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- 1.AmesHousing::ames_geoRaw Ames Housing Data
- 2.AmesHousing::ames_newRaw Ames Housing Data
- 3.AmesHousing::ames_rawRaw Ames Housing Data
- 4.AmesHousing::ames_school_districts_sfAmes Public Schools
- 5.AmesHousing::ames_schools_geoAmes Public Schools
- 6.AmesHousing::hood_levelsRaw Ames Housing Data
- 7.AppliedPredictiveModeling::abaloneAbalone Data
- 8.AppliedPredictiveModeling::bioHepatic Injury Data
- 9.AppliedPredictiveModeling::cars2010Fuel Economy Data
- 10.AppliedPredictiveModeling::cars2011Fuel Economy Data
- 11.AppliedPredictiveModeling::cars2012Fuel Economy Data
- 12.AppliedPredictiveModeling::chemHepatic Injury Data
- 13.AppliedPredictiveModeling::ChemicalManufacturingProcessChemical Manufacturing Process Data
- 14.AppliedPredictiveModeling::classesTwo Class Example Data
- 15.AppliedPredictiveModeling::concreteCompressive Strength of Concrete from Yeh (1998)
- 16.AppliedPredictiveModeling::diagnosisAlzheimer's Disease CSF Data
- 17.AppliedPredictiveModeling::fingerprintsPermeability Data
- 18.AppliedPredictiveModeling::injuryHepatic Injury Data
- 19.AppliedPredictiveModeling::logisticCreditPredictionsLogistic Regression Predictions for the Credit Data
- 20.AppliedPredictiveModeling::mixturesCompressive Strength of Concrete from Yeh (1998)
- 21.AppliedPredictiveModeling::permeabilityPermeability Data
- 22.AppliedPredictiveModeling::predictorsAlzheimer's Disease CSF Data
- 23.AppliedPredictiveModeling::predictorsAlzheimer's Disease CSF Data
- 24.AppliedPredictiveModeling::schedulingDataHPC Job Scheduling Data
- 25.AppliedPredictiveModeling::segmentationOriginalCell Body Segmentation
- 26.AppliedPredictiveModeling::solTestXSolubility Data
- 27.AppliedPredictiveModeling::solTestXtransSolubility Data
- 28.AppliedPredictiveModeling::solTestYSolubility Data
- 29.AppliedPredictiveModeling::solTrainXSolubility Data
- 30.AppliedPredictiveModeling::solTrainXtransSolubility Data
- 31.AppliedPredictiveModeling::solTrainYSolubility Data
- 32.beans::beansDry beans
- 33.caret::absorpFat, Water and Protein Content of Meat Samples
- 34.caret::bbbDescrBlood Brain Barrier Data
- 35.caret::carsKelly Blue Book resale data for 2005 model year GM cars
- 36.caret::cox2ClassCOX-2 Activity Data
- 37.caret::cox2DescrCOX-2 Activity Data
- 38.caret::cox2IC50COX-2 Activity Data
- 39.caret::dhfrDihydrofolate Reductase Inhibitors Data
- 40.caret::endpointsFat, Water and Protein Content of Meat Samples
- 41.caret::fattyAcidsFatty acid composition of commercial oils
- 42.caret::GermanCreditGerman Credit Data
- 43.caret::logBBBBlood Brain Barrier Data
- 44.caret::mdrrClassMultidrug Resistance Reversal (MDRR) Agent Data
- 45.caret::mdrrDescrMultidrug Resistance Reversal (MDRR) Agent Data
- 46.caret::oilTypeFatty acid composition of commercial oils
- 47.caret::potteryClassPottery from Pre-Classical Sites in Italy
- 48.caret::SacramentoSacramento CA Home Prices
- 49.caret::scatMorphometric Data on Scat
- 50.caret::scat_origMorphometric Data on Scat
- 51.caret::segmentationDataCell Body Segmentation
- 52.desirability2::classification_resultsClassification results
- 53.modeldata::ad_dataAlzheimer's disease data
- 54.modeldata::amesAmes Housing Data
- 55.modeldata::attritionJob attrition
- 56.modeldata::biomassBiomass data
- 57.modeldata::bivariate_testExample bivariate classification data
- 58.modeldata::bivariate_trainExample bivariate classification data
- 59.modeldata::bivariate_valExample bivariate classification data
- 60.modeldata::car_pricesKelly Blue Book resale data for 2005 model year GM cars
- 61.modeldata::cat_adoptionCat Adoption
- 62.modeldata::cellsCell body segmentation
- 63.modeldata::check_timesExecution time data
- 64.modeldata::chem_proc_yieldChemical manufacturing process data set
- 65.modeldata::ChicagoChicago ridership data
- 66.modeldata::cls_data_2026Two classes, Two predictors 2026 Edition
- 67.modeldata::concreteCompressive strength of concrete mixtures
- 68.modeldata::coversRaw cover type data
- 69.modeldata::credit_dataCredit data
- 70.modeldata::cricketsRates of Cricket Chirps
- 71.modeldata::deliveriesFood Delivery Time Data
- 72.modeldata::drinksSample time series data
- 73.modeldata::grants_2008Grant acceptance data
- 74.modeldata::grants_otherGrant acceptance data
- 75.modeldata::grants_testGrant acceptance data
- 76.modeldata::hepatic_injury_qsarPredicting hepatic injury from chemical information
- 77.modeldata::hotel_ratesDaily Hotel Rate Data
- 78.modeldata::hpc_cvClass probability predictions
- 79.modeldata::hpc_dataHigh-performance computing system data
- 80.modeldata::ischemic_strokeClinical data used to predict ischemic stroke
- 81.modeldata::leaf_id_flaviaLeaf identification data (Flavia)
- 82.modeldata::lending_clubLoan data
- 83.modeldata::meatsFat, water and protein content of meat samples
- 84.modeldata::mlc_churnCustomer churn data
- 85.modeldata::oilsFatty acid composition of commercial oils
- 86.modeldata::parabolicParabolic class boundary data
- 87.modeldata::pathologyLiver pathology data
- 88.modeldata::pd_speechParkinson's disease speech classification data set
- 89.modeldata::penguinsPalmer Station penguin data
- 90.modeldata::permeability_qsarPredicting permeability from chemical information
- 91.modeldata::SacramentoSacramento CA home prices
- 92.modeldata::scatMorphometric data on scat
- 93.modeldata::SmithsonianSmithsonian museums
- 94.modeldata::solubility_testSolubility predictions from MARS model
- 95.modeldata::stackoverflowAnnual Stack Overflow Developer Survey Data
- 96.modeldata::stationsChicago ridership data
- 97.modeldata::steroidogenic_toxicityPredicting steroidogenic toxicity with assay data
- 98.modeldata::tate_textTate Gallery modern artwork metadata
- 99.modeldata::taxiChicago taxi data set
- 100.modeldata::testing_dataFine foods example data
- 101.modeldata::training_dataFine foods example data
- 102.modeldata::two_class_datTwo class data
- 103.modeldata::two_class_exampleTwo class predictions
- 104.modeldata::wa_churnWatson churn data
- 105.parsnip::model_dbparsnip model specification database
- 106.probably::boosting_predictions_oobBoosted regression trees predictions
- 107.probably::boosting_predictions_testBoosted regression trees predictions
- 108.probably::segment_logisticImage segmentation predictions
- 109.probably::segment_naive_bayesImage segmentation predictions
- 110.probably::species_probsPredictions on animal species
- 111.QSARdata::AquaticTox_ActivityFathead Minnow Acute Aquatic Toxicity
- 112.QSARdata::AquaticTox_AtomPairFathead Minnow Acute Aquatic Toxicity
- 113.QSARdata::AquaticTox_Daylight_FPFathead Minnow Acute Aquatic Toxicity
- 114.QSARdata::AquaticTox_DragonFathead Minnow Acute Aquatic Toxicity
- 115.QSARdata::AquaticTox_LcalcFathead Minnow Acute Aquatic Toxicity
- 116.QSARdata::AquaticTox_moe2DFathead Minnow Acute Aquatic Toxicity
- 117.QSARdata::AquaticTox_moe2D_FPFathead Minnow Acute Aquatic Toxicity
- 118.QSARdata::AquaticTox_moe3DFathead Minnow Acute Aquatic Toxicity
- 119.QSARdata::AquaticTox_OutcomeFathead Minnow Acute Aquatic Toxicity
- 120.QSARdata::AquaticTox_PipelinePilot_FPFathead Minnow Acute Aquatic Toxicity
- 121.QSARdata::AquaticTox_QuickPropFathead Minnow Acute Aquatic Toxicity
- 122.QSARdata::bbb2_AtomPairBlood-Brain Barrier Data
- 123.QSARdata::bbb2_ClassBlood-Brain Barrier Data
- 124.QSARdata::bbb2_Daylight_FPBlood-Brain Barrier Data
- 125.QSARdata::bbb2_DragonBlood-Brain Barrier Data
- 126.QSARdata::bbb2_LcalcBlood-Brain Barrier Data
- 127.QSARdata::bbb2_moe2DBlood-Brain Barrier Data
- 128.QSARdata::bbb2_moe2D_FPBlood-Brain Barrier Data
- 129.QSARdata::bbb2_moe3DBlood-Brain Barrier Data
- 130.QSARdata::bbb2_OutcomeBlood-Brain Barrier Data
- 131.QSARdata::bbb2_PipelinePilot_FPBlood-Brain Barrier Data
- 132.QSARdata::bbb2_QuickPropBlood-Brain Barrier Data
- 133.QSARdata::MP_DataMelting Point Data
- 134.QSARdata::MP_DescriptorsMelting Point Data
- 135.QSARdata::MP_OutcomeMelting Point Data
- 136.QSARdata::Mutagen_DragonMutagenicity Data
- 137.QSARdata::Mutagen_OutcomeMutagenicity Data
- 138.sfd::sfd_libSpace-Filling Designs
- 139.shinymodels::ames_mlp_itrIterative optimization of neural network
- 140.shinymodels::cars_bag_vfldResampled bagged tree results
- 141.shinymodels::cell_raceA CART classification tree tuned via racing
- 142.shinymodels::scat_fda_btTuned flexible discriminant analysis results
- 143.shinymodels::two_class_finalTest set results for logistic regression
- 144.sparsediscrim::two_class_sim_dataExample bivariate classification data from caret
- 145.sparseLDA::penicilliumYESData set of three species of Penicillium fungi
- 146.stacks::class_foldsExample Objects
- 147.stacks::class_res_nnExample Objects
- 148.stacks::class_res_rfExample Objects
- 149.stacks::log_res_nnExample Objects
- 150.stacks::log_res_rfExample Objects
- 151.stacks::reg_foldsExample Objects
- 152.stacks::reg_res_lrExample Objects
- 153.stacks::reg_res_spExample Objects
- 154.stacks::reg_res_svmExample Objects
- 155.stacks::tree_frogsTree frog embryo hatching data
- 156.stacks::tree_frogs_class_testExample Objects
- 157.stacks::tree_frogs_reg_testExample Objects
- 158.tidyposterior::concrete_exampleExample Data Sets
- 159.tidyposterior::contrast_samplesExample Data Sets
- 160.tidyposterior::noisy_exampleExample Data Sets
- 161.tidyposterior::posterior_samplesExample Data Sets
- 162.tidyposterior::precise_exampleExample Data Sets
- 163.tidyposterior::ts_exampleExample Data Sets
- 164.tune::ames_grid_searchExample Analysis of Ames Housing Data
- 165.tune::ames_iter_searchExample Analysis of Ames Housing Data
- 166.tune::ames_wflowExample Analysis of Ames Housing Data