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mlbench: Machine Learning Benchmark Problems

A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.

Version: 2.1-6
Depends: R (≥ 2.10)
Suggests: lattice
Published: 2024-12-30
DOI: 10.32614/CRAN.package.mlbench
Author: Friedrich Leisch ORCID iD [aut] (maintainer up to 2024), Evgenia Dimitriadou [aut], Kurt Hornik ORCID iD [cre]
Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org>
License: GPL-2
NeedsCompilation: yes
Citation: mlbench citation info
Materials: README NEWS
CRAN checks: mlbench results

Documentation:

Reference manual: mlbench.pdf

Downloads:

Package source: mlbench_2.1-6.tar.gz
Windows binaries: r-devel: mlbench_2.1-5.zip, r-release: mlbench_2.1-5.zip, r-oldrel: mlbench_2.1-5.zip
macOS binaries: r-release (arm64): mlbench_2.1-6.tgz, r-oldrel (arm64): mlbench_2.1-6.tgz, r-release (x86_64): mlbench_2.1-6.tgz, r-oldrel (x86_64): mlbench_2.1-6.tgz
Old sources: mlbench archive

Reverse dependencies:

Reverse depends: conformalClassification, GAMens
Reverse imports: CIpostSelect, forestRK, MLInterfaces, mlr3, OddsPlotty, stream, TSDT
Reverse suggests: adabag, agghoo, alookr, archetypes, arf, arulesCBA, ATR, aum, bnclassify, bolasso, BoomSpikeSlab, BoostMLR, Boruta, caret, caretEnsemble, clusterSim, ConfusionTableR, Cubist, cuda.ml, dann, datarobot, discrim, doParallel, doSNOW, e1071, easyalluvial, ecr, Elja, Evacluster, evtree, ExhaustiveSearch, explainer, EZtune, flacco, flexmix, flexOR, fscaret, FSelector, gamclass, GAparsimony, ggparty, GMDH2, h2o, hmclearn, HSAUR3, interactionRCS, ipred, isotree, klaR, LLM, localICE, mboost, mlearning, mlexperiments, mllrnrs, mlr, mlr3cluster, mlr3pipelines, mlrCPO, mlt.docreg, neighbr, nestedcv, party, partykit, pdp, performanceEstimation, pre, r2pmml, randomForestSRC, rbooster, RBPcurve, RWeka, sjtable2df, skedastic, solitude, sparklyr, spikeSlabGAM, stabm, stressor, subsemble, SuperLearner, swag, tidydann, tidypredict, tidyrules, tram, tramnet, triplot, varrank, vcrpart, vip, vivo, zooimage

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.