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12 Data Sets

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1. Abalone: Predict the age of abalone from physical measurements

2. 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.

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

4. Contraceptive Method Choice: Dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey.

5. Covertype: Forest CoverType dataset

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

7. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack

8. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney)

9. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values

10. Post-Operative Patient: Dataset of patient features

11. 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

12. Zoo: Artificial, 7 classes of animals


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