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/core/openml-datasets/
https://datahub.io/core/openml-datasets/_r/-/FRESHNESS_CHECK.md
https://datahub.io/core/openml-datasets/_r/-/README.md
https://datahub.io/core/openml-datasets/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/core/openml-datasets/_r/-/data/Bioresponse/Bioresponse.arff
https://datahub.io/core/openml-datasets/_r/-/data/Bioresponse/Bioresponse.csv
https://datahub.io/core/openml-datasets/_r/-/data/Bioresponse/README.md
https://datahub.io/core/openml-datasets/_r/-/data/Bioresponse/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/Click_prediction_small/Click_prediction_small.arff
https://datahub.io/core/openml-datasets/_r/-/data/Click_prediction_small/Click_prediction_small.csv
https://datahub.io/core/openml-datasets/_r/-/data/Click_prediction_small/README.md
https://datahub.io/core/openml-datasets/_r/-/data/Click_prediction_small/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/IMDB.drama/IMDB.drama.arff
https://datahub.io/core/openml-datasets/_r/-/data/IMDB.drama/IMDB.drama.csv
https://datahub.io/core/openml-datasets/_r/-/data/IMDB.drama/README.md
https://datahub.io/core/openml-datasets/_r/-/data/IMDB.drama/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/MagicTelescope/MagicTelescope.arff
https://datahub.io/core/openml-datasets/_r/-/data/MagicTelescope/MagicTelescope.csv
https://datahub.io/core/openml-datasets/_r/-/data/MagicTelescope/README.md
https://datahub.io/core/openml-datasets/_r/-/data/MagicTelescope/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/Satellite/README.md
https://datahub.io/core/openml-datasets/_r/-/data/Satellite/Satellite.arff
https://datahub.io/core/openml-datasets/_r/-/data/Satellite/Satellite.csv
https://datahub.io/core/openml-datasets/_r/-/data/Satellite/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/SpeedDating/README.md
https://datahub.io/core/openml-datasets/_r/-/data/SpeedDating/SpeedDating.arff
https://datahub.io/core/openml-datasets/_r/-/data/SpeedDating/SpeedDating.csv
https://datahub.io/core/openml-datasets/_r/-/data/SpeedDating/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/abalone/README.md
https://datahub.io/core/openml-datasets/_r/-/data/abalone/abalone.arff
https://datahub.io/core/openml-datasets/_r/-/data/abalone/abalone.csv
https://datahub.io/core/openml-datasets/_r/-/data/abalone/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/adult/README.md
https://datahub.io/core/openml-datasets/_r/-/data/adult/adult.arff
https://datahub.io/core/openml-datasets/_r/-/data/adult/adult.csv
https://datahub.io/core/openml-datasets/_r/-/data/adult/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/airlines/README.md
https://datahub.io/core/openml-datasets/_r/-/data/airlines/airlines.arff
https://datahub.io/core/openml-datasets/_r/-/data/airlines/airlines.csv
https://datahub.io/core/openml-datasets/_r/-/data/airlines/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/amazon-commerce-reviews/README.md
https://datahub.io/core/openml-datasets/_r/-/data/amazon-commerce-reviews/amazon-commerce-reviews.arff
https://datahub.io/core/openml-datasets/_r/-/data/amazon-commerce-reviews/amazon-commerce-reviews.csv
https://datahub.io/core/openml-datasets/_r/-/data/amazon-commerce-reviews/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/anneal/README.md
https://datahub.io/core/openml-datasets/_r/-/data/anneal/anneal.arff
https://datahub.io/core/openml-datasets/_r/-/data/anneal/anneal.csv
https://datahub.io/core/openml-datasets/_r/-/data/anneal/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/arrhythmia/README.md
https://datahub.io/core/openml-datasets/_r/-/data/arrhythmia/arrhythmia.arff
https://datahub.io/core/openml-datasets/_r/-/data/arrhythmia/arrhythmia.csv
https://datahub.io/core/openml-datasets/_r/-/data/arrhythmia/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/autoUniv-au6-1000/README.md
https://datahub.io/core/openml-datasets/_r/-/data/autoUniv-au6-1000/autoUniv-au6-1000.arff
https://datahub.io/core/openml-datasets/_r/-/data/autoUniv-au6-1000/autoUniv-au6-1000.csv
https://datahub.io/core/openml-datasets/_r/-/data/autoUniv-au6-1000/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/autos/README.md
https://datahub.io/core/openml-datasets/_r/-/data/autos/autos.arff
https://datahub.io/core/openml-datasets/_r/-/data/autos/autos.csv
https://datahub.io/core/openml-datasets/_r/-/data/autos/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/bank-marketing/README.md
https://datahub.io/core/openml-datasets/_r/-/data/bank-marketing/bank-marketing.arff
https://datahub.io/core/openml-datasets/_r/-/data/bank-marketing/bank-marketing.csv
https://datahub.io/core/openml-datasets/_r/-/data/bank-marketing/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/banknote-authentication/README.md
https://datahub.io/core/openml-datasets/_r/-/data/banknote-authentication/banknote-authentication.arff
https://datahub.io/core/openml-datasets/_r/-/data/banknote-authentication/banknote-authentication.csv
https://datahub.io/core/openml-datasets/_r/-/data/banknote-authentication/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/blood-transfusion-service-center/README.md
https://datahub.io/core/openml-datasets/_r/-/data/blood-transfusion-service-center/blood-transfusion-service-center.arff
https://datahub.io/core/openml-datasets/_r/-/data/blood-transfusion-service-center/blood-transfusion-service-center.csv
https://datahub.io/core/openml-datasets/_r/-/data/blood-transfusion-service-center/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/breast-cancer/README.md
https://datahub.io/core/openml-datasets/_r/-/data/breast-cancer/breast-cancer.arff
https://datahub.io/core/openml-datasets/_r/-/data/breast-cancer/breast-cancer.csv
https://datahub.io/core/openml-datasets/_r/-/data/breast-cancer/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/breast-w/README.md
https://datahub.io/core/openml-datasets/_r/-/data/breast-w/breast-w.arff
https://datahub.io/core/openml-datasets/_r/-/data/breast-w/breast-w.csv
https://datahub.io/core/openml-datasets/_r/-/data/breast-w/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/cardiotocography/README.md
https://datahub.io/core/openml-datasets/_r/-/data/cardiotocography/cardiotocography.arff
https://datahub.io/core/openml-datasets/_r/-/data/cardiotocography/cardiotocography.csv
https://datahub.io/core/openml-datasets/_r/-/data/cardiotocography/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/climate-model-simulation-crashes/README.md
https://datahub.io/core/openml-datasets/_r/-/data/climate-model-simulation-crashes/climate-model-simulation-crashes.arff
https://datahub.io/core/openml-datasets/_r/-/data/climate-model-simulation-crashes/climate-model-simulation-crashes.csv
https://datahub.io/core/openml-datasets/_r/-/data/climate-model-simulation-crashes/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/cmc/README.md
https://datahub.io/core/openml-datasets/_r/-/data/cmc/cmc.arff
https://datahub.io/core/openml-datasets/_r/-/data/cmc/cmc.csv
https://datahub.io/core/openml-datasets/_r/-/data/cmc/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/credit-approval/README.md
https://datahub.io/core/openml-datasets/_r/-/data/credit-approval/credit-approval.arff
https://datahub.io/core/openml-datasets/_r/-/data/credit-approval/credit-approval.csv
https://datahub.io/core/openml-datasets/_r/-/data/credit-approval/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/credit-g/README.md
https://datahub.io/core/openml-datasets/_r/-/data/credit-g/credit-g.arff
https://datahub.io/core/openml-datasets/_r/-/data/credit-g/credit-g.csv
https://datahub.io/core/openml-datasets/_r/-/data/credit-g/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/diabetes/README.md
https://datahub.io/core/openml-datasets/_r/-/data/diabetes/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/diabetes/diabetes.arff
https://datahub.io/core/openml-datasets/_r/-/data/diabetes/diabetes.csv
https://datahub.io/core/openml-datasets/_r/-/data/eeg-eye-state/README.md
https://datahub.io/core/openml-datasets/_r/-/data/eeg-eye-state/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/eeg-eye-state/eeg-eye-state.arff
https://datahub.io/core/openml-datasets/_r/-/data/eeg-eye-state/eeg-eye-state.csv
https://datahub.io/core/openml-datasets/_r/-/data/electricity/README.md
https://datahub.io/core/openml-datasets/_r/-/data/electricity/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/electricity/electricity.arff
https://datahub.io/core/openml-datasets/_r/-/data/electricity/electricity.csv
https://datahub.io/core/openml-datasets/_r/-/data/fbis.wc/README.md
https://datahub.io/core/openml-datasets/_r/-/data/fbis.wc/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/fbis.wc/fbis.wc.arff
https://datahub.io/core/openml-datasets/_r/-/data/fbis.wc/fbis.wc.csv
https://datahub.io/core/openml-datasets/_r/-/data/first-order-theorem-proving/README.md
https://datahub.io/core/openml-datasets/_r/-/data/first-order-theorem-proving/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/first-order-theorem-proving/first-order-theorem-proving.arff
https://datahub.io/core/openml-datasets/_r/-/data/first-order-theorem-proving/first-order-theorem-proving.csv
https://datahub.io/core/openml-datasets/_r/-/data/gas-drift/README.md
https://datahub.io/core/openml-datasets/_r/-/data/gas-drift/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/gas-drift/gas-drift.arff
https://datahub.io/core/openml-datasets/_r/-/data/gas-drift/gas-drift.csv
https://datahub.io/core/openml-datasets/_r/-/data/gina_agnostic/README.md
https://datahub.io/core/openml-datasets/_r/-/data/gina_agnostic/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/gina_agnostic/gina_agnostic.arff
https://datahub.io/core/openml-datasets/_r/-/data/gina_agnostic/gina_agnostic.csv
https://datahub.io/core/openml-datasets/_r/-/data/gina_prior2/README.md
https://datahub.io/core/openml-datasets/_r/-/data/gina_prior2/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/gina_prior2/gina_prior2.arff
https://datahub.io/core/openml-datasets/_r/-/data/gina_prior2/gina_prior2.csv
https://datahub.io/core/openml-datasets/_r/-/data/glass/README.md
https://datahub.io/core/openml-datasets/_r/-/data/glass/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/glass/glass.arff
https://datahub.io/core/openml-datasets/_r/-/data/glass/glass.csv
https://datahub.io/core/openml-datasets/_r/-/data/haberman/README.md
https://datahub.io/core/openml-datasets/_r/-/data/haberman/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/haberman/haberman.arff
https://datahub.io/core/openml-datasets/_r/-/data/haberman/haberman.csv
https://datahub.io/core/openml-datasets/_r/-/data/heart-statlog/README.md
https://datahub.io/core/openml-datasets/_r/-/data/heart-statlog/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/heart-statlog/heart-statlog.arff
https://datahub.io/core/openml-datasets/_r/-/data/heart-statlog/heart-statlog.csv
https://datahub.io/core/openml-datasets/_r/-/data/hill-valley/README.md
https://datahub.io/core/openml-datasets/_r/-/data/hill-valley/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/hill-valley/hill-valley.arff
https://datahub.io/core/openml-datasets/_r/-/data/hill-valley/hill-valley.csv
https://datahub.io/core/openml-datasets/_r/-/data/ilpd/README.md
https://datahub.io/core/openml-datasets/_r/-/data/ilpd/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/ilpd/ilpd.arff
https://datahub.io/core/openml-datasets/_r/-/data/ilpd/ilpd.csv
https://datahub.io/core/openml-datasets/_r/-/data/ionosphere/README.md
https://datahub.io/core/openml-datasets/_r/-/data/ionosphere/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/ionosphere/ionosphere.arff
https://datahub.io/core/openml-datasets/_r/-/data/ionosphere/ionosphere.csv
https://datahub.io/core/openml-datasets/_r/-/data/iris/README.md
https://datahub.io/core/openml-datasets/_r/-/data/iris/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/iris/iris.arff
https://datahub.io/core/openml-datasets/_r/-/data/iris/iris.csv
https://datahub.io/core/openml-datasets/_r/-/data/isolet/README.md
https://datahub.io/core/openml-datasets/_r/-/data/isolet/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/isolet/isolet.arff
https://datahub.io/core/openml-datasets/_r/-/data/isolet/isolet.csv
https://datahub.io/core/openml-datasets/_r/-/data/jm1/README.md
https://datahub.io/core/openml-datasets/_r/-/data/jm1/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/jm1/jm1.arff
https://datahub.io/core/openml-datasets/_r/-/data/jm1/jm1.csv
https://datahub.io/core/openml-datasets/_r/-/data/kc1/README.md
https://datahub.io/core/openml-datasets/_r/-/data/kc1/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/kc1/kc1.arff
https://datahub.io/core/openml-datasets/_r/-/data/kc1/kc1.csv
https://datahub.io/core/openml-datasets/_r/-/data/kc2/README.md
https://datahub.io/core/openml-datasets/_r/-/data/kc2/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/kc2/kc2.arff
https://datahub.io/core/openml-datasets/_r/-/data/kc2/kc2.csv
https://datahub.io/core/openml-datasets/_r/-/data/kr-vs-kp/README.md
https://datahub.io/core/openml-datasets/_r/-/data/kr-vs-kp/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/kr-vs-kp/kr-vs-kp.arff
https://datahub.io/core/openml-datasets/_r/-/data/kr-vs-kp/kr-vs-kp.csv
https://datahub.io/core/openml-datasets/_r/-/data/kropt/README.md
https://datahub.io/core/openml-datasets/_r/-/data/kropt/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/kropt/kropt.arff
https://datahub.io/core/openml-datasets/_r/-/data/kropt/kropt.csv
https://datahub.io/core/openml-datasets/_r/-/data/letter/README.md
https://datahub.io/core/openml-datasets/_r/-/data/letter/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/letter/letter.arff
https://datahub.io/core/openml-datasets/_r/-/data/letter/letter.csv
https://datahub.io/core/openml-datasets/_r/-/data/liver-disorders/README.md
https://datahub.io/core/openml-datasets/_r/-/data/liver-disorders/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/liver-disorders/liver-disorders.arff
https://datahub.io/core/openml-datasets/_r/-/data/liver-disorders/liver-disorders.csv
https://datahub.io/core/openml-datasets/_r/-/data/lung-cancer/README.md
https://datahub.io/core/openml-datasets/_r/-/data/lung-cancer/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/lung-cancer/lung-cancer.arff
https://datahub.io/core/openml-datasets/_r/-/data/lung-cancer/lung-cancer.csv
https://datahub.io/core/openml-datasets/_r/-/data/lymph/README.md
https://datahub.io/core/openml-datasets/_r/-/data/lymph/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/lymph/lymph.arff
https://datahub.io/core/openml-datasets/_r/-/data/lymph/lymph.csv
https://datahub.io/core/openml-datasets/_r/-/data/madelon/README.md
https://datahub.io/core/openml-datasets/_r/-/data/madelon/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/madelon/madelon.arff
https://datahub.io/core/openml-datasets/_r/-/data/madelon/madelon.csv
https://datahub.io/core/openml-datasets/_r/-/data/mammography/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mammography/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mammography/mammography.arff
https://datahub.io/core/openml-datasets/_r/-/data/mammography/mammography.csv
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-factors/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-factors/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-factors/mfeat-factors.arff
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-factors/mfeat-factors.csv
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-karhunen/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-karhunen/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-karhunen/mfeat-karhunen.arff
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-karhunen/mfeat-karhunen.csv
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-morphological/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-morphological/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-morphological/mfeat-morphological.arff
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-morphological/mfeat-morphological.csv
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-pixel/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-pixel/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-pixel/mfeat-pixel.arff
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-pixel/mfeat-pixel.csv
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-zernike/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-zernike/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-zernike/mfeat-zernike.arff
https://datahub.io/core/openml-datasets/_r/-/data/mfeat-zernike/mfeat-zernike.csv
https://datahub.io/core/openml-datasets/_r/-/data/mozilla4/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mozilla4/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mozilla4/mozilla4.arff
https://datahub.io/core/openml-datasets/_r/-/data/mozilla4/mozilla4.csv
https://datahub.io/core/openml-datasets/_r/-/data/mushroom/README.md
https://datahub.io/core/openml-datasets/_r/-/data/mushroom/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/mushroom/mushroom.arff
https://datahub.io/core/openml-datasets/_r/-/data/mushroom/mushroom.csv
https://datahub.io/core/openml-datasets/_r/-/data/musk/README.md
https://datahub.io/core/openml-datasets/_r/-/data/musk/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/musk/musk.arff
https://datahub.io/core/openml-datasets/_r/-/data/musk/musk.csv
https://datahub.io/core/openml-datasets/_r/-/data/nursery/README.md
https://datahub.io/core/openml-datasets/_r/-/data/nursery/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/nursery/nursery.arff
https://datahub.io/core/openml-datasets/_r/-/data/nursery/nursery.csv
https://datahub.io/core/openml-datasets/_r/-/data/oil_spill/README.md
https://datahub.io/core/openml-datasets/_r/-/data/oil_spill/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/oil_spill/oil_spill.arff
https://datahub.io/core/openml-datasets/_r/-/data/oil_spill/oil_spill.csv
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-shape/README.md
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-shape/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-shape/one-hundred-plants-shape.arff
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-shape/one-hundred-plants-shape.csv
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-texture/README.md
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-texture/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-texture/one-hundred-plants-texture.arff
https://datahub.io/core/openml-datasets/_r/-/data/one-hundred-plants-texture/one-hundred-plants-texture.csv
https://datahub.io/core/openml-datasets/_r/-/data/optdigits/README.md
https://datahub.io/core/openml-datasets/_r/-/data/optdigits/datapackage.json
https://datahub.io/core/openml-datasets/_r/-/data/optdigits/optdigits.arff
https://datahub.io/core/openml-datasets/_r/-/data/optdigits/optdigits.csv
https://datahub.io/core/openml-datasets/_r/-/data/page-blocks/README.md
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Key Files

Start with these files — they give you everything you need to understand and access the dataset.

https://datahub.io/core/openml-datasets/_r/-/data/Bioresponse/datapackage.json
README.mddocumentation
https://datahub.io/core/openml-datasets/_r/-/README.md
Typical Usage
  1. 1. Fetch data/Bioresponse/datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in data/Bioresponse/datapackage.json
  3. 3. Read README.md for full context

Data Previews

cardiotocography

Unsupported data preview format `arff`

cardiotocography

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Schema

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Data Files

FileDescriptionSizeLast modifiedDownload
cardiotocography
211 kB3 months ago
cardiotocography
cardiotocography
209 kB3 months ago
cardiotocography
FilesSizeFormatCreatedUpdatedLicenseSource
2420 kBarff, csvabout 2 months agoOpen Data Commons Public Domain Dedication and License

The resources for this dataset can be found at https://www.openml.org/d/1466

Author: J. P. Marques de Sá, J. Bernardes, D. Ayers de Campos.
Source: UCI
Please cite: Ayres de Campos et al. (2000) SisPorto 2.0 A Program for Automated Analysis of Cardiotocograms. J Matern Fetal Med 5:311-318, UCI

2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. Classification was both with respect to a morphologic pattern (A, B, C. …) and to a fetal state (N, S, P). Therefore the dataset can be used either for 10-class or 3-class experiments.

Attribute Information:

LB - FHR baseline (beats per minute)
AC - # of accelerations per second
FM - # of fetal movements per second
UC - # of uterine contractions per second
DL - # of light decelerations per second
DS - # of severe decelerations per second
DP - # of prolongued decelerations per second
ASTV - percentage of time with abnormal short term variability
MSTV - mean value of short term variability
ALTV - percentage of time with abnormal long term variability
MLTV - mean value of long term variability
Width - width of FHR histogram
Min - minimum of FHR histogram
Max - Maximum of FHR histogram
Nmax - # of histogram peaks
Nzeros - # of histogram zeros
Mode - histogram mode
Mean - histogram mean
Median - histogram median
Variance - histogram variance
Tendency - histogram tendency
CLASS - FHR pattern class code (1 to 10)
NSP - fetal state class code (N=normal; S=suspect; P=pathologic)

Relevant Papers:

Ayres de Campos et al. (2000) SisPorto 2.0 A Program for Automated Analysis of Cardiotocograms. J Matern Fetal Med 5:311-318