Public Archive Data
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Pendigits_UCSD_MKL - submitted by hzahn 597 views, 1551 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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seed data set - submitted by mahmoud200 1 view, 1548 downloads, 0 comments
last edited by mahmoud200 - May 26, 2013, 20:02 CET Rating
- Summary:
my data
- License: unknown
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: txt (9.1 KB)
- Summary:
my data
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Sequence Data - Polya Signal - submitted by kidzik 34 views, 1485 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:21 CET Rating
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
- License: unknown (from UCI repository)
- Tags: polya
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (1.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
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Santa Fee data set D - submitted by sonne 2168 views, 1420 downloads, 0 comments
last edited by sonne - Nov 22, 2010, 17:09 CET Rating
- Summary:
Time Series Benchmark data Santa Fee data set D from the IDA Benchmark Repository.
- Data Shape: 21 attributes, 352 instances ()
- License: PDDL
- Tags: IDA_Benchmark_Repository
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: asc (115.6 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Time Series Benchmark data Santa Fee data set D from the IDA Benchmark Repository.
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emnist-dataset - submitted by HashMemo2 4 views, 1349 downloads, 0 comments
last edited by HashMemo2 - Jan 31, 2018, 15:51 CET Rating
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trn - submitted by jq123456789 2 views, 1323 downloads, 0 comments
last edited by jq123456789 - Sep 17, 2017, 07:32 CET Rating
- Summary:
trn
- License: unknown
- Tags: trn
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: csv (529 bytes)
- Summary:
trn
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regression-datasets diabete-7695 - submitted by mldata 2775 views, 1192 downloads, 1 comment
last edited by mldata - Oct 27, 2010, 17:26 CET Rating
- Summary:
(No information yet)
- Data Shape: 3 attributes, 36 instances (Integer)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: arff (12.0 KB)
- Summary:
(No information yet)
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LSch - submitted by gabfer 5 views, 1154 downloads, 0 comments
last edited by gabfer - Dec 2, 2017, 21:07 CET Rating
- Summary:
(No information yet)
- License: unknown
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (114.1 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(No information yet)
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emnist-databaseset - submitted by HashMemo2 2 views, 1141 downloads, 0 comments
last edited by HashMemo2 - Jan 31, 2018, 15:38 CET Rating
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Successful business - submitted by DataMiner 3 views, 1123 downloads, 0 comments
last edited by DataMiner - Apr 6, 2018, 16:34 CET Rating
- Summary:
Simulation from (partial) real data
- License: unknown
- Tags: business database integer Learning statistics
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: rar (5.5 KB)
- Summary:
Simulation from (partial) real data
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/.