arXiv Open Access 2020

Computing Information Agreement

Alberto Casagrande Francesco Fabris Rossano Girometti
Lihat Sumber

Abstrak

Agreement measures are useful to both compare different evaluations of the same diagnostic outcomes and validate new rating systems or devices. Information Agreement (IA) is an information-theoretic-based agreement measure introduced to overcome all the limitations and alleged pitfalls of Cohen's Kappa. However, it is only able to deal with agreement matrices whose values are positive natural numbers. This work extends IA admitting also 0 as a possible value for the agreement matrix cells.

Topik & Kata Kunci

Penulis (3)

A

Alberto Casagrande

F

Francesco Fabris

R

Rossano Girometti

Format Sitasi

Casagrande, A., Fabris, F., Girometti, R. (2020). Computing Information Agreement. https://arxiv.org/abs/2008.11701

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓