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

We currently maintain 350 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:
2013-04-04: Welcome to the new Repository admins Kevin Bache and Moshe Lichman!
2010-03-01: Note from donor regarding Netflix data
2009-10-16: Two new data sets have been added.
2009-09-14: Several data sets have been added.
2008-07-23: Repository mirror has been set up.
2008-03-24: New data sets have been added!
2007-06-25: Two new data sets have been added: UJI Pen Characters, MAGIC Gamma Telescope


Featured Data Set:  Iris

Task: Classification
Data Type: Multivariate
# Attributes: 4
# Instances: 150

Famous database; from Fisher, 1936
Newest Data Sets:
2016-05-19:
 Twin gas sensor arrays
2016-03-23:
 Air Quality
2016-03-05:
 Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson’s Disease
2016-03-03:
 STUDENT ALCOHOL CONSUMPTION
2016-03-03:
 Detect Malacious Executable(AntiVirus)
2016-02-29:
 GPS Trajectories
2016-02-29:
 Occupancy Detection
2016-02-28:
 News Aggregator
2016-02-23:
 SIFT10M
2016-02-04:
 Indoor User Movement Prediction from RSS data
2016-01-28:
 HEPMASS
2016-01-26:
 default of credit card clients
Most Popular Data Sets (hits since 2007):
1016530:
 Iris
706814:
 Adult
550666:
 Wine
470530:
 Car Evaluation
425280:
 Breast Cancer Wisconsin (Diagnostic)
366090:
 Abalone
351875:
 Wine Quality
342446:
 Heart Disease
300767:
 Human Activity Recognition Using Smartphones
289273:
 Poker Hand
254245:
 Forest Fires
230427:
 Internet Advertisements

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