1. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 2. Glass Identification: From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc) 3. Concrete Slump Test: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients. 4. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 5. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack 6. Japanese Vowels: This dataset records 640 time series of 12 LPC cepstrum coefficients taken from nine male speakers. 7. Pittsburgh Bridges: Bridges database that has original and numeric-discretized datasets 8. Wine: Using chemical analysis determine the origin of wines 9. 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 10. Forest Fires: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: http://www.dsi.uminho.pt/~pcortez/forestfires). 11. Planning Relax: The dataset concerns with the classification of two mental stages from recorded EEG signals: Planning (during imagination of motor act) and Relax state. 12. Housing: Taken from StatLib library 13. Statlog (Australian Credit Approval): This file concerns credit card applications. This database exists elsewhere in the repository (Credit Screening Database) in a slightly different form 14. Credit Approval: This data concerns credit card applications; good mix of attributes 15. Congressional Voting Records: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat 16. Primary Tumor: From Ljubljana Oncology Institute 17. Zoo: Artificial, 7 classes of animals 18. Coil 1999 Competition Data: This data set is from the 1999 Computational Intelligence and Learning (COIL) competition. The data contains measurements of river chemical concentrations and algae densities. 19. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access) 20. Statlog (Vehicle Silhouettes): 3D objects within a 2D image by application of an ensemble of shape feature extractors to the 2D silhouettes of the objects. 21. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 22. Statlog (German Credit Data): This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix 23. Meta-data: Meta-Data was used in order to give advice about which classification method is appropriate for a particular dataset (taken from results of Statlog project). 24. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 25. Parkinsons: Oxford Parkinson's Disease Detection Dataset 26. Automobile: From 1985 Ward's Automotive Yearbook 27. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 28. Flags: From Collins Gem Guide to Flags, 1986 29. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 30. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease. 31. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 32. Ionosphere: Classification of radar returns from the ionosphere 33. Soybean (Large): Michalski's famous soybean disease database 34. Annealing: Steel annealing data 35. Water Treatment Plant: Multiple classes predict plant state 36. Cylinder Bands: Used in decision tree induction for mitigating process delays known as "cylinder bands" in rotogravure printing 37. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 38. Restaurant & consumer data: The dataset was obtained from a recommender system prototype. The task was to generate a top-n list of restaurants according to the consumer preferences. 39. Molecular Biology (Promoter Gene Sequences): E. Coli promoter gene sequences (DNA) with partial domain theory 40. Connectionist Bench (Sonar, Mines vs. Rocks): The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock. 41. Audiology (Standardized): Standardized version of the original audiology database 42. Libras Movement: The data set contains 15 classes of 24 instances each. Each class references to a hand movement type in LIBRAS (Portuguese
name 'LÍngua BRAsileira de Sinais', oficial brazilian signal language). | 
