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 - Undo

Classification (28)
Regression (12)
Clustering (11)
Other (2)

Attribute Type

Categorical (0)
Numerical (10)
Mixed (2)

Data Type - Undo

Multivariate (12)
Univariate (1)
Sequential (0)
Time-Series (1)
Text (0)
Domain-Theory (0)
Other (0)

Area

Life Sciences (0)
Physical Sciences (3)
CS / Engineering (6)
Social Sciences (0)
Business (2)
Game (0)
Other (1)

# Attributes - Undo

Less than 10 (12)
10 to 100 (19)
Greater than 100 (4)

# Instances - Undo

Less than 100 (2)
100 to 1000 (12)
Greater than 1000 (15)

Format Type - Undo

Matrix (12)
Non-Matrix (2)

12 Data Sets

Table View  List View


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

2. Synchronous Machine Data Set: Synchronous motors (SMs) are AC motors with constant speed.A SM dataset is obtained from a real experimental set. The task is to create the strong models to estimate the excitation current of SM.

3. Synchronous Machine Data Set: Synchronous motors (SMs) are AC motors with constant speed.A SM dataset is obtained from a real experimental set. The task is to create the strong models to estimate the excitation current of SM.

4. Average Localization Error (ALE) in sensor node localization process in WSNs: This data set can be used to test any regression-based machine learning algorithm. You can predict the ALE variable using four features.

5. Real estate valuation data set: The “real estate valuation” is a regression problem. The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan.

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

7. QSAR fish toxicity: Data set containing values for 6 attributes (molecular descriptors) of 908 chemicals used to predict quantitative acute aquatic toxicity towards the fish Pimephales promelas (fathead minnow).

8. Auto MPG: Revised from CMU StatLib library, data concerns city-cycle fuel consumption

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.

10. ISTANBUL STOCK EXCHANGE: Data sets includes returns of Istanbul Stock Exchange with seven other international index; SP, DAX, FTSE, NIKKEI, BOVESPA, MSCE_EU, MSCI_EM from Jun 5, 2009 to Feb 22, 2011.

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

12. QSAR aquatic toxicity: Data set containing values for 8 attributes (molecular descriptors) of 546 chemicals used to predict quantitative acute aquatic toxicity towards Daphnia Magna..


Supported By:

 In Collaboration With:

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