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

We currently maintain 483 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. 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.

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Latest News:
09-24-2018: Welcome to the new Repository admins Dheeru Dua and Efi Karra Taniskidou!
04-04-2013: Welcome to the new Repository admins Kevin Bache and Moshe Lichman!
03-01-2010: Note from donor regarding Netflix data
10-16-2009: Two new data sets have been added.
09-14-2009: Several data sets have been added.
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


Featured Data Set:  Breast Cancer Wisconsin (Original)

Task: Classification
Data Type: Multivariate
# Attributes: 10
# Instances: 699

Original Wisconsin Breast Cancer Database
Newest Data Sets:
09-21-2019:
 Online Retail II
09-20-2019:
 Beijing Multi-Site Air-Quality Data
09-20-2019:
 MEx
07-30-2019:
 PPG-DaLiA
07-24-2019:
 Divorce Predictors data set
07-22-2019:
 Alcohol QCM Sensor Dataset
07-14-2019:
 Incident management process enriched event log
06-30-2019:
 Wave Energy Converters
06-22-2019:
 Query Analytics Workloads Dataset
06-17-2019:
 Opinion Corpus for Lebanese Arabic Reviews (OCLAR)
05-07-2019:
 Metro Interstate Traffic Volume
04-22-2019:
 Facebook Live Sellers in Thailand
Most Popular Data Sets (hits since 2007):
2842808:
 Iris
1583514:
 Adult
1228230:
 Wine
1037129:
 Car Evaluation
1021340:
 Wine Quality
1011063:
 Heart Disease
998794:
 Breast Cancer Wisconsin (Diagnostic)
981694:
 Bank Marketing
885391:
 Human Activity Recognition Using Smartphones
824283:
 Abalone
786082:
 Forest Fires
552692:
 Poker Hand

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