1. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis.
2. Z-Alizadeh Sani: It was collected for CAD diagnosis.
3. 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.
4. Audiology (Standardized): Standardized version of the original audiology database
5. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database
6. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database
7. 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
8. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database
9. Covertype: Forest CoverType dataset
10. Estimation of obesity levels based on eating habits and physical condition : This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition.
11. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease.
12. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria.
13. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack
14. Diabetes 130-US hospitals for years 1999-2008: This data has been prepared to analyze factors related to readmission as well as other
outcomes pertaining to patients with diabetes.
15. Parkinson Speech Dataset with Multiple Types of Sound Recordings: The training data belongs to 20 Parkinson's Disease (PD) patients and 20 healthy subjects. From all subjects, multiple types of sound recordings (26) are taken.
16. 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.
17. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney)
18. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values
19. 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.
20. Refractive errors: Effect of life style and genetic on eye refractive errors.
21. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age.
22. Lung Cancer: Lung cancer data; no attribute definitions
23. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access)
24. Mushroom: From Audobon Society Field Guide; mushrooms described in terms of physical characteristics; classification: poisonous or edible
25. Primary Tumor: From Ljubljana Oncology Institute
26. Mice Protein Expression: Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative learning.
27. Multi-view Brain Networks: Multi-layer brain network datasets derived from the resting-state electroencephalography (EEG) data.
28. Soybean (Large): Michalski's famous soybean disease database
29. Soybean (Small): Michalski's famous soybean disease database
30. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
31. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
32. Sponge: Data on sponges; Attributes in spanish
33. Zoo: Artificial, 7 classes of animals
34. 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.
35. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.
36. Early biomarkers of Parkinsonís disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson‚Äôs disease and patients at high risk developing Parkinson‚Äôs disease.
37. 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
38. Anuran Calls (MFCCs): Acoustic features extracted from syllables of anuran (frogs) calls, including the family, the genus, and the species labels (multilabel).
39. 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.
40. Parkinsons: Oxford Parkinson's Disease Detection Dataset
41. 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.
42. Parkinsons Telemonitoring: Oxford Parkinson's Disease Telemonitoring Dataset
43. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.
44. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians.
45. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.
46. 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).
47. Hepatitis C Virus (HCV) for Egyptian patients: Egyptian patients who underwent treatment dosages for HCV about 18 months. Discretization should be applied based on expert recommendations; there is an attached file shows how.
48. QSAR Bioconcentration classes dataset: Dataset of manually-curated Bioconcentration factor (BCF, fish) and mechanistic classes for QSAR modeling.
49. EEG Eye State: The data set consists of 14 EEG values and a value indicating the eye state.
50. Simulated data for survival modelling: A variety of survival data, with carefully controlled event and censor rates, is available to allow people to develop and test new approaches to survival modelling.
51. EEG Steady-State Visual Evoked Potential Signals: This database consists on 30 subjects performing Brain Computer Interface for Steady State Visual Evoked Potentials (BCI-SSVEP).
52. Divorce Predictors data set: Participants completed the ‚ÄúPersonal Information Form‚ÄĚ and ‚ÄúDivorce Predictors Scale‚ÄĚ.
53. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.
54. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.
55. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.
56. Molecular Biology (Promoter Gene Sequences): E. Coli promoter gene sequences (DNA) with partial domain theory
57. Molecular Biology (Splice-junction Gene Sequences): Primate splice-junction gene sequences (DNA) with associated imperfect domain theory
58. 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.