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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: 2.1-5
Depends: R (≥ 2.10)
Suggests: lattice
Published: 2024-05-02
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_2.1-5.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_2.1-5.tgz, r-oldrel (arm64): mlbench_2.1-5.tgz, r-release (x86_64): mlbench_2.1-5.tgz, r-oldrel (x86_64): mlbench_2.1-5.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:

Please use the canonical form https://CRAN.R-project.org/package=mlbench to link to this page.

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.
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