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

Classification (5)
Regression (4)
Clustering (0)
Other (1)

Attribute Type

Categorical (1)
Numerical (5)
Mixed (2)

Data Type - Undo

Multivariate (9)
Univariate (2)
Sequential (0)
Time-Series (1)
Text (2)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (36)
Physical Sciences (13)
CS / Engineering (9)
Social Sciences (3)
Business (5)
Game (1)
Other (12)

# Attributes

Less than 10 (5)
10 to 100 (2)
Greater than 100 (2)

# Instances - Undo

Less than 100 (0)
100 to 1000 (9)
Greater than 1000 (25)

Format Type

Matrix (6)
Non-Matrix (3)

9 Data Sets

Table View  List View


1. Concrete Slump Test: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients.

2. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.

3. Restaurant & consumer data: The dataset was obtained from a recommender system prototype. The task was to generate a top-n list of restaurants according to the consumer preferences.

4. Servo: Data was from a simulation of a servo system

5. Computer Hardware: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc.

6. Mechanical Analysis: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results

7. Syskill and Webert Web Page Ratings: This database contains HTML source of web pages plus the ratings of a single user on these web pages. Web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)

8. PEMS-SF: 15 months worth of daily data (440 daily records) that describes the occupancy rate, between 0 and 1, of different car lanes of the San Francisco bay area freeways across time.

9. Energy efficiency: This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters.


Supported By:

 In Collaboration With:

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