PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data
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>.
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| Reverse imports: | biospear,dagHMM,DeepPINCS,E2E,FRASER,GroupBN,ICBioMark,immunaut,mlr3measures,MSiP,OUTRIDER,PatientLevelPrediction,PEAXAI,prcbench,preciseTAD,priorityelasticnet,saseR,SIAMCAT,simtrait,TSLA,usefun |
| Reverse suggests: | BioMoR,PheVis,WeightedROC |
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