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


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Browse Through:

Default Task

Classification (12)
Regression (0)
Clustering (1)
Other (2)

Attribute Type - Undo

Categorical (12)
Numerical (68)
Mixed (15)

Data Type

Multivariate (15)
Univariate (0)
Sequential (0)
Time-Series (1)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (15)
Physical Sciences (3)
CS / Engineering (5)
Social Sciences (5)
Business (3)
Game (3)
Other (11)

# Attributes

Less than 10 (6)
10 to 100 (8)
Greater than 100 (1)

# Instances

Less than 100 (2)
100 to 1000 (10)
Greater than 1000 (3)

Format Type - Undo

Matrix (15)
Non-Matrix (3)

15 Data Sets

Table View  List View


1. EEG Database: This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz

2. 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.

3. Liver Disorders: BUPA Medical Research Ltd. database donated by Richard S. Forsyth

4. Abalone: Predict the age of abalone from physical measurements

5. Post-Operative Patient: Dataset of patient features

6. Contraceptive Method Choice: Dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey.

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

8. 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

9. Zoo: Artificial, 7 classes of animals

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

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

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

13. Sponge: Data on sponges; Attributes in spanish

14. Covertype: Forest CoverType dataset

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


Supported By:

 In Collaboration With:

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