UCI Machine Learning Datasets 12/2013
UCI

machine-learning-databases (211 files)
00192/BreastTissue.xls 87.04kB
00193/CTG.xls 1.74MB
00194/AllData.zip 320.12kB
00194/sensor_readings_2.data 150.23kB
00194/sensor_readings_24.data 875.88kB
00194/sensor_readings_4.data 221.16kB
00194/Wall-following.names 8.71kB
00194/Wall-Following_Robot_Navigation.zip 320.12kB
00195/graphic.jpg 32.61kB
00195/Test_Arabic_Digit.txt 9.37MB
00195/Train_Arabic_Digit.txt 28.34MB
00196/ConfLongDemo_JSI.txt 21.55MB
00196/dataSetDescription.names 2.61kB
00197/AU.zip 8.11MB
00197/AutoUniv User Guide.pdf 14.94kB
00198/Faults.NNA 299.48kB
00198/Faults27x7_var 0.50kB
00199/MiniBooNE_PID.txt 91.17MB
00201/test.mdf 0.00kB
00202/banques.txt 4.75kB
00203/YearPredictionMSD.txt.zip 211.01MB
00204/PEMS-SF.zip 109.48MB
00205/OpinRankDataset.pdf 72.30kB
00205/OpinRankDataset.zip 102.20MB
00206/slice_localization_data.zip 17.82MB
00208/Online Handwritten Assamese Characters Dataset.rar 8.07MB
00209/Schierz_Bioassay.zip 45.40MB
00210/documentation 4.52kB
00210/donation.zip 56.45MB
00211/CommViolPredUnnormalizedData.txt 1.56MB
00212/vertebral_column_data.zip 33.25kB
00213/EMG Physical Action Data Set.rar 18.60MB
00214/Vicon Physical Action Data Set.rar 12.85MB
00215/Amazon_initial_50_30_10000.rar 2.21MB
00216/amzn-anon-access-samples.tgz 12.27MB
00217/C50.zip 8.19MB
00218/farm-data.zip 5.37MB
00219/dbworld.zip 156.66kB
00220/Relation Network (Directed).data 7.34MB
00221/Reaction Network (Undirected).data 11.81MB
00222/bank.zip 579.04kB
00223/comedy_comparisons.zip 7.00MB
00224/Dataset.zip 9.99MB
00225/Indian Liver Patient Dataset (ILPD).csv 23.76kB
00226/OpportunityUCIDataset.zip 306.64MB
00227/Nomao.zip 1.64MB
00228/smsspamcollection.zip 203.42kB
00229/Skin_NonSkin.txt 3.40MB
00230/plrx.txt 40.59kB
Too many files! Click here to view them all.
Type: Dataset
Tags: UCI

Bibtex:
@article{,
title= {UCI Machine Learning Datasets 12/2013},
journal= {},
author= {UCI },
year= {2013},
url= {},
abstract= {The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. The archive was created as an ftp archive in 1987 by David Aha and fellow graduate students at UC Irvine. Since that time, it has been widely used by students, educators, and researchers all over the world as a primary source of machine learning data sets. As an indication of the impact of the archive, it has been cited over 1000 times, making it one of the top 100 most cited "papers" in all of computer science. The current version of the web site was designed in 2007 by Arthur Asuncion and David Newman, and this project is in collaboration with Rexa.info at the University of Massachusetts Amherst. Funding support from the National Science Foundation is gratefully acknowledged.

Many people deserve thanks for making the repository a success. Foremost among them are the donors and creators of the databases and data generators. Special thanks should also go to the past librarians of the repository: David Aha, Patrick Murphy, Christopher Merz, Eamonn Keogh, Cathy Blake, Seth Hettich, and David Newman.},
keywords= {UCI},
terms= {},
license= {},
superseded= {}
}

Hosted by users:

10 day statistics (5 downloads)

Average Time 1 hrs, 43 mins, 43 secs
Average Speed 2.63MB/s
Best Time 3 mins, 37 secs
Best Speed 75.42MB/s
Worst Time 2 hrs, 08 mins, 47 secs
Worst Speed 2.12MB/s