Public Archive Data
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Pendigits_UCSD_MKL - submitted by hzahn 597 views, 1582 downloads, 0 comments
last edited by hzahn - Feb 24, 2011, 06:59 CET Rating
- Summary:
data set on pen-based digits
- License: unknown (from UCI repository)
- Tags: conversion_failed handwritten_digits
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: octave (7.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
data set on pen-based digits
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test11111 - submitted by iBayer 0 views, 3392 downloads, 0 comments
last edited by iBayer - Jun 14, 2012, 12:47 CET Rating
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Friedman-datasets fri_c0_500_10 - submitted by mldata 4510 views, 5065 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:57 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 0, and 500 instances.
- Data Shape: 11 attributes, 500 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (53.5 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 0, and 500 instances.
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Friedman-datasets fri_c0_250_50 - submitted by mldata 4102 views, 5114 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:57 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 50 features, 1 output (51st feature), colinearity degree 0, and 250 instances.
- Data Shape: 51 attributes, 250 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (110.2 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 50 features, 1 output (51st feature), colinearity degree 0, and 250 instances.
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Friedman-datasets fri_c0_500_5 - submitted by mldata 4381 views, 5008 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:57 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 0, and 500 instances.
- Data Shape: 6 attributes, 500 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (34.0 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 0, and 500 instances.
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Friedman-datasets fri_c0_500_25 - submitted by mldata 3976 views, 5032 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:57 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 0, and 500 instances.
- Data Shape: 26 attributes, 500 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (112.1 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 0, and 500 instances.
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Friedman-datasets fri_c1_250_10 - submitted by mldata 18320 views, 9671 downloads, 2 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:17 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 1, and 250 instances.
- Data Shape: 11 attributes, 250 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff colinearity Friedman-function slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (32.0 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 1, and 250 instances.
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Friedman-datasets fri_c2_250_5 - submitted by mldata 8189 views, 8581 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 14:55 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 2, and 250 instances.
- Data Shape: 6 attributes, 250 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff colinearity Friedman-function slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (22.3 KB) XML CSV ARFF LibSVM Matlab Octave
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 2, and 250 instances.
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Friedman-datasets fri_c3_250_25 - submitted by mldata 4085 views, 4555 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:42 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 3, and 250 instances.
- Data Shape: 26 attributes, 250 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (61.3 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 3, and 250 instances.
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Friedman-datasets fri_c2_1000_5 - submitted by mldata 3953 views, 4386 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:40 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 2, and 1000 instances.
- Data Shape: 6 attributes, 1000 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (57.4 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 2, and 1000 instances.
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.