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- 1.applicable::ames_newRecent Ames Iowa Houses
- 2.applicable::binary_trBinary QSAR Data
- 3.applicable::binary_unkBinary QSAR Data
- 4.applicable::okc_binary_testOkCupid Binary Predictors
- 5.applicable::okc_binary_trainOkCupid Binary Predictors
- 6.censored::time_to_millionNumber of days before a movie grosses $1M USD
- 7.desirability2::classification_resultsClassification results
- 8.discrim::parabolicParabolic class boundary data
- 9.embed::solubilityCompound solubility data
- 10.filtro::ames_scores_resultsAmes exampled score results
- 11.hardhat::example_testExample data for hardhat
- 12.hardhat::example_trainExample data for hardhat
- 13.infer::gssSubset of data from the General Social Survey (GSS).
- 14.lime::stop_words_sentencesStop words list
- 15.lime::test_sentencesSentence corpus - test part
- 16.lime::train_sentencesSentence corpus - train part
- 17.modeldata::ad_dataAlzheimer's disease data
- 18.modeldata::amesAmes Housing Data
- 19.modeldata::attritionJob attrition
- 20.modeldata::biomassBiomass data
- 21.modeldata::bivariate_testExample bivariate classification data
- 22.modeldata::bivariate_trainExample bivariate classification data
- 23.modeldata::bivariate_valExample bivariate classification data
- 24.modeldata::car_pricesKelly Blue Book resale data for 2005 model year GM cars
- 25.modeldata::cat_adoptionCat Adoption
- 26.modeldata::cellsCell body segmentation
- 27.modeldata::check_timesExecution time data
- 28.modeldata::chem_proc_yieldChemical manufacturing process data set
- 29.modeldata::ChicagoChicago ridership data
- 30.modeldata::cls_data_2026Two classes, Two predictors 2026 Edition
- 31.modeldata::concreteCompressive strength of concrete mixtures
- 32.modeldata::coversRaw cover type data
- 33.modeldata::credit_dataCredit data
- 34.modeldata::cricketsRates of Cricket Chirps
- 35.modeldata::deliveriesFood Delivery Time Data
- 36.modeldata::drinksSample time series data
- 37.modeldata::grants_2008Grant acceptance data
- 38.modeldata::grants_otherGrant acceptance data
- 39.modeldata::grants_testGrant acceptance data
- 40.modeldata::hepatic_injury_qsarPredicting hepatic injury from chemical information
- 41.modeldata::hotel_ratesDaily Hotel Rate Data
- 42.modeldata::hpc_cvClass probability predictions
- 43.modeldata::hpc_dataHigh-performance computing system data
- 44.modeldata::ischemic_strokeClinical data used to predict ischemic stroke
- 45.modeldata::leaf_id_flaviaLeaf identification data (Flavia)
- 46.modeldata::lending_clubLoan data
- 47.modeldata::meatsFat, water and protein content of meat samples
- 48.modeldata::mlc_churnCustomer churn data
- 49.modeldata::oilsFatty acid composition of commercial oils
- 50.modeldata::parabolicParabolic class boundary data
- 51.modeldata::pathologyLiver pathology data
- 52.modeldata::pd_speechParkinson's disease speech classification data set
- 53.modeldata::penguinsPalmer Station penguin data
- 54.modeldata::permeability_qsarPredicting permeability from chemical information
- 55.modeldata::SacramentoSacramento CA home prices
- 56.modeldata::scatMorphometric data on scat
- 57.modeldata::SmithsonianSmithsonian museums
- 58.modeldata::solubility_testSolubility predictions from MARS model
- 59.modeldata::stackoverflowAnnual Stack Overflow Developer Survey Data
- 60.modeldata::stationsChicago ridership data
- 61.modeldata::steroidogenic_toxicityPredicting steroidogenic toxicity with assay data
- 62.modeldata::tate_textTate Gallery modern artwork metadata
- 63.modeldata::taxiChicago taxi data set
- 64.modeldata::testing_dataFine foods example data
- 65.modeldata::training_dataFine foods example data
- 66.modeldata::two_class_datTwo class data
- 67.modeldata::two_class_exampleTwo class predictions
- 68.modeldata::wa_churnWatson churn data
- 69.modeldatatoo::building_complaintsNYC Building Complaints
- 70.multilevelmod::longitudinal_countsSimulated longitudinal Poisson counts
- 71.multilevelmod::msa_dataMeasurement systems analysis data
- 72.multilevelmod::riesbyImipramine longitudinal data
- 73.parsnip::model_dbparsnip model specification database
- 74.poissonreg::seniorsAlcohol, Cigarette, and Marijuana Use for High School Seniors
- 75.probably::boosting_predictions_oobBoosted regression trees predictions
- 76.probably::boosting_predictions_testBoosted regression trees predictions
- 77.probably::segment_logisticImage segmentation predictions
- 78.probably::segment_naive_bayesImage segmentation predictions
- 79.probably::species_probsPredictions on animal species
- 80.shinymodels::ames_mlp_itrIterative optimization of neural network
- 81.shinymodels::cars_bag_vfldResampled bagged tree results
- 82.shinymodels::cell_raceA CART classification tree tuned via racing
- 83.shinymodels::scat_fda_btTuned flexible discriminant analysis results
- 84.shinymodels::two_class_finalTest set results for logistic regression
- 85.spatialsample::boston_canopyBoston tree canopy and heat index data.
- 86.stacks::class_foldsExample Objects
- 87.stacks::class_res_nnExample Objects
- 88.stacks::class_res_rfExample Objects
- 89.stacks::log_res_nnExample Objects
- 90.stacks::log_res_rfExample Objects
- 91.stacks::reg_foldsExample Objects
- 92.stacks::reg_res_lrExample Objects
- 93.stacks::reg_res_spExample Objects
- 94.stacks::reg_res_svmExample Objects
- 95.stacks::tree_frogsTree frog embryo hatching data
- 96.stacks::tree_frogs_class_testExample Objects
- 97.stacks::tree_frogs_reg_testExample Objects
- 98.textrecipes::emoji_samplesSample sentences with emojis
- 99.themis::circle_exampleSynthetic Dataset With a Circle
- 100.tidyposterior::concrete_exampleExample Data Sets
- 101.tidyposterior::contrast_samplesExample Data Sets
- 102.tidyposterior::noisy_exampleExample Data Sets
- 103.tidyposterior::posterior_samplesExample Data Sets
- 104.tidyposterior::precise_exampleExample Data Sets
- 105.tidyposterior::ts_exampleExample Data Sets
- 106.tune::ames_grid_searchExample Analysis of Ames Housing Data
- 107.tune::ames_iter_searchExample Analysis of Ames Housing Data
- 108.tune::ames_wflowExample Analysis of Ames Housing Data
- 109.workflowsets::chi_features_resChicago Features Example Data
- 110.workflowsets::chi_features_setChicago Features Example Data
- 111.workflowsets::two_class_resTwo Class Example Data
- 112.workflowsets::two_class_setTwo Class Example Data
- 113.yardstick::hpc_cvMulticlass Probability Predictions
- 114.yardstick::lung_survSurvival Analysis Results
- 115.yardstick::pathologyLiver Pathology Data
- 116.yardstick::solubility_testSolubility Predictions from MARS Model
- 117.yardstick::two_class_exampleTwo Class Predictions