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Most of the classification studies use the Kappa coefficient introduced by Cohen [ 3] to quantify the agreement between raters.
To adjust for this excess agreement expected by chance, we prefer to use the kappa coefficient, which is a popular measure of inter-rater agreement in many other areas of science.
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Here again, we used the Kappa coefficient to measure the level of agreement between them.
Agreement rates on the initial assessments will be reported using the kappa coefficient.
The algorithm performance was compared with the performance of four human experts by using the Kappa coefficient of agreement.
Concordance between both tests was assessed using the Kappa coefficient.
Interobserver agreement was determined using the kappa coefficient.
Test concordance was calculated using the Kappa coefficient statistic.
The agreement between VC and IC responses and clinical response was analyzed using the Kappa coefficient.
Assessment of interrater and intrarater reliability for the hand diagram was done using the kappa coefficient.
The agreement between CMV detection assay was evaluated using the Kappa coefficient.
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