proposed in Cohen [27]. The latter … number of subjects that are
classified into category i by the first … These authors investigated the accuracy of clinical diagnosis …

… classification systems because of the small number of Cohen’s κ estimates for each …
Moreover, standard error is a measure of estimation precision and a key element to synthesize …

… the arguments that have been put forward to promote the use of the kappa coefficient in order
to highlight its unsuitability as a measure of classification accuracy, summarised in Table 1. …