Package index • modeldata

All functions

Chicago stations: Chicago ridership data

Sacramento: Sacramento CA home prices

Smithsonian: Smithsonian museums

ad_data: Alzheimer's disease data

ames: Ames Housing Data

attrition: Job attrition

biomass: Biomass data

bivariate bivariate_train bivariate_test bivariate_val: Example bivariate classification data

car_prices: Kelly Blue Book resale data for 2005 model year GM cars

cat_adoption: Cat Adoption

cells: Cell body segmentation

check_times: Execution time data

chem_proc_yield: Chemical manufacturing process data set

concrete: Compressive strength of concrete mixtures

covers: Raw cover type data

credit_data: Credit data

crickets: Rates of Cricket Chirps

deliveries: Food Delivery Time Data

drinks: Sample time series data

grants grants_other grants_test grants_2008: Grant acceptance data

hepatic_injury_qsar: Predicting hepatic injury from chemical information

hotel_rates: Daily Hotel Rate Data

hpc_cv: Class probability predictions

hpc_data: High-performance computing system data

ischemic_stroke: Clinical data used to predict ischemic stroke

leaf_id_flavia: Leaf identification data (Flavia)

lending_club: Loan data

meats: Fat, water and protein content of meat samples

mlc_churn: Customer churn data

oils: Fatty acid composition of commercial oils

parabolic: Parabolic class boundary data

pathology: Liver pathology data

pd_speech: Parkinson's disease speech classification data set

penguins: Palmer Station penguin data

permeability_qsar: Predicting permeability from chemical information

scat: Morphometric data on scat

sim_classification() sim_regression() sim_noise() sim_logistic() sim_multinomial(): Simulate datasets

small_fine_foods training_data testing_data: Fine foods example data

solubility_test: Solubility predictions from MARS model

stackoverflow: Annual Stack Overflow Developer Survey Data

steroidogenic_toxicity: Predicting steroidogenic toxicity with assay data

tate_text: Tate Gallery modern artwork metadata

taxi: Chicago taxi data set

two_class_dat: Two class data

two_class_example: Two class predictions

wa_churn: Watson churn data