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. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach 7. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 8. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 9. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access) 10. Primary Tumor: From Ljubljana Oncology Institute 11. Soybean (Large): Michalski's famous soybean disease database 12. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 13. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 14. Zoo: Artificial, 7 classes of animals 15. 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 16. Parkinsons: Oxford Parkinson's Disease Detection Dataset 17. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 18. ILPD (Indian Liver Patient Dataset): This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos. 19. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 20. Fertility: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits |