multiROC1.1.1 package

Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications

cal_auc

Area under ROC curve

cal_confus

Calculate confusion matrices

multi_pr

Multi-class classification PR

multi_roc

Multi-class classification ROC

plot_pr_data

Generate PR plotting data

plot_roc_data

Generate ROC plotting data

pr_auc_with_ci

Output of PR bootstrap confidence intervals

pr_ci

PR bootstrap confidence intervals

roc_auc_with_ci

Output of ROC bootstrap confidence intervals

roc_ci

ROC bootstrap confidence intervals

Download source packageRead PDF manual

Tools to solve real-world problems with multiple classes classifications by computing the areas under ROC and PR curve via micro-averaging and macro-averaging. The vignettes of this package can be found via <https://github.com/WandeRum/multiROC>. 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>.

  • Maintainer: Runmin Wei
  • License: GPL-3
  • Last published: 2018-06-26