Package: measures 0.3

measures: Performance Measures for Statistical Learning

Provides the biggest amount of statistical measures in the whole R world. Includes measures of regression, (multiclass) classification and multilabel classification. The measures come mainly from the 'mlr' package and were programed by several 'mlr' developers.

Authors:Philipp Probst [aut, cre]

measures_0.3.tar.gz
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measures_0.3.tgz(r-4.4-any)measures_0.3.tgz(r-4.3-any)
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measures_0.3.tgz(r-4.4-emscripten)measures_0.3.tgz(r-4.3-emscripten)
measures.pdf |measures.html
measures/json (API)

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

Peer review:

Bug tracker:https://github.com/philipppro/measures/issues

On CRAN:

4.74 score 1 stars 3 packages 83 scripts 1.5k downloads 1 mentions 57 exports 0 dependencies

Last updated 4 years agofrom:f52743da65. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:ACCARSQAUCBACBERBrierBrierScaledEXPVARF1FDRFNFNRFPFPRGMEANGPRKAPPAKendallTaulistAllMeasuresLoglossLSRMAEMAPEMCCMEDAEMEDSEMMCEMSEMSLEmulticlass.AU1Pmulticlass.AU1Umulticlass.AUNPmulticlass.AUNUmulticlass.BrierMultilabelACCMultilabelF1MultilabelHamlossMultilabelPPVMultilabelSubset01MultilabelTPRNPVPPVQSRRAERMSERMSLERRSERSQSAESpearmanRhoSSESSRTNTNRTPTPRWKAPPA

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
AccuracyACC
Adjusted coefficient of determinationARSQ
Area under the curveAUC
Balanced accuracyBAC
Balanced error rateBER
Brier scoreBrier
Brier scaledBrierScaled
Explained varianceEXPVAR
F1 measureF1
False discovery rateFDR
False negativesFN
False negative rateFNR
False positivesFP
False positive rateFPR
G-meanGMEAN
Geometric mean of precision and recall.GPR
Cohen's kappaKAPPA
Kendall's tauKendallTau
List all measureslistAllMeasures
Logarithmic lossLogloss
Logarithmic Scoring RuleLSR
Mean of absolute errorsMAE
Mean absolute percentage errorMAPE
Matthews correlation coefficientMCC
Median of absolute errorsMEDAE
Median of squared errorsMEDSE
Mean misclassification errorMMCE
Mean of squared errorsMSE
Mean squared logarithmic errorMSLE
Weighted average 1 vs. 1 multiclass AUCmulticlass.AU1P
Average 1 vs. 1 multiclass AUCmulticlass.AU1U
Weighted average 1 vs. rest multiclass AUCmulticlass.AUNP
Average 1 vs. rest multiclass AUCmulticlass.AUNU
Multiclass Brier scoremulticlass.Brier
Accuracy (multilabel)MultilabelACC
F1 measure (multilabel)MultilabelF1
Hamming lossMultilabelHamloss
Positive predictive value (multilabel)MultilabelPPV
Subset-0-1 lossMultilabelSubset01
TPR (multilabel)MultilabelTPR
Negative predictive valueNPV
Positive predictive valuePPV
Quadratic Scoring RuleQSR
Relative absolute errorRAE
Root mean squared errorRMSE
Root mean squared logarithmic errorRMSLE
Root relative squared errorRRSE
Coefficient of determinationRSQ
Sum of absolute errorsSAE
Spearman's rhoSpearmanRho
Sum of squared errorsSSE
Spherical Scoring RuleSSR
True negativesTN
True negative rateTNR
True positivesTP
True positive rateTPR
Mean quadratic weighted kappaWKAPPA