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>.
copied from cf-staging / r-multirocLabel | Latest Version |
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main | 1.1.1 |
cf201901 | 1.1.1 |
cf202003 | 1.1.1 |
gcc7 | 1.1.1 |