1. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 2. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 3. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack 4. 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 5. Primary Tumor: From Ljubljana Oncology Institute 6. Zoo: Artificial, 7 classes of animals 7. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access) 8. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 9. Mushroom: From Audobon Society Field Guide; mushrooms described in terms of physical characteristics; classification: poisonous or edible 10. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 11. Parkinsons: Oxford Parkinson's Disease Detection Dataset 12. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians. 13. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented. 14. Parkinsons Telemonitoring: Oxford Parkinson's Disease Telemonitoring Dataset 15. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 16. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented. 17. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 18. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease. 19. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 20. Soybean (Large): Michalski's famous soybean disease database 21. Soybean (Small): Michalski's famous soybean disease database 22. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 23. Sponge: Data on sponges; Attributes in spanish 24. Covertype: Forest CoverType dataset 25. Lung Cancer: Lung cancer data; no attribute definitions 26. Molecular Biology (Promoter Gene Sequences): E. Coli promoter gene sequences (DNA) with partial domain theory 27. Molecular Biology (Splice-junction Gene Sequences): Primate splice-junction gene sequences (DNA) with associated imperfect domain theory 28. Audiology (Standardized): Standardized version of the original audiology database 29. Plants: Data has been extracted from the USDA plants database. It contains all plants (species and genera) in the database and the states of USA and Canada where they occur. |