Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
Qué (quién) es kappa chain - definición
![The Phi Beta Kappa Society National Headquarters located in the historic [[Dupont Circle]] neighborhood of [[Washington, D.C.]]](https://commons.wikimedia.org/wiki/Special:FilePath/Phi Beta Kappa DC.JPG?width=200 "The Phi Beta Kappa Society National Headquarters located in the historic [[Dupont Circle]] neighborhood of [[Washington, D.C.]]")
![Students hold the Key of Phi Beta Kappa at [[Duke University]].](https://commons.wikimedia.org/wiki/Special:FilePath/The Key of Phi Beta Kappa.jpg?width=200 "Students hold the Key of Phi Beta Kappa at [[Duke University]].")
![five-cent coin]] taped to it as what it calls a "financial eye-catcher"](https://commons.wikimedia.org/wiki/Special:FilePath/Chain Letter.jpg?width=200 "five-cent coin]] taped to it as what it calls a \"financial eye-catcher\"")
Wikipedia
Fleiss' kappa (named after Joseph L. Fleiss) is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. This contrasts with other kappas such as Cohen's kappa, which only work when assessing the agreement between not more than two raters or the intra-rater reliability (for one appraiser versus themself). The measure calculates the degree of agreement in classification over that which would be expected by chance.
Fleiss' kappa can be used with binary or nominal-scale. It can also be applied to Ordinal data (ranked data): the MiniTab online documentation [1] gives an example. However, this document notes: "When you have ordinal ratings, such as defect severity ratings on a scale of 1–5, Kendall's coefficients, which account for ordering, are usually more appropriate statistics to determine association than kappa alone." Keep in mind however, that Kendall rank coefficients are only appropriate for rank data.
