An implementation of evaluation metrics in R that are commonly used in supervised machine learning. It implements metrics for regression, time series, binary classification, classification, and information retrieval problems. It has zero dependencies and a consistent, simple interface for all functions.
Documentation: Downloads: Reverse dependencies: Reverse depends: Greymodels, manymodelr, NumericEnsembles Reverse imports: adsoRptionCMF, ai, ARGOS, audrex, ConsReg, coursekata, dblr, epicasting, gbm.auto, hybridts, ImFoR, iml, janus, kssa, lilikoi, mlr3shiny, nda, phytoclass, poolHelper, populR, predtoolsTS, previsionio, PUPAK, PUPMSI, PWEV, RSCAT, SAMprior, scoringutils, sense, sjSDM, superml, UEI, WaveletANN, WaveletETS, WaveletGBM, WaveletKNN Reverse suggests: cv, luz, PatientLevelPrediction, s2net, tfdatasets Linking:Please use the canonical form https://CRAN.R-project.org/package=Metrics to link to this page.
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