No datasets match
  1. 1.
    applicable::ames_new
    Recent Ames Iowa Houses
  2. 2.
    applicable::binary_tr
    Binary QSAR Data
  3. 3.
    applicable::binary_unk
    Binary QSAR Data
  4. 4.
    applicable::okc_binary_test
    OkCupid Binary Predictors
  5. 5.
    applicable::okc_binary_train
    OkCupid Binary Predictors
  6. 6.
    censored::time_to_million
    Number of days before a movie grosses $1M USD
  7. 7.
    desirability2::classification_results
    Classification results
  8. 8.
    discrim::parabolic
    Parabolic class boundary data
  9. 9.
    embed::solubility
    Compound solubility data
  10. 10.
    filtro::ames_scores_results
    Ames exampled score results
  11. 11.
    hardhat::example_test
    Example data for hardhat
  12. 12.
    hardhat::example_train
    Example data for hardhat
  13. 13.
    infer::gss
    Subset of data from the General Social Survey (GSS).
  14. 14.
    lime::stop_words_sentences
    Stop words list
  15. 15.
    lime::test_sentences
    Sentence corpus - test part
  16. 16.
    lime::train_sentences
    Sentence corpus - train part
  17. 17.
    modeldata::ad_data
    Alzheimer's disease data
  18. 18.
    modeldata::ames
    Ames Housing Data
  19. 19.
    modeldata::attrition
    Job attrition
  20. 20.
    modeldata::biomass
    Biomass data
  21. 21.
    modeldata::bivariate_test
    Example bivariate classification data
  22. 22.
    modeldata::bivariate_train
    Example bivariate classification data
  23. 23.
    modeldata::bivariate_val
    Example bivariate classification data
  24. 24.
    modeldata::car_prices
    Kelly Blue Book resale data for 2005 model year GM cars
  25. 25.
    modeldata::cat_adoption
    Cat Adoption
  26. 26.
    modeldata::cells
    Cell body segmentation
  27. 27.
    modeldata::check_times
    Execution time data
  28. 28.
    modeldata::chem_proc_yield
    Chemical manufacturing process data set
  29. 29.
    modeldata::Chicago
    Chicago ridership data
  30. 30.
    modeldata::cls_data_2026
    Two classes, Two predictors 2026 Edition
  31. 31.
    modeldata::concrete
    Compressive strength of concrete mixtures
  32. 32.
    modeldata::covers
    Raw cover type data
  33. 33.
    modeldata::credit_data
    Credit data
  34. 34.
    modeldata::crickets
    Rates of Cricket Chirps
  35. 35.
    modeldata::deliveries
    Food Delivery Time Data
  36. 36.
    modeldata::drinks
    Sample time series data
  37. 37.
    modeldata::grants_2008
    Grant acceptance data
  38. 38.
    modeldata::grants_other
    Grant acceptance data
  39. 39.
    modeldata::grants_test
    Grant acceptance data
  40. 40.
    modeldata::hepatic_injury_qsar
    Predicting hepatic injury from chemical information
  41. 41.
    modeldata::hotel_rates
    Daily Hotel Rate Data
  42. 42.
    modeldata::hpc_cv
    Class probability predictions
  43. 43.
    modeldata::hpc_data
    High-performance computing system data
  44. 44.
    modeldata::ischemic_stroke
    Clinical data used to predict ischemic stroke
  45. 45.
    modeldata::leaf_id_flavia
    Leaf identification data (Flavia)
  46. 46.
    modeldata::lending_club
    Loan data
  47. 47.
    modeldata::meats
    Fat, water and protein content of meat samples
  48. 48.
    modeldata::mlc_churn
    Customer churn data
  49. 49.
    modeldata::oils
    Fatty acid composition of commercial oils
  50. 50.
    modeldata::parabolic
    Parabolic class boundary data
  51. 51.
    modeldata::pathology
    Liver pathology data
  52. 52.
    modeldata::pd_speech
    Parkinson's disease speech classification data set
  53. 53.
    modeldata::penguins
    Palmer Station penguin data
  54. 54.
    modeldata::permeability_qsar
    Predicting permeability from chemical information
  55. 55.
    modeldata::Sacramento
    Sacramento CA home prices
  56. 56.
    modeldata::scat
    Morphometric data on scat
  57. 57.
    modeldata::Smithsonian
    Smithsonian museums
  58. 58.
    modeldata::solubility_test
    Solubility predictions from MARS model
  59. 59.
    modeldata::stackoverflow
    Annual Stack Overflow Developer Survey Data
  60. 60.
    modeldata::stations
    Chicago ridership data
  61. 61.
    modeldata::steroidogenic_toxicity
    Predicting steroidogenic toxicity with assay data
  62. 62.
    modeldata::tate_text
    Tate Gallery modern artwork metadata
  63. 63.
    modeldata::taxi
    Chicago taxi data set
  64. 64.
    modeldata::testing_data
    Fine foods example data
  65. 65.
    modeldata::training_data
    Fine foods example data
  66. 66.
    modeldata::two_class_dat
    Two class data
  67. 67.
    modeldata::two_class_example
    Two class predictions
  68. 68.
    modeldata::wa_churn
    Watson churn data
  69. 69.
    modeldatatoo::building_complaints
    NYC Building Complaints
  70. 70.
    multilevelmod::longitudinal_counts
    Simulated longitudinal Poisson counts
  71. 71.
    multilevelmod::msa_data
    Measurement systems analysis data
  72. 72.
    multilevelmod::riesby
    Imipramine longitudinal data
  73. 73.
    parsnip::model_db
    parsnip model specification database
  74. 74.
    poissonreg::seniors
    Alcohol, Cigarette, and Marijuana Use for High School Seniors
  75. 75.
    probably::boosting_predictions_oob
    Boosted regression trees predictions
  76. 76.
    probably::boosting_predictions_test
    Boosted regression trees predictions
  77. 77.
    probably::segment_logistic
    Image segmentation predictions
  78. 78.
    probably::segment_naive_bayes
    Image segmentation predictions
  79. 79.
    probably::species_probs
    Predictions on animal species
  80. 80.
    shinymodels::ames_mlp_itr
    Iterative optimization of neural network
    iteration_results|5 x 6
  81. 81.
    shinymodels::cars_bag_vfld
    Resampled bagged tree results
    resample_results|10 x 5
  82. 82.
    shinymodels::cell_race
    A CART classification tree tuned via racing
    tune_race|10 x 6
  83. 83.
    shinymodels::scat_fda_bt
    Tuned flexible discriminant analysis results
    tune_results|5 x 5
  84. 84.
    shinymodels::two_class_final
    Test set results for logistic regression
    last_fit|1 x 6
  85. 85.
    spatialsample::boston_canopy
    Boston tree canopy and heat index data.
  86. 86.
    stacks::class_folds
    Example Objects
    vfold_cv|5 x 2
  87. 87.
    stacks::class_res_nn
    Example Objects
    resample_results|5 x 5
  88. 88.
    stacks::class_res_rf
    Example Objects
    tune_results|5 x 5
  89. 89.
    stacks::log_res_nn
    Example Objects
    resample_results|5 x 5
  90. 90.
    stacks::log_res_rf
    Example Objects
    tune_results|5 x 5
  91. 91.
    stacks::reg_folds
    Example Objects
    vfold_cv|5 x 2
  92. 92.
    stacks::reg_res_lr
    Example Objects
    resample_results|5 x 5
  93. 93.
    stacks::reg_res_sp
    Example Objects
    tune_results|5 x 5
  94. 94.
    stacks::reg_res_svm
    Example Objects
    tune_results|5 x 5
  95. 95.
    stacks::tree_frogs
    Tree frog embryo hatching data
  96. 96.
    stacks::tree_frogs_class_test
    Example Objects
  97. 97.
    stacks::tree_frogs_reg_test
    Example Objects
  98. 98.
    textrecipes::emoji_samples
    Sample sentences with emojis
  99. 99.
    themis::circle_example
    Synthetic Dataset With a Circle
  100. 100.
    tidyposterior::concrete_example
    Example Data Sets
  101. 101.
    tidyposterior::contrast_samples
    Example Data Sets
    posterior_diff|10000 x 4
  102. 102.
    tidyposterior::noisy_example
    Example Data Sets
  103. 103.
    tidyposterior::posterior_samples
    Example Data Sets
  104. 104.
    tidyposterior::precise_example
    Example Data Sets
  105. 105.
    tidyposterior::ts_example
    Example Data Sets
  106. 106.
    tune::ames_grid_search
    Example Analysis of Ames Housing Data
    tune_results|10 x 4
  107. 107.
    tune::ames_iter_search
    Example Analysis of Ames Housing Data
    iteration_results|110 x 5
  108. 108.
    tune::ames_wflow
    Example Analysis of Ames Housing Data
    workflow
  109. 109.
    workflowsets::chi_features_res
    Chicago Features Example Data
    workflow_set|3 x 4
  110. 110.
    workflowsets::chi_features_set
    Chicago Features Example Data
    workflow_set|3 x 4
  111. 111.
    workflowsets::two_class_res
    Two Class Example Data
    workflow_set|6 x 4
  112. 112.
    workflowsets::two_class_set
    Two Class Example Data
    workflow_set|6 x 4
  113. 113.
    yardstick::hpc_cv
    Multiclass Probability Predictions
  114. 114.
    yardstick::lung_surv
    Survival Analysis Results
    tbl_df|228 x 4
  115. 115.
    yardstick::pathology
    Liver Pathology Data
  116. 116.
    yardstick::solubility_test
    Solubility Predictions from MARS Model
  117. 117.
    yardstick::two_class_example
    Two Class Predictions