Recommended Learners for 'mlr3' R package mlr3learners version 0.15.1 Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting. Software Depends: mlr3 (>= 1.2.0), R (>= 3.4.0) Imports: checkmate, data.table, methods, mlr3misc (>= 0.9.4), paradox (>= 1.0.0), R6 Suggests: DiceKriging, e1071, future, glmnet, kknn, knitr, lgr, MASS, mirai, nnet, pracma, ranger, rgenoud, rmarkdown, testthat (>= 3.0.0), xgboost (>= 3.2.0.1) Marc Becker <marcbecker@posteo.de> Comprehensive R Archive Network (CRAN) Michel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>), Quay Au [aut] (ORCID: <https://orcid.org/0000-0002-5252-8902>), Stefan Coors [aut] (ORCID: <https://orcid.org/0000-0002-7465-2146>), Patrick Schratz [aut] (ORCID: <https://orcid.org/0000-0003-0748-6624>), Marc Becker [cre, aut] (ORCID: <https://orcid.org/0000-0002-8115-0400>), John Zobolas [aut] (ORCID: <https://orcid.org/0000-0002-3609-8674>), Alexander Winterstetter [ctb], Toby Hocking [ctb] (ORCID: <https://orcid.org/0000-0002-3146-0865>) LGPL-3 2026-07-25 application/tgz https://CRAN.R-project.org/package=mlr3learners doi:10.32614/CRAN.package.mlr3learners