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2010-11-28 14:44 by cong | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

The standard task for the pima indian diabetes binary classification dataset

License
CC-BY-SA 3.0
Tags
binary Classification diabetes pima
Input format

8 numerical values, scaled to [-1,1]

Output format

one binary classification output, {-1,+1}

Performance Measure
Accuracy
Type
Binary Classification
Data
diabetes_scale
Download
HDF5 (20.8 KB) XML Matlab Octave
Completeness of this item currently: 90%.
Input Variables
1:9
Output Variables
0
Datasplits
NrSplitimage
0
NrTrain IndicesValidation IndicesTest Indices
0 0:500 500:768

We use python style indices
Description

As a demonstration, we only have one training test split.

URLs
(No information yet)
Publications
    revision 1
    by cong on 2010-11-28 14:44

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    Methods associated to task pima binclass

    SubmitterMethod (version)CurveScoreDate
    cong mldata api demo (1) - 0.817164179104  predictions 2010-11-30 14:20
    Submit a new Method To submit a result, please sign in.

    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.

    Data | Task | Method | Challenge

    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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    http://www.pascal-network.org/.