elise-is/multiROC: Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications

Tools to solve real-world problems with multiple classes by computing the areas under ROC curve via micro-averaging and macro-averaging. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("elise-is/multiROC")
elise-is/multiROC documentation built on Nov. 24, 2020, 1:40 a.m.