Center for Machine Learning and Intelligent Systems
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Welcome to the UC Irvine Machine Learning Repository!

We currently maintain 187 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. Our old web site is still available, for those who prefer the old format. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please consult our donation policy. For any other questions, feel free to contact the Repository librarians. We have also set up a mirror site for the Repository.

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Latest News:
10-16-2009: Two new data sets have been added.
09-21-2009: The Netflix Prize data set is now available.
09-14-2009: Several data sets have been added.
07-23-2008: Repository mirror has been set up.
03-24-2008: New data sets have been added!
06-25-2007: Two new data sets have been added: UJI Pen Characters, MAGIC Gamma Telescope
04-13-2007: Research papers that cite the repository have been associated to specific data sets.


Featured Data Set:  URL Reputation

Task: Classification
Data Type: Multivariate, Time-Series
# Attributes: 3231961
# Instances: 2396130

Anonymized 120-day subset of the ICML-09 URL data containing 2.4 million examples and 3.2 million features.
Newest Data Sets:
10-15-2009:
 URL Reputation
10-07-2009:
 Wine Quality
09-21-2009:
 Netflix Prize
08-17-2009:
 Libras Movement
07-13-2009:
 Communities and Crime
04-30-2009:
 Concrete Slump Test
02-11-2009:
 Acute Inflammations
01-22-2009:
 UJI Pen Characters (Version 2)
12-31-2008:
 Plants
11-19-2008:
 SECOM
11-11-2008:
 Semeion Handwritten Digit
10-03-2008:
 Blood Transfusion Service Center
Most Popular Data Sets (hits since 2007):
99828:
 Iris
76761:
 Adult
66888:
 Wine
55428:
 Breast Cancer Wisconsin (Diagnostic)
43647:
 Abalone
41931:
 Poker Hand
33925:
 Forest Fires
31529:
 Yeast
29612:
 Internet Advertisements
29409:
 Car Evaluation
28625:
 SPECT Heart
27106:
 Bag of Words

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