VISROC 2.0: Updated Software for the Visualization of the significance of Receiver Operating Characteristics based on confidence ellipses

Stavros-Richard G. Christopoulos, George I. Tsagiannis, Konstantina A. Papadopoulou, Nicholas V. Sarlis

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
37 Downloads (Pure)

Abstract

The Receiver Operating Characteristics (ROC) method is used to evaluate the diagnostic accuracy of binary quantitative tests in a broad spectrum of disciplines, including medicine, physics of complex systems, geophysics, meteorology, etc. The estimation of the significance of the examined prediction method is of high importance and it's usually approximated by Monte Carlo calculations. To simplify this problem, a code called VISROC was submitted to the CPC Program Library in 2014. VISROC evaluates the significance of binary diagnostic and prognostic tools for a family of k-ellipses which are based on confidence ellipses and cover the whole ROC space. Since that time, the code has been significantly improved and several new capabilities have been added. Most importantly, a Graphical User Interface (GUI) has been implemented, which can be invoked using either the R shiny web application or the application available for Windows, Mac, and Linux operating systems, both of which are described here.
Original languageEnglish
Article number108492
Number of pages2
JournalComputer Physics Communications
Volume280
Early online date13 Aug 2022
DOIs
Publication statusPublished - Nov 2022

Bibliographical note

© 2022 The Author(s). Published by Elsevier B.V.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited..

Keywords

  • Receiver Operating Characteristics (ROC)
  • complex systems
  • systems obeying power laws
  • p-value

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