1. Audiology (Standardized): Standardized version of the original audiology database
2. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database
3. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database
4. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease.
5. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack
6. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney)
7. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values
8. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access)
9. Primary Tumor: From Ljubljana Oncology Institute
10. Soybean (Large): Michalski's famous soybean disease database
11. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
12. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
13. Zoo: Artificial, 7 classes of animals
14. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.
15. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.
16. Statlog (Heart): This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form
17. Parkinsons: Oxford Parkinson's Disease Detection Dataset
18. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.
19. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database
20. Early biomarkers of Parkinson’s disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease.