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 (7)
Regression (0)
Clustering (0)
Other (0)

Attribute Type - Undo

Categorical (5)
Numerical (12)
Mixed (7)

Data Type - Undo

Multivariate (7)
Univariate (0)
Sequential (0)
Time-Series (0)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (7)
Physical Sciences (2)
CS / Engineering (0)
Social Sciences (0)
Business (3)
Game (0)
Other (4)

# Attributes - Undo

Less than 10 (1)
10 to 100 (7)
Greater than 100 (1)

# Instances - Undo

Less than 100 (0)
100 to 1000 (7)
Greater than 1000 (2)

Format Type

Matrix (6)
Non-Matrix (1)

7 Data Sets

Table View  List View


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

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

3. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach

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

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

6. Zoo: Artificial, 7 classes of animals

7. 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


Supported By:

 In Collaboration With:

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