Feature Selection for 'mlr3' R package mlr3fselect version 1.6.0 Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling. Software Depends: mlr3 (>= 1.0.1), R (>= 3.1.0) Imports: bbotk (>= 1.9.0), checkmate (>= 2.0.0), cli, data.table, lgr, mlr3misc (>= 0.15.1), paradox (>= 1.0.0), R6, stabm Suggests: e1071, fastVoteR (>= 0.0.3), genalg, mirai, mlr3learners, mlr3pipelines, processx, redux, rpart, rush (>= 1.0.0), testthat (>= 3.0.0) Marc Becker <marcbecker@posteo.de> Comprehensive R Archive Network (CRAN) Marc Becker [aut, cre] (ORCID: <https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (ORCID: <https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>), John Zobolas [aut] (ORCID: <https://orcid.org/0000-0002-3609-8674>) LGPL-3 2026-05-21 application/tgz https://CRAN.R-project.org/package=mlr3fselect doi:10.32614/CRAN.package.mlr3fselect en-US