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mlr3measures  

Performance Measures for 'mlr3'
View on CRAN: Click here


Download and install mlr3measures package within the R console
Install from CRAN:
install.packages("mlr3measures")

Install from Github:
library("remotes")
install_github("cran/mlr3measures")

Install by package version:
library("remotes")
install_version("mlr3measures", "1.2.0")



Attach the package and use:
library("mlr3measures")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2024-09-11
Description:
Implements multiple performance measures for supervised learning. Includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.
How to cite:
Marc Becker (2019). mlr3measures: Performance Measures for 'mlr3'. R package version 1.2.0, https://cran.r-project.org/web/packages/mlr3measures. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.1.0 (2019-10-28 15:00), 0.1.1 (2019-11-05 08:50), 0.1.2 (2020-03-04 12:40), 0.1.3 (2020-04-01 23:00), 0.2.0 (2020-06-27 06:50), 0.3.0 (2020-10-05 16:10), 0.3.1 (2021-01-06 17:00), 0.4.0 (2021-09-26 18:30), 0.4.1 (2022-01-13 13:22), 0.5.0 (2022-08-05 14:50), 0.6.0 (2024-07-21 02:30), 1.0.0 (2024-09-12 00:52), 1.1.0 (2025-09-04 10:10), 1.2.0 (2025-11-25 07:10)
Other packages that cited mlr3measures R package
View mlr3measures citation profile
Other R packages that mlr3measures depends, imports, suggests or enhances
Complete documentation for mlr3measures
Functions, R codes and Examples using the mlr3measures R package
Some associated functions: acc . ae . ape . auc . bacc . bbrier . bias . binary_params . ce . classif_params . confusion_matrix . dor . fbeta . fdr . fn . fnr . fomr . fp . fpr . jaccard . ktau . logloss . mae . mape . mauc_aunu . maxae . maxse . mbrier . mcc . measures . medae . medse . mlr3measures-package . mse . msle . npv . pbias . phi . ppv . prauc . rae . regr_params . rmse . rmsle . rrse . rse . rsq . sae . se . similarity_params . sle . smape . srho . sse . tn . tnr . tp . tpr . zero_one . 
Some associated R codes: assertions.R . bibentries.R . binary_auc.R . binary_bbrier.R . binary_dor.R . binary_fbeta.R . binary_fdr.R . binary_fn.R . binary_fnr.R . binary_fomr.R . binary_fp.R . binary_fpr.R . binary_mcc.R . binary_npv.R . binary_ppv.R . binary_prauc.R . binary_tn.R . binary_tnr.R . binary_tp.R . binary_tpr.R . classif_acc.R . classif_auc.R . classif_bacc.R . classif_ce.R . classif_logloss.R . classif_mbrier.R . classif_zero_one.R . confusion_matrix.R . helper.R . measures.R . regr_ae.R . regr_ape.R . regr_bias.R . regr_ktau.R . regr_mae.R . regr_mape.R . regr_maxae.R . regr_maxse.R . regr_medae.R . regr_medse.R . regr_mse.R . regr_msle.R . regr_pbias.R . regr_rae.R . regr_rmse.R . regr_rmsle.R . regr_rrse.R . regr_rse.R . regr_rsq.R . regr_sae.R . regr_se.R . regr_sle.R . regr_smape.R . regr_srho.R . regr_sse.R . roxygen.R . similarity_jaccard.R . similarity_phi.R . zzz.R .  Full mlr3measures package functions and examples
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