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: 2.1-1
Depends: R (≥ 2.10)
Suggests: lattice
Published: 2012-07-10
Author: Friedrich Leisch and Evgenia Dimitriadou.
Maintainer: Friedrich Leisch <Friedrich.Leisch at>
License: GPL-2
NeedsCompilation: yes
Citation: mlbench citation info
Materials: README NEWS
CRAN checks: mlbench results


Reference manual: mlbench.pdf
Package source: mlbench_2.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: mlbench_2.1-1.tgz, r-oldrel: mlbench_2.1-1.tgz
OS X Mavericks binaries: r-release: mlbench_2.1-1.tgz
Old sources: mlbench archive

Reverse dependencies:

Reverse depends: adabag, trimTrees
Reverse imports: SparseLearner, stream
Reverse suggests: archetypes, boostr, Boruta, caret, caretEnsemble, clusterSim, Cubist, doParallel, doSNOW, e1071, evtree, flacco, flexmix, fscaret, FSelector, gamclass, gmum.r, h2o, HSAUR3, ipred, itree, klaR, mboost, mlearning, mlr, party, partykit, randomForestSRC, RBPcurve, RODM, RWeka, spikeSlabGAM, subsemble, SuperLearner, zooimage