Public Archive Data
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Ovarian Cancer (NCI PBSII Data) - submitted by kidzik 4869 views, 13735 downloads, 0 comments
last edited by kidzik - Sep 14, 2011, 14:35 CET Rating
- Summary:
Ovarian cancer due to family or personal history of cancer
- Data Shape: 15155 attributes, 253 instances (Integer,Floating Point,String)
- License: unknown (from UCI repository)
- Tags: cancer genetic history ovarian
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (30.1 MB) 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:
Ovarian cancer due to family or personal history of cancer
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Ovarian Cancer (NCI Q-Star Data) - submitted by kidzik 19 views, 2207 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 12:21 CET Rating
- Summary:
The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer.
- License: unknown (from UCI repository)
- Tags: cancer Classification nci ovarian qstar
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: arff (465.6 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer.
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Pendigits_UCSD_MKL - submitted by hzahn 597 views, 1553 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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Plant classification - submitted by DataMiner 38 views, 4095 downloads, 0 comments
last edited by DataMiner - Apr 6, 2018, 16:27 CET Rating
- Summary:
(No information yet)
- Data Shape: 7 attributes, 2691 instances ()
- License: unknown (from UCI repository)
- Tags: dataset Learning plants tree
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (83.8 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:
(No information yet)
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poker - submitted by mldata 150 views, 14101 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:45 CET Rating
- Summary:
(No information yet)
- Data Shape: 11 attributes, 1025010 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (86.0 MB) 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:
(No information yet)
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Prostate Cancer - submitted by kidzik 20 views, 3090 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:27 CET Rating
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
- License: unknown (from UCI repository)
- Tags: cancer Prediction prostate tumor
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (4.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
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Protein Fold Prediction ucsd-mkl - submitted by hzahn 573 views, 2041 downloads, 0 comments
last edited by hzahn - Feb 28, 2011, 14:57 CET Rating
- Summary:
multy kernel learning dataset on protein fold prediction
- License: unknown (from UCI repository)
- Tags: multi-class multi-kernel protein-fold-prediction
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: unknown (793.6 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
multy kernel learning dataset on protein fold prediction
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pyrim - submitted by mldata 146 views, 5098 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:49 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 74 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (26.1 KB) XML CSV ARFF LibSVM Matlab Octave
- Summary:
(No information yet)
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pyrim_scale - submitted by mldata 61 views, 4709 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:49 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 74 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (26.2 KB) XML CSV ARFF LibSVM Matlab Octave
- Summary:
(No information yet)
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Ratings of sweets (sweetrs) - submitted by kidzik 16 views, 10100 downloads, 0 comments
last edited by kidzik - Sep 13, 2011, 15:28 CET Rating
- Summary:
Ratings of sweets for collaborative-filtering. Data gathered on http://sweetrs.org/ website.
- Data Shape: 3 attributes, 17903 instances ()
- License: unknown (from UCI repository)
- Tags: collaborative-filtering recommendation Regression sweetrs sweets
- Tasks / Methods / Challenges: 1 tasks, 1 methods, 0 challenges
- Download: HDF5 (220.0 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:
Ratings of sweets for collaborative-filtering. Data gathered on http://sweetrs.org/ website.
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/.