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 26 Oct. 2026.
Previous versions and publish date:
(2026-10-11 18:50), 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), 2.19.3 (2025-08-22 23:20)
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
rts2
Log-Gaussian Cox Process Models with Approximations
Supports modelling real-time case data to facilitate the real-time
surveillance of infectious disea ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sam Watson (view profile)
SADEG
Stability Analysis in Differentially Expressed Genes
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Babak Khorsand (view profile)
nextGenShinyApps
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
LSDsensitivity
Sensitivity Analysis Tools for 'LSD' Simulations
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marcelo C. Pereira (view profile)
MARSS
Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter
estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Elizabeth Eli Holmes (view profile)
29,218
R Packages
247,686
Dependencies
77,281
Author Associations
29,219
Publication Badges
