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 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_2.1-1.tar.gz |
| Windows binaries: | r-devel: mlbench_2.1-1.zip, r-release: mlbench_2.1-1.zip, r-oldrel: mlbench_2.1-1.zip |
| macOS binaries: | r-release: mlbench_2.1-1.tgz, r-oldrel: mlbench_2.1-1.tgz |
| Old sources: | mlbench archive |
| Reverse depends: | conformalClassification, GAMens, mpbart, trimTrees |
| Reverse imports: | forestRK, FSinR, MLInterfaces, mlr3, spFSR, stream, TSDT |
| Reverse suggests: | adabag, alookr, archetypes, ATR, bnclassify, BoomSpikeSlab, BoostMLR, boostr, Boruta, caret, caretEnsemble, clusterSim, Cubist, dann, datarobot, discrim, doParallel, doSNOW, e1071, evtree, EZtune, FCBF, flacco, flexmix, fscaret, FSelector, GAparsimony, ggparty, GMDH2, h2o, hmclearn, HSAUR3, IPMRF, ipred, klaR, LLM, localICE, mboost, mlearning, mlr, mlr3pipelines, mlrCPO, mlt.docreg, mobForest, neighbr, party, partykit, performanceEstimation, pre, r2pmml, randomForestSRC, RBPcurve, RODM, RWeka, smartdata, sparklyr, spikeSlabGAM, SuperLearner, tidypredict, tidyrules, tram, tramnet, triplot, varrank, vip, vivo, zooimage |
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