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 (18)
Regression (3)
Clustering (2)
Other (10)

Attribute Type

Categorical (1)
Numerical (1)
Mixed (1)

Data Type

Multivariate (0)
Univariate (2)
Sequential (1)
Time-Series (2)
Text (2)
Domain-Theory (1)
Other (4)

Area - Undo

Life Sciences (8)
Physical Sciences (3)
CS / Engineering (11)
Social Sciences (3)
Business (1)
Game (2)
Other (10)

# Attributes

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

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (4)

Format Type - Undo

Matrix (5)
Non-Matrix (10)

10 Data Sets

Table View  List View

1. DGP2 - The Second Data Generation Program: Generates application domains based on specific parameters, number of features, and proportion of positive to negative examples

2. Document Understanding: Five concepts, expressed as predicates, to be learned

3. Prodigy: Assorted domains like blocksworld, eightpuzzle, and schedworld.

4. Statlog Project: Various Databases: Vehicle silhouttes, Landsat Sattelite, Shuttle, Australian Credit Approval, Heart Disease, Image Segmentation, German Credit

5. Undocumented: Various datasets without documentation (feel free to explore!)

6. Twenty Newsgroups: This data set consists of 20000 messages taken from 20 newsgroups.

7. Entree Chicago Recommendation Data: This data contains a record of user interactions with the Entree Chicago restaurant recommendation system.

8. NSF Research Award Abstracts 1990-2003: This data set consists of (a) 129,000 abstracts describing NSF awards for basic research, (b) bag-of-word data files extracted from the abstracts, (c) a list of words used for indexing the bag-of-word

9. Pseudo Periodic Synthetic Time Series: This data set is designed for testing indexing schemes in time series databases. The data appears highly periodic, but never exactly repeats itself.

10. Bach Chorales: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp

Supported By:

 In Collaboration With:

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