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 (2)
Regression (5)
Clustering (1)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (5)
Mixed (0)

Data Type

Multivariate (5)
Univariate (0)
Sequential (0)
Time-Series (1)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (2)
Physical Sciences (5)
CS / Engineering (3)
Social Sciences (0)
Business (1)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (5)
10 to 100 (1)
Greater than 100 (0)

# Instances

Less than 100 (1)
100 to 1000 (1)
Greater than 1000 (3)

Format Type

Matrix (4)
Non-Matrix (1)

5 Data Sets

Table View  List View


1. Individual household electric power consumption: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

2. Airfoil Self-Noise: NASA data set, obtained from a series of aerodynamic and acoustic tests of two and three-dimensional airfoil blade sections conducted in an anechoic wind tunnel.

3. Challenger USA Space Shuttle O-Ring: Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights

4. Concrete Compressive Strength: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients.

5. Yacht Hydrodynamics: Delft data set, used to predict the hydodynamic performance of sailing yachts from dimensions and velocity.


Supported By:

 In Collaboration With:

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