1. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 2. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 3. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 4. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease. 5. Primary Tumor: From Ljubljana Oncology Institute 6. Soybean (Large): Michalski's famous soybean disease database 7. 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 8. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 9. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 10. Audiology (Standardized): Standardized version of the original audiology database 11. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 12. Parkinsons: Oxford Parkinson's Disease Detection Dataset 13. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 14. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access) 15. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack 16. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 17. Zoo: Artificial, 7 classes of animals | 
