Package: MLmetrics 1.1.3

MLmetrics: Machine Learning Evaluation Metrics

A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.

Authors:Yachen Yan [aut, cre]

MLmetrics_1.1.3.tar.gz
MLmetrics_1.1.3.zip(r-4.5)MLmetrics_1.1.3.zip(r-4.4)MLmetrics_1.1.3.zip(r-4.3)
MLmetrics_1.1.3.tgz(r-4.4-any)MLmetrics_1.1.3.tgz(r-4.3-any)
MLmetrics_1.1.3.tar.gz(r-4.5-noble)MLmetrics_1.1.3.tar.gz(r-4.4-noble)
MLmetrics_1.1.3.tgz(r-4.4-emscripten)MLmetrics_1.1.3.tgz(r-4.3-emscripten)
MLmetrics.pdf |MLmetrics.html
MLmetrics/json (API)

# Install 'MLmetrics' in R:
install.packages('MLmetrics', repos = c('https://yanyachen.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yanyachen/mlmetrics/issues

On CRAN:

10.93 score 69 stars 19 packages 2.2k scripts 9.6k downloads 11 mentions 32 exports 6 dependencies

Last updated 9 months agofrom:91eb670427. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-winNOTEJan 09 2025
R-4.5-linuxNOTEJan 09 2025
R-4.4-winNOTEJan 09 2025
R-4.4-macNOTEJan 09 2025
R-4.3-winNOTEJan 09 2025
R-4.3-macNOTEJan 09 2025

Exports:AccuracyArea_Under_CurveAUCConfusionDFConfusionMatrixF1_ScoreFBeta_ScoreGainAUCGiniKS_StatLiftAUCLogLossMAEMAPEMedianAEMedianAPEMSEMultiLogLossNormalizedGiniPoisson_LogLossPRAUCPrecisionR2_ScoreRAERecallRMSERMSLERMSPERRSESensitivitySpecificityZeroOneLoss

Dependencies:bitopscaToolsgplotsgtoolsKernSmoothROCR