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29 Data Sets

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

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

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

4. 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

5. Primary Tumor: From Ljubljana Oncology Institute

6. Zoo: Artificial, 7 classes of animals

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

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

9. Mushroom: From Audobon Society Field Guide; mushrooms described in terms of physical characteristics; classification: poisonous or edible

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

11. Parkinsons: Oxford Parkinson's Disease Detection Dataset

12. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians.

13. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.

14. Parkinsons Telemonitoring: Oxford Parkinson's Disease Telemonitoring Dataset

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

16. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.

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

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

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

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

21. Soybean (Small): Michalski's famous soybean disease database

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

23. Sponge: Data on sponges; Attributes in spanish

24. Covertype: Forest CoverType dataset

25. Lung Cancer: Lung cancer data; no attribute definitions

26. Molecular Biology (Promoter Gene Sequences): E. Coli promoter gene sequences (DNA) with partial domain theory

27. Molecular Biology (Splice-junction Gene Sequences): Primate splice-junction gene sequences (DNA) with associated imperfect domain theory

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

29. Plants: Data has been extracted from the USDA plants database. It contains all plants (species and genera) in the database and the states of USA and Canada where they occur.


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