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30 Data Sets

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

2. Audiology (Standardized): Standardized version of the original audiology database

3. Breast Cancer: Breast Cancer Data (Restricted Access)

4. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database

5. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database

6. LSVT Voice Rehabilitation: 126 samples from 14 participants, 309 features. Aim: assess whether voice rehabilitation treatment lead to phonations considered 'acceptable' or 'unacceptable' (binary class classification problem).

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

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

9. Ecoli: This data contains protein localization sites

10. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer

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

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

13. Iris: Famous database; from Fisher, 1936

14. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access)

15. Pima Indians Diabetes: From National Institute of Diabetes and Digestive and Kidney Diseases; Includes cost data (donated by Peter Turney)

16. Primary Tumor: From Ljubljana Oncology Institute

17. Soybean (Large): Michalski's famous soybean disease database

18. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.

19. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.

20. Zoo: Artificial, 7 classes of animals

21. 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

22. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age.

23. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge.

24. Parkinsons: Oxford Parkinson's Disease Detection Dataset

25. 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.

26. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.

27. Daphnet Freezing of Gait: This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson's disease patients that experience freezing of gait (FoG) during walking tasks.

28. MicroMass: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data.

29. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes.

30. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database


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