1. Pittsburgh Bridges: Bridges database that has original and numeric-discretized datasets 2. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease. 3. Flags: From Collins Gem Guide to Flags, 1986 4. University: Data in original (LISP-readable) form 5. Zoo: Artificial, 7 classes of animals 6. 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 7. Annealing: Steel annealing data 8. Credit Approval: This data concerns credit card applications; good mix of attributes 9. Cylinder Bands: Used in decision tree induction for mitigating process delays known as "cylinder bands" in rotogravure printing 10. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack 11. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach 12. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 13. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 14. 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). 15. 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 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 | 
