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 (7)
Clustering (7)
Other (1)

Attribute Type

Categorical (1)
Numerical (11)
Mixed (2)

Data Type

Multivariate (18)
Univariate (1)
Sequential (0)
Time-Series (1)
Text (2)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (20)
Physical Sciences (4)
CS / Engineering (20)
Social Sciences (3)
Business (5)
Game (1)
Other (9)

# Attributes - Undo

Less than 10 (20)
10 to 100 (19)
Greater than 100 (12)

# Instances - Undo

Less than 100 (5)
100 to 1000 (20)
Greater than 1000 (36)

Format Type

Matrix (14)
Non-Matrix (6)

20 Data Sets

Table View  List View


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

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

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

4. 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)

5. 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.

6. ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines): The dataset is about the users' learning activities and knowledge levels on subjects of DC Electrical Machines. The dataset had been obtained from online web-courses and reported in my Ph.D. Thesis.

7. User Knowledge Modeling: It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D. Thesis.

8. BLOGGER: In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran

9. EMG dataset in Lower Limb: 3 different exercises: sitting, standing and walking in the muscles: biceps femoris, vastus medialis, rectus femoris and semitendinosus addition to goniometry in the exercises.

10. Qualitative_Bankruptcy: Predict the Bankruptcy from Qualitative parameters from experts.

11. Perfume Data: This data consists of odors of 20 different perfumes. Data was obtained by using a handheld odor meter (OMX-GR sensor) per second for 28 seconds period.

12. AAAI 2014 Accepted Papers: This data set compromises the metadata for the 2014 AAAI conference's accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity.

13. AAAI 2013 Accepted Papers: This data set compromises the metadata for the 2013 AAAI conference's accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity.

14. Dishonest Internet users Dataset: The dataset was used to test an architecture based on a trust model capable to cope with the evaluation of the trustworthiness of users interacting in pervasive environments.

15. Labeled Text Forum Threads Dataset: The dataset is a collection of text forum threads with class labels reflects the reply quality to the Initial-Post, 3 for complete relevant, 2 for partially relevant, and 1 for irrelevant

16. Alcohol QCM Sensor Dataset: Five different QCM gas sensors are used, and five different gas measurements (1-octanol, 1-propanol, 2-butanol, 2-propanol and 1-isobutanol) are conducted in each of these sensors.

17. Kain Tradisional Sambas: This data set consist of 5 patterns of Kain Tradisional Sambas's features from CFS (Correlation-Based Feature Selection) method which are Angular Second Moment, Contrast, and Correlation

18. 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.

19. 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.

20. 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.


Supported By:

 In Collaboration With:

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