A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
| Version: | 2.1-3 |
| Depends: | R (≥ 2.10) |
| Suggests: | lattice |
| Published: | 2021-01-29 |
| Author: | Friedrich Leisch and Evgenia Dimitriadou. |
| Maintainer: | Friedrich Leisch <Friedrich.Leisch at R-project.org> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | mlbench citation info |
| Materials: | README NEWS |
| CRAN checks: | mlbench results |
| Reference manual: | mlbench.pdf |
| Package source: | mlbench_2.1-3.tar.gz |
| Windows binaries: | r-devel: mlbench_2.1-3.zip, r-release: mlbench_2.1-3.zip, r-oldrel: mlbench_2.1-3.zip |
| macOS binaries: | r-release (arm64): mlbench_2.1-3.tgz, r-oldrel (arm64): mlbench_2.1-3.tgz, r-release (x86_64): mlbench_2.1-3.tgz, r-oldrel (x86_64): mlbench_2.1-3.tgz |
| Old sources: | mlbench archive |
| Reverse depends: | conformalClassification, GAMens |
| Reverse imports: | bayesGAM, forestRK, FSinR, interactionRCS, MLInterfaces, mlr3, OddsPlotty, spFSR, stream, TSDT |
| Reverse suggests: | adabag, alookr, archetypes, arulesCBA, ATR, aum, bnclassify, bolasso, BoomSpikeSlab, BoostMLR, Boruta, caret, caretEnsemble, clusterSim, ConfusionTableR, Cubist, cuda.ml, dann, datarobot, discrim, doParallel, doSNOW, e1071, easyalluvial, Evacluster, evtree, ExhaustiveSearch, EZtune, FCBF, flacco, flexmix, fscaret, FSelector, gamclass, GAparsimony, ggparty, GMDH2, h2o, hmclearn, HSAUR3, ipred, isotree, klaR, LLM, localICE, mboost, mlearning, mlr, mlr3cluster, mlr3pipelines, mlrCPO, mlt.docreg, neighbr, party, partykit, pdp, performanceEstimation, pre, r2pmml, randomForestSRC, rbooster, RBPcurve, RWeka, sjtable2df, skedastic, solitude, sparklyr, spikeSlabGAM, stabm, subsemble, SuperLearner, swag, tidypredict, tidyrules, tram, tramnet, triplot, vip, vivo, zooimage |
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