Package: SLmetrics 0.3-3

Serkan Korkmaz

SLmetrics: Machine Learning Performance Evaluation on Steroids

Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.

Authors:Serkan Korkmaz [cre, aut, cph]

SLmetrics_0.3-3.tar.gz
SLmetrics_0.3-3.tar.gz(r-4.5-noble)SLmetrics_0.3-3.tar.gz(r-4.4-noble)
SLmetrics_0.3-3.tgz(r-4.4-emscripten)SLmetrics_0.3-3.tgz(r-4.3-emscripten)
SLmetrics.pdf |SLmetrics.html✨
SLmetrics/json (API)
NEWS

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

Bug tracker:https://github.com/serkor1/slmetrics/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

cppopenmp

3.18 score 102 exports 3 dependencies

Last updated 1 days agofrom:babe980827. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-linux-x86_64OKMar 18 2025
R-4.4-linux-x86_64OKMar 18 2025

Exports:accuracyaucbaccuracycccckappacmatrixcross.entropycsidorentropyfalloutfbetafdrferfmifprhuberlossjaccardloglossmaemapemccmpemsenlrnpvopenmp.offopenmp.onopenmp.threadsphipinballplrppvpr.aucprecisionpreorderpresortprROCraerecallrelative.entropyrmsermsleROCroc.aucrrmserrsersqselectivitysensitivitysmapespecificitytnrtprtscoreweighted.accuracyweighted.baccuracyweighted.cccweighted.ckappaweighted.cmatrixweighted.csiweighted.dorweighted.falloutweighted.fbetaweighted.fdrweighted.ferweighted.fprweighted.huberlossweighted.jaccardweighted.loglossweighted.maeweighted.mapeweighted.mccweighted.mpeweighted.mseweighted.nlrweighted.npvweighted.phiweighted.pinballweighted.plrweighted.ppvweighted.pr.aucweighted.precisionweighted.prROCweighted.raeweighted.recallweighted.rmseweighted.rmsleweighted.ROCweighted.roc.aucweighted.rrmseweighted.rrseweighted.rsqweighted.selectivityweighted.sensitivityweighted.smapeweighted.specificityweighted.tnrweighted.tprweighted.tscoreweighted.zeroonelosszerooneloss

Dependencies:latticeRcppRcppEigen

Classification Metrics

Rendered fromvignette_classification.Rmdusingknitr::rmarkdownon Mar 18 2025.

Last update: 2025-03-18
Started: 2025-03-18

Regression Metrics

Rendered fromvignette_regression.Rmdusingknitr::rmarkdownon Mar 18 2025.

Last update: 2025-03-18
Started: 2025-03-18

Precision-Recall and Receiver Operator Characteristics Curves

Rendered fromvignette_ROC-PRC.Rmdusingknitr::rmarkdownon Mar 18 2025.

Last update: 2025-03-18
Started: 2025-03-18

Readme and manuals

Help Manual

Help pageTopics
Accuracyaccuracy accuracy.cmatrix accuracy.factor weighted.accuracy weighted.accuracy.factor
AUCauc auc.numeric
Balanced Accuracybaccuracy baccuracy.cmatrix baccuracy.factor weighted.baccuracy weighted.baccuracy.factor
Banknote Authentication Datasetbanknote
Concordance Correlation Coefficientccc ccc.numeric weighted.ccc weighted.ccc.numeric
Cohen's kappa-statisticckappa ckappa.cmatrix ckappa.factor weighted.ckappa weighted.ckappa.factor
Confusion Matrixcmatrix cmatrix.factor weighted.cmatrix weighted.cmatrix.factor
Diagnostic Odds Ratiodor dor.cmatrix dor.factor weighted.dor weighted.dor.factor
Entropycross.entropy cross.entropy.matrix entropy entropy.matrix relative.entropy relative.entropy.matrix
F_{beta}-scorefbeta fbeta.cmatrix fbeta.factor weighted.fbeta weighted.fbeta.factor
false discovery ratefdr fdr.cmatrix fdr.factor weighted.fdr weighted.fdr.factor
False Omission Ratefer fer.cmatrix fer.factor weighted.fer weighted.fer.factor
Fowlkes-Mallows Indexfmi fmi.cmatrix fmi.factor
False Positive Ratefallout fallout.cmatrix fallout.factor fpr fpr.cmatrix fpr.factor weighted.fallout weighted.fallout.factor weighted.fpr weighted.fpr.factor
Huber Losshuberloss huberloss.numeric weighted.huberloss weighted.huberloss.numeric
Jaccard Indexcsi csi.cmatrix csi.factor jaccard jaccard.cmatrix jaccard.factor tscore tscore.cmatrix tscore.factor weighted.csi weighted.csi.factor weighted.jaccard weighted.jaccard.factor weighted.tscore weighted.tscore.factor
Log Losslogloss logloss.factor logloss.integer weighted.logloss weighted.logloss.factor weighted.logloss.integer
Mean Absolute Errormae mae.numeric weighted.mae weighted.mae.numeric
Mean Absolute Percentage Errormape mape.numeric weighted.mape weighted.mape.numeric
Matthews Correlation Coefficientmcc mcc.cmatrix mcc.factor phi phi.cmatrix phi.factor weighted.mcc weighted.mcc.factor weighted.phi weighted.phi.factor
Mean Percentage Errormpe mpe.numeric weighted.mpe weighted.mpe.numeric
Mean Squared Errormse mse.numeric weighted.mse weighted.mse.numeric
Negative Likelihood Rationlr nlr.cmatrix nlr.factor weighted.nlr weighted.nlr.factor
Negative Predictive Valuenpv npv.cmatrix npv.factor weighted.npv weighted.npv.factor
Obesity Levels Datasetobesity
Use OpenMPopenmp.off openmp.on openmp.threads
Pinball Losspinball pinball.numeric weighted.pinball weighted.pinball.numeric
Positive Likelihood Ratioplr plr.cmatrix plr.factor weighted.plr weighted.plr.factor
Area under the Precision-Recall Curvepr.auc pr.auc.matrix weighted.pr.auc weighted.pr.auc.matrix
Precisionppv ppv.cmatrix ppv.factor precision precision.cmatrix precision.factor weighted.ppv weighted.ppv.factor weighted.precision weighted.precision.factor
Preorderpreorder
Presortpresort
Precision-Recall CurveprROC prROC.factor weighted.prROC weighted.prROC.factor
Relative Absolute Errorrae rae.numeric weighted.rae weighted.rae.numeric
Recallrecall recall.cmatrix recall.factor sensitivity sensitivity.cmatrix sensitivity.factor tpr tpr.cmatrix tpr.factor weighted.recall weighted.recall.factor weighted.sensitivity weighted.sensitivity.factor weighted.tpr weighted.tpr.factor
Root Mean Squared Errorrmse rmse.numeric weighted.rmse weighted.rmse.numeric
Root Mean Squared Logarithmic Errorrmsle rmsle.numeric weighted.rmsle weighted.rmsle.numeric
Area under the Receiver Operator Characteristics Curveroc.auc roc.auc.matrix weighted.roc.auc weighted.roc.auc.matrix
Receiver Operator CharacteristicsROC ROC.factor weighted.ROC weighted.ROC.factor
Relative Root Mean Squared Errorrrmse rrmse.numeric weighted.rrmse weighted.rrmse.numeric
Root Relative Squared Errorrrse rrse.numeric weighted.rrse weighted.rrse.numeric
R^2rsq rsq.numeric weighted.rsq weighted.rsq.numeric
Symmetric Mean Absolutte Percentage Errorsmape smape.numeric weighted.smape weighted.smape.numeric
Specificityselectivity selectivity.cmatrix selectivity.factor specificity specificity.cmatrix specificity.factor tnr tnr.cmatrix tnr.factor weighted.selectivity weighted.selectivity.factor weighted.specificity weighted.specificity.factor weighted.tnr weighted.tnr.factor
Wine Quality Datasetwine_quality
Zero-One Lossweighted.zerooneloss weighted.zerooneloss.factor zerooneloss zerooneloss.cmatrix zerooneloss.factor