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mlr3measures
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", "1.0.0")
Attach the package and use:
library("mlr3measures")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mlr3measures . https://github.com/mlr-org/mlr3measures/issues . https:///mlr3measures.mlr-org.com . https://github.com/mlr-org/mlr3measures . mlr3measures results . mlr3measures.pdf . mlr3measures_1.0.0.tar.gz . mlr3measures_1.0.0.zip . mlr3measures_1.0.0.zip . mlr3measures_1.0.0.zip . mlr3measures_1.0.0.tgz . mlr3measures_1.0.0.tgz . mlr3measures_1.0.0.tgz . mlr3measures_1.0.0.tgz . mlr3measures_1.0.0.tgz . mlr3measures_1.0.0.tgz . mlr3measures archive . https://CRAN.R-project.org/package=mlr3measures .
First Published: 2019-10-28
Latest Update: 2022-08-05
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 1.0.0, https://cran.r-project.org/web/packages/mlr3measures. Accessed 13 Apr. 2025.
Previous versions and publish date:
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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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