R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
mlr
Machine Learning in R
View on CRAN: Click
here
Download and install mlr package within the R console
Install from CRAN:
install.packages("mlr")
Install from Github:
library("remotes")
install_github("cran/mlr") Install by package version:
library("remotes")
install_version("mlr", "2.19.3") Attach the package and use:
library("mlr")
Maintained by
Martin Binder
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-30
Latest Update: 2025-09-03
Description:
Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There
is also an experimental extension for survival analysis, clustering
and general, example-specific cost-sensitive learning. Generic
resampling, including cross-validation, bootstrapping and subsampling.
Hyperparameter tuning with modern optimization techniques, for single-
and multi-objective problems. Filter and wrapper methods for feature
selection. Extension of basic learners with additional operations
common in machine learning, also allowing for easy nested resampling.
Most operations can be parallelized.
How to cite:
Martin Binder (2013). mlr: Machine Learning in R. R package version 2.19.3, https://cran.r-project.org/web/packages/mlr. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.1-18 (2013-08-30 01:32), 2.0 (2014-07-04 02:25), 2.1 (2014-07-21 20:08), 2.2 (2014-10-29 07:43), 2.3 (2015-02-04 07:43), 2.4 (2015-06-13 00:40), 2.5 (2015-11-20 17:38), 2.6 (2015-11-26 08:38), 2.7 (2015-12-04 15:58), 2.8 (2016-02-13 08:37), 2.9 (2016-08-03 18:03), 2.10 (2017-02-07 10:08), 2.11 (2017-03-15 08:49), 2.12.1 (2018-03-29 12:03), 2.12 (2018-03-11 01:07), 2.13 (2018-08-28 14:30), 2.14.0 (2019-04-26 00:00), 2.15.0 (2019-08-06 17:10), 2.16.0 (2019-11-26 15:50), 2.17.0 (2020-01-10 21:00), 2.17.1 (2020-03-24 11:40), 2.18.0 (2020-10-05 12:20), 2.19.0 (2021-02-22 15:50), 2.19.1 (2022-09-29 15:30), 2.19.2 (2024-06-12 12:50)
Other packages that cited mlr R package
View mlr citation profile
Other R packages that mlr depends,
imports, suggests or enhances
Complete documentation for mlr
Functions, R codes and Examples using
the mlr R package
Some associated functions: Aggregation . BenchmarkResult . ClassifTask . ClusterTask . ConfusionMatrix . CostSensTask . FailureModel . FeatSelControl . FeatSelResult . LearnerProperties . MeasureProperties . MultilabelTask . Prediction . RLearner . RegrTask . ResamplePrediction . ResampleResult . SurvTask . Task . TaskDesc . TuneControl . TuneMultiCritControl . TuneMultiCritResult . TuneResult . addRRMeasure . aggregations . agri.task . analyzeFeatSelResult . asROCRPrediction . batchmark . bc.task . benchmark . bh.task . cache_helpers . calculateConfusionMatrix . calculateROCMeasures . capLargeValues . changeData . checkLearner . checkPredictLearnerOutput . configureMlr . convertBMRToRankMatrix . convertMLBenchObjToTask . costiris.task . createDummyFeatures . createSpatialResamplingPlots . crossover . downsample . dropFeatures . estimateRelativeOverfitting . estimateResidualVariance . extractFDABsignal . extractFDADTWKernel . extractFDAFPCA . extractFDAFeatures . extractFDAFourier . extractFDAMultiResFeatures . extractFDATsfeatures . extractFDAWavelets . filterFeatures . friedmanPostHocTestBMR . friedmanTestBMR . fuelsubset.task . generateCalibrationData . generateCritDifferencesData . generateFeatureImportanceData . generateFilterValuesData . generateHyperParsEffectData . generateLearningCurveData . generatePartialDependenceData . generateThreshVsPerfData . getBMRAggrPerformances . getBMRFeatSelResults . getBMRFilteredFeatures . getBMRLearnerIds . getBMRLearnerShortNames . getBMRLearners . getBMRMeasureIds . getBMRMeasures . getBMRModels . getBMRPerformances . getBMRPredictions . getBMRTaskDescriptions . getBMRTaskDescs . getBMRTaskIds . getBMRTuneResults . getCaretParamSet . getClassWeightParam . getConfMatrix . getDefaultMeasure . getFailureModelDump . getFailureModelMsg . getFeatSelResult . getFeatureImportance . getFeatureImportanceLearner . getFilteredFeatures . getFunctionalFeatures . getHomogeneousEnsembleModels . getHyperPars . getLearnerId . getLearnerModel . getLearnerNote . getLearnerPackages . getLearnerParVals . getLearnerParamSet . getLearnerPredictType . getLearnerShortName . getLearnerType . getMlrOptions . getMultilabelBinaryPerformances . getNestedTuneResultsOptPathDf . getNestedTuneResultsX . getOOBPreds . getOOBPredsLearner . getParamSet . getPredictionDump . getPredictionProbabilities . getPredictionResponse . getPredictionTaskDesc . getProbabilities . getRRDump . getRRPredictionList . getRRPredictions . getRRTaskDesc . getRRTaskDescription . getResamplingIndices . getStackedBaseLearnerPredictions . getTaskClassLevels . getTaskCosts . getTaskData . getTaskDesc . getTaskDescription . getTaskFeatureNames . getTaskFormula . getTaskId . getTaskNFeats . getTaskSize . getTaskTargetNames . getTaskTargets . getTaskType . getTuneResult . getTuneResultOptPath . gunpoint.task . hasFunctionalFeatures . hasProperties . helpLearner . helpLearnerParam . imputations . impute . iris.task . isFailureModel . joinClassLevels . learnerArgsToControl . learners . listFilterEnsembleMethods . listFilterMethods . listLearnerProperties . listLearners . listMeasureProperties . listMeasures . listTaskTypes . lung.task . makeAggregation . makeBaggingWrapper . makeBaseWrapper . makeChainModel . makeClassificationViaRegressionWrapper . makeConstantClassWrapper . makeCostMeasure . makeCostSensClassifWrapper . makeCostSensRegrWrapper . makeCostSensWeightedPairsWrapper . makeCustomResampledMeasure . makeDownsampleWrapper . makeDummyFeaturesWrapper . makeExtractFDAFeatMethod . makeExtractFDAFeatsWrapper . makeFeatSelWrapper . makeFilter . makeFilterEnsemble . makeFilterWrapper . makeFixedHoldoutInstance . makeFunctionalData . makeImputeMethod . makeImputeWrapper . makeLearner . makeLearners . makeMeasure . makeModelMultiplexer . makeModelMultiplexerParamSet . makeMulticlassWrapper . makeMultilabelBinaryRelevanceWrapper . makeMultilabelClassifierChainsWrapper . makeMultilabelDBRWrapper . makeMultilabelNestedStackingWrapper . makeMultilabelStackingWrapper . makeOverBaggingWrapper . makePreprocWrapper . makePreprocWrapperCaret . makeRLearner.classif.fdausc.glm . makeRLearner.classif.fdausc.kernel . makeRLearner.classif.fdausc.np . makeRemoveConstantFeaturesWrapper . makeResampleDesc . makeResampleInstance . makeSMOTEWrapper . makeStackedLearner . makeTaskDesc . makeTaskDescInternal . makeTuneControlCMAES . makeTuneControlDesign . makeTuneControlGenSA . makeTuneControlGrid . makeTuneControlIrace . makeTuneControlMBO . makeTuneControlRandom . makeTuneWrapper . makeUndersampleWrapper . makeWeightedClassesWrapper . makeWrappedModel . measures . mergeBenchmarkResults . mergeSmallFactorLevels . mlr-package . mlrFamilies . mtcars.task . normalizeFeatures . oversample . parallelization . performance . phoneme.task . pid.task . plotBMRBoxplots . plotBMRRanksAsBarChart . plotBMRSummary . plotCalibration . plotCritDifferences . plotFilterValues . plotHyperParsEffect . plotLearnerPrediction . plotLearningCurve . plotPartialDependence . plotROCCurves . plotResiduals . plotThreshVsPerf . plotTuneMultiCritResult . predict.WrappedModel . predictLearner . reduceBatchmarkResults . reextractFDAFeatures . reimpute . removeConstantFeatures . removeHyperPars . resample . selectFeatures . setAggregation . setHyperPars . setHyperPars2 . setId . setLearnerId . setMeasurePars . setPredictThreshold . setPredictType . setThreshold . simplifyMeasureNames . smote . sonar.task . spam.task . spatial.task . subsetTask . summarizeColumns . summarizeLevels . train . trainLearner . tuneParams . tuneParamsMultiCrit . tuneThreshold . wpbc.task . yeast.task .
Some associated R codes: Aggregation.R . BaggingWrapper.R . BaseEnsemble.R . BaseEnsemble_operators.R . BaseWrapper.R . BaseWrapper_operators.R . BenchmarkResultOrderLevels.R . BenchmarkResult_operators.R . ChainModel.R . ChainModel_operators.R . ClassifTask.R . ClassificationViaRegressionWrapper.R . ClusterTask.R . ConstantClassWrapper.R . CostSensClassifWrapper.R . CostSensRegrWrapper.R . CostSensTask.R . CostSensWeightedPairsWrapper.R . DownsampleWrapper.R . DummyFeaturesWrapper.R . FailureModel.R . FeatSelControl.R . FeatSelControlExhaustive.R . FeatSelControlGA.R . FeatSelControlRandom.R . FeatSelControlSequential.R . FeatSelResult.R . FeatSelWrapper.R . Filter.R . FilterEnsemble.R . FilterWrapper.R . HoldoutInstance_make_fixed.R . HomogeneousEnsemble.R . Impute.R . ImputeMethods.R . ImputeWrapper.R . Learner.R . Learner_operators.R . Learner_properties.R . Measure.R . Measure_colAUC.R . Measure_custom_resampled.R . Measure_make_cost.R . Measure_operators.R . Measure_properties.R . ModelMultiplexer.R . ModelMultiplexerParamSet.R . MulticlassWrapper.R . MultilabelBinaryRelevanceWrapper.R . MultilabelClassifierChainsWrapper.R . MultilabelDBRWrapper.R . MultilabelNestedStackingWrapper.R . MultilabelStackingWrapper.R . MultilabelTask.R . NoFeaturesModel.R . OptControl.R . OptResult.R . OptWrapper.R . OverBaggingWrapper.R . OverUnderSampling.R . OverUndersampleWrapper.R . Prediction.R . Prediction_operators.R . PreprocWrapper.R . PreprocWrapperCaret.R . RLearner.R . RLearner_classif_C50.R . RLearner_classif_FDboost.R . RLearner_classif_IBk.R . RLearner_classif_J48.R . RLearner_classif_JRip.R . RLearner_classif_LiblineaRL1L2SVC.R . RLearner_classif_LiblineaRL1LogReg.R . RLearner_classif_LiblineaRL2L1SVC.R . RLearner_classif_LiblineaRL2LogReg.R . RLearner_classif_LiblineaRL2SVC.R . RLearner_classif_LiblineaRMultiClassSVC.R . RLearner_classif_OneR.R . RLearner_classif_PART.R . RLearner_classif_RRF.R . RLearner_classif_ada.R . RLearner_classif_adaboostm1.R . RLearner_classif_bartMachine.R . RLearner_classif_binomial.R . RLearner_classif_boosting.R . RLearner_classif_bst.R . RLearner_classif_cforest.R . RLearner_classif_clusterSVM.R . RLearner_classif_ctree.R . RLearner_classif_cvglmnet.R . RLearner_classif_dbnDNN.R . RLearner_classif_dcSVM.R . RLearner_classif_earth.R . RLearner_classif_evtree.R . RLearner_classif_fdausc.glm.R . RLearner_classif_fdausc.kernel.R . RLearner_classif_fdausc.knn.R . RLearner_classif_fdausc.np.R . RLearner_classif_featureless.R . RLearner_classif_fgam.R . RLearner_classif_fnn.R . RLearner_classif_gamboost.R . RLearner_classif_gaterSVM.R . RLearner_classif_gausspr.R . RLearner_classif_gbm.R . RLearner_classif_glmboost.R . RLearner_classif_glmnet.R . RLearner_classif_h2odeeplearning.R . RLearner_classif_h2ogbm.R . RLearner_classif_h2oglm.R . RLearner_classif_h2orandomForest.R . RLearner_classif_kknn.R . RLearner_classif_knn.R . RLearner_classif_ksvm.R . RLearner_classif_lda.R . RLearner_classif_logreg.R . RLearner_classif_lssvm.R . RLearner_classif_lvq1.R . RLearner_classif_mda.R . RLearner_classif_mlp.R . RLearner_classif_multinom.R . RLearner_classif_naiveBayes.R . RLearner_classif_neuralnet.R . RLearner_classif_nnTrain.R . RLearner_classif_nnet.R . RLearner_classif_pamr.R . RLearner_classif_penalized.R . RLearner_classif_plr.R . RLearner_classif_plsdaCaret.R . RLearner_classif_probit.R . RLearner_classif_qda.R . RLearner_classif_rFerns.R . RLearner_classif_randomForest.R . RLearner_classif_ranger.R . RLearner_classif_rda.R . RLearner_classif_rotationForest.R . RLearner_classif_rpart.R . RLearner_classif_saeDNN.R . RLearner_classif_sda.R . RLearner_classif_sparseLDA.R . RLearner_classif_svm.R . RLearner_classif_xgboost.R . RLearner_cluster_Cobweb.R . RLearner_cluster_EM.R . RLearner_cluster_FarthestFirst.R . RLearner_cluster_MiniBatchKmeans.R . RLearner_cluster_SimpleKMeans.R . RLearner_cluster_XMeans.R . RLearner_cluster_cmeans.R . RLearner_cluster_dbscan.R . RLearner_cluster_kkmeans.R . RLearner_cluster_kmeans.R . RLearner_multilabel_cforest.R . RLearner_multilabel_rFerns.R . RLearner_regr_FDboost.R . RLearner_regr_GPfit.R . RLearner_regr_IBk.R . RLearner_regr_LiblineaRL2L1SVR.R . RLearner_regr_LiblineaRL2L2SVR.R . RLearner_regr_RRF.R . RLearner_regr_bartMachine.R . RLearner_regr_bcart.R . RLearner_regr_bgp.R . RLearner_regr_bgpllm.R . RLearner_regr_blm.R . RLearner_regr_brnn.R . RLearner_regr_bst.R . RLearner_regr_btgp.R . RLearner_regr_btgpllm.R . RLearner_regr_btlm.R . RLearner_regr_cforest.R . RLearner_regr_crs.R . RLearner_regr_ctree.R . RLearner_regr_cubist.R . RLearner_regr_cvglmnet.R . RLearner_regr_earth.R . RLearner_regr_evtree.R . RLearner_regr_featureless.R . RLearner_regr_fgam.R . RLearner_regr_fnn.R . RLearner_regr_frbs.R . RLearner_regr_gamboost.R . RLearner_regr_gausspr.R . RLearner_regr_gbm.R . RLearner_regr_glm.R . RLearner_regr_glmboost.R . RLearner_regr_glmnet.R . RLearner_regr_h2odeeplearning.R . RLearner_regr_h2ogbm.R . RLearner_regr_h2oglm.R . RLearner_regr_h2orandomForest.R . RLearner_regr_kknn.R . RLearner_regr_km.R . RLearner_regr_ksvm.R . RLearner_regr_laGP.R . RLearner_regr_lm.R . RLearner_regr_mars.R . RLearner_regr_mob.R . RLearner_regr_nnet.R . RLearner_regr_pcr.R . RLearner_regr_penalized.R . RLearner_regr_plsr.R . RLearner_regr_randomForest.R . RLearner_regr_ranger.R . RLearner_regr_rpart.R . RLearner_regr_rsm.R . RLearner_regr_rvm.R . RLearner_regr_svm.R . RLearner_regr_xgboost.R . RLearner_surv_cforest.R . RLearner_surv_coxph.R . RLearner_surv_cvglmnet.R . RLearner_surv_gamboost.R . RLearner_surv_gbm.R . RLearner_surv_glmboost.R . RLearner_surv_glmnet.R . RLearner_surv_ranger.R . RLearner_surv_rpart.R . RegrTask.R . RemoveConstantFeaturesWrapper.R . ResampleDesc.R . ResampleInstance.R . ResampleInstances.R . ResamplePrediction.R . ResampleResult.R . ResampleResult_operators.R . SMOTEWrapper.R . StackedLearner.R . SupervisedTask.R . SurvTask.R . Task.R . TaskDesc.R . Task_operators.R . TuneControl.R . TuneControlCMAES.R . TuneControlDesign.R . TuneControlGenSA.R . TuneControlGrid.R . TuneControlIrace.R . TuneControlMBO.R . TuneControlRandom.R . TuneMultiCritControl.R . TuneMultiCritControlGrid.R . TuneMultiCritControlMBO.R . TuneMultiCritControlNSGA2.R . TuneMultiCritControlRandom.R . TuneMultiCritResult.R . TuneResult.R . TuneWrapper.R . UnsupervisedTask.R . WeightedClassesWrapper.R . WrappedModel.R . aggregations.R . analyzeFeatSelResult.R . asROCRPrediction.R . batchmark.R . benchmark.R . benchmark_helpers.R . cache_helpers.R . calculateConfusionMatrix.R . calculateROCMeasures.R . capLargeValues.R . checkAggrBeforeResample.R . checkBMRMeasure.R . checkLearner.R . checkLearnerBeforeTrain.R . checkMeasures.R . checkPrediction.R . checkTargetPreproc.R . checkTask.R . checkTaskSubset.R . checkTunerParset.R . configureMlr.R . convertBMRToRankMatrix.R . convertMLBenchObjToTask.R . convertX.R . createDummyFeatures.R . createSpatialResamplingPlots.R . crossover.R . datasets.R . downsample.R . dropFeatures.R . estimateResidualVariance.R . evalOptimizationState.R . extractFDAFeatures.R . extractFDAFeaturesMethods.R . extractFDAFeaturesWrapper.R . filterFeatures.R . fixDataForLearner.R . friedmanPostHocTestBMR.R . friedmanTestBMR.R . generateCalibration.R . generateFeatureImportance.R . generateFilterValues.R . generateHyperParsEffect.R . generateLearningCurve.R . generatePartialDependence.R . generateThreshVsPerf.R . getCaretParamSet.R . getClassWeightParam.R . getConfMatrix.R . getFeatSelResult.R . getFeatureImportance.R . getFunctionalFeatures.R . getHyperPars.R . getMultilabelBinaryPerformances.R . getNestedTuneResults.R . getOOBPreds.R . getParamSet.R . getResampleExtract.R . getResamplingIndices.R . getTaskConstructorForLearner.R . getTuneResult.R . getTuneThresholdExtra.R . hasFunctionalFeatures.R . helpLearner.R . helpers.R . helpers_FDGAMBoost.R . helpers_fda.R . joinClassLevels.R . learnerArgsToControl.R . learners.R . listLearners.R . listMeasures.R . logFunOpt.R . makeFunctionalData.R . makeLearner.R . makeLearners.R . measures.R . mergeBenchmarkResults.R . mergeSmallFactorLevels.R . mutateBits.R . normalizeFeatures.R . options.R . parallelization.R . performance.R . plotBMRBoxplots.R . plotBMRRanksAsBarChart.R . plotBMRSummary.R . plotCritDifferences.R . plotLearnerPrediction.R . plotResiduals.R . plotTuneMultiCritResult.R . predict.R . predictLearner.R . relativeOverfitting.R . removeConstantFeatures.R . removeHyperPars.R . resample.R . resample_convenience.R . selectFeatures.R . selectFeaturesExhaustive.R . selectFeaturesGA.R . selectFeaturesRandom.R . selectFeaturesSequential.R . setHyperPars.R . setId.R . setPredictThreshold.R . setPredictType.R . setThreshold.R . simplifyMeasureNames.R . smote.R . summarizeColumns.R . summarizeLevels.R . train.R . trainLearner.R . tuneCMAES.R . tuneDesign.R . tuneGenSA.R . tuneGrid.R . tuneIrace.R . tuneMBO.R . tuneMultiCritGrid.R . tuneMultiCritNSGA2.R . tuneMultiCritRandom.R . tuneParams.R . tuneParamsMultiCrit.R . tuneRandom.R . tuneThreshold.R . tunerFitnFun.R . utils.R . utils_imbalancy.R . utils_opt.R . utils_plot.R . zzz.R . Full mlr package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
neat
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network
Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mirko Signorelli (view profile)
diffIRT
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and
response time data. Models are fit using ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dylan Molenaar (view profile)
pinp
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the
'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dirk Eddelbuettel (view profile)
imagefx
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex J.C. Witsil (view profile)
ClimClass
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity
indices, of continentality indi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Emanuele Eccel (view profile)
roccv
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ben Sherwood (view profile)
26,264
R Packages
223,360
Dependencies
70,244
Author Associations
26,265
Publication Badges
