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

We currently maintain 342 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:  Australian Sign Language signs (High Quality)

Task: Classification
Data Type: Multivariate, Time-Series
# Attributes: 22
# Instances: 2565

This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers
Newest Data Sets:
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
2016-01-11:
 Mesothelioma’s disease data set
2015-12-21:
 Open University Learning Analytics dataset
2015-11-06:
 Online Retail
2015-10-26:
 Heterogeneity Activity Recognition
2015-09-24:
 Educational Process Mining (EPM): A Learning Analytics Data Set
2015-09-10:
 UJIIndoorLoc-Mag
2015-08-04:
 Mice Protein Expression
2015-07-29:
 Smartphone-Based Recognition of Human Activities and Postural Transitions
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433419:
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336909:
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306637:
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304264:
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270159:
 Human Activity Recognition Using Smartphones
269301:
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234750:
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214506:
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