Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task - Undo

Classification (20)
Regression (2)
Clustering (0)
Other (0)

Attribute Type

Categorical (5)
Numerical (9)
Mixed (6)

Data Type - Undo

Multivariate (20)
Univariate (0)
Sequential (1)
Time-Series (0)
Text (0)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (20)
Physical Sciences (7)
CS / Engineering (3)
Social Sciences (2)
Business (3)
Game (0)
Other (7)

# Attributes - Undo

Less than 10 (9)
10 to 100 (20)
Greater than 100 (5)

# Instances - Undo

Less than 100 (2)
100 to 1000 (20)
Greater than 1000 (10)

Format Type - Undo

Matrix (20)
Non-Matrix (5)

20 Data Sets

Table View  List View


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

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

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

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

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

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

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

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

9. Primary Tumor: From Ljubljana Oncology Institute

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

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

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

13. Zoo: Artificial, 7 classes of animals

14. 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.

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

16. 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

17. Parkinsons: Oxford Parkinson's Disease Detection Dataset

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

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

20. Early biomarkers of Parkinson’s 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.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML