View Diabetes IDA (public)























- Summary
(No information yet)
- License
- PDDL
- Dependencies
- Tags
- IDA_Benchmark_Repository
- Attribute Types
- Download
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# Instances: 263 / # Attributes: 10
HDF5 (64.5 KB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
- Original Data Format
- h5
- Name
- diabetis_data
- Version mldata
- 0
- Comment
matlab
- Names
- Data (first 10 data points)
-1.0 -1.14... -1.99... -0.47... -1.28... -0.69... -1.30... 0.79... 2.87... -1.0 -1.14... -1.68... 0.35... -1.28... -0.69... 1.68... -0.83... 1.08... -1.0 -1.14... -1.49... -3.57... -1.28... -0.69... -1.38... -0.39... -0.70... -1.0 -1.14... -1.46... -0.88... -0.66... -0.38... -0.53... -0.61... -0.95... -1.0 -1.14... -1.34... 0.97... 0.53... -0.34... 0.62... -0.11... -1.04... -1.0 -1.14... -1.15... -0.26... 0.09... -0.11... 0.48... 0.22... -1.04... -1.0 -1.14... -1.15... 0.66... 0.65... 0.39... 0.78... -0.72... -0.87... -1.0 -1.14... -1.09... -0.05... 0.71... -0.69... 0.48... -0.70... -0.70... -1.0 -1.14... -0.93... -0.05... 0.71... 1.12... 1.00... -0.27... -0.70... -1.0 -1.14... -0.93... 0.56... -1.28... -0.69... 0.05... 0.38... -0.53... ... ... ... ... ... ... ... ... ...
- Description
(No information yet)
- URLs
- http://www.ics.uci.edu/~mlearn/MLSummary.html
- Publications
- Data Source
- Measurement Details
modifications of the original data
training data has now zero mean and standard deviation one
- Usage Scenario
- revision 1
- by sonne on 2010-04-28 12:53
- revision 2
- by sonne on 2010-11-24 19:40
- revision 3
- by sonne on 2010-11-24 19:42
- revision 4
- by sonne on 2010-11-24 19:54
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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/.
