Task
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Diabetes IDA Classification - submitted by sonne 1256 views, 862 downloads, 0 comments
last edited by demo - Dec 3, 2010, 15:25 CET Rating
- Summary:
The diabetes task from the IDA Benchmark repository.
- License: CC-BY-SA 3.0
- Tags: Classification diabetes IDA_Benchmark_Repository
- Performance Measure: Accuracy
- Task Type: Binary Classification
- Methods / Challenges: 0 methods, 0 challenges
- Download: HDF5 (389.1 KB) XML Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
The diabetes task from the IDA Benchmark repository.
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pima binclass - submitted by cong 700 views, 719 downloads, 0 comments
last edited by cong - Nov 28, 2010, 14:44 CET Rating
- Summary:
The standard task for the pima indian diabetes binary classification dataset
- License: CC-BY-SA 3.0
- Tags: binary Classification diabetes pima
- Performance Measure: Accuracy
- Task Type: Binary Classification
- Methods / Challenges: 1 methods, 1 challenges
- Download: HDF5 (20.8 KB) XML Matlab Octave
- Summary:
The standard task for the pima indian diabetes binary classification dataset
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pima binclass roc - submitted by cong 739 views, 700 downloads, 0 comments
last edited by cong - Nov 28, 2010, 15:32 CET Rating
- Summary:
The standard task for the pima indian diabetes binary classification dataset
- License: CC-BY-SA 3.0
- Tags: binary Classification diabetes pima roc
- Performance Measure: ROC Curve
- Task Type: Binary Classification
- Methods / Challenges: 1 methods, 0 challenges
- Download: HDF5 (20.8 KB) XML Matlab Octave
- Summary:
The standard task for the pima indian diabetes binary classification dataset
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/.