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37 Data Sets

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

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

3. Amphibians: The dataset is a multilabel classification problem. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images

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

5. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”.

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. Nasarian CAD Dataset: This dataset comprises records of 150 subjects (all male employees in Iran have visited the Abadan Occupational (Industrial) Medicine Clinic) and 52 features.

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

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

11. Refractive errors: Effect of life style and genetic on eye refractive errors.

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

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

14. Primary Tumor: From Ljubljana Oncology Institute

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

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

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

18. Zoo: Artificial, 7 classes of animals

19. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

20. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.

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. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis.

23. Z-Alizadeh Sani: It was collected for CAD diagnosis.

24. HCC Survival: Hepatocellular Carcinoma dataset (HCC dataset) was collected at a University Hospital in Portugal. It contains real clinical data of 165 patients diagnosed with HCC.

25. Parkinsons: Oxford Parkinson's Disease Detection Dataset

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

27. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

28. Parkinson Dataset with replicated acoustic features : Contains acoustic features extracted from 3 voice recording replications of the sustained /a/ phonation for each one of the 80 subjects (40 of them with Parkinson's Disease).

29. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.

30. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age.

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

32. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria.

33. Bone marrow transplant: children: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation.

34. Early biomarkers of Parkinsons disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease.

35. QSAR Bioconcentration classes dataset: Dataset of manually-curated Bioconcentration factor (BCF, fish) and mechanistic classes for QSAR modeling.

36. Heart failure clinical records: This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

37. Hungarian Chickenpox Cases: A spatio-temporal dataset of weekly chickenpox cases from Hungary. The dataset consists of a county-level adjacency matrix and time series of the county-level reported cases between 2005 and 2015.


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