Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.
Documentation: Downloads: Reverse dependencies: Reverse imports: biospear, DeepPINCS, FRASER, GroupBN, HPiP, ICBioMark, immunaut, mlr3measures, MSiP, OUTRIDER, PatientLevelPrediction, prcbench, preciseTAD, priorityelasticnet, saseR, SIAMCAT, simtrait, TSLA, usefun Reverse suggests: PheVis, WeightedROC Linking:Please use the canonical form https://CRAN.R-project.org/package=PRROC to link to this page.
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