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9 Data Sets

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1. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease.

2. Zoo: Artificial, 7 classes of animals

3. Acute Inflammations: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system.

4. Arrhythmia: Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups.

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. 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