View uci-20070111 cmc (public)

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Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer
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# Instances: 1473 / # Attributes: 10
HDF5 (70.1 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
cmc
Version mldata
0
Comment

  1. Title: Contraceptive Method Choice

  2. Sources: (a) Origin: This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey (b) Creator: Tjen-Sien Lim (limt@stat.wisc.edu) (c) Donor: Tjen-Sien Lim (limt@stat.wisc.edu) (c) Date: June 7, 1997

  3. Past Usage: Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms. Machine Learning. Forthcoming. (ftp://ftp.stat.wisc.edu/pub/loh/treeprogs/quest1.7/mach1317.pdf or (http://www.stat.wisc.edu/~limt/mach1317.pdf)

  4. Relevant Information: This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of interview. The problem is to predict the current contraceptive method choice (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics.

  5. Number of Instances: 1473

  6. Number of Attributes: 10 (including the class attribute)

  7. Attribute Information:

  8. Wife's age (numerical)

  9. Wife's education (categorical) 1=low, 2, 3, 4=high

  10. Husband's education (categorical) 1=low, 2, 3, 4=high

  11. Number of children ever born (numerical)

  12. Wife's religion (binary) 0=Non-Islam, 1=Islam

  13. Wife's now working? (binary) 0=Yes, 1=No

  14. Husband's occupation (categorical) 1, 2, 3, 4

  15. Standard-of-living index (categorical) 1=low, 2, 3, 4=high

  16. Media exposure (binary) 0=Good, 1=Not good

  17. Contraceptive method used (class attribute) 1=No-use 2=Long-term 3=Short-term

  18. Missing Attribute Values: None

Information about the dataset CLASSTYPE: nominal CLASSINDEX: last

Names
Wifes_age,Wifes_education,Husbands_education,Number_of_children_ever_born,Wifes_religion,Wifes_now_working,Husbands_occupation,Standard-of-living_index,Media_exposure,Contraceptive_method_used,
Types
  1. numeric
  2. nominal:1,2,3,4
  3. nominal:1,2,3,4
  4. numeric
  5. nominal:0,1
  6. nominal:0,1
  7. nominal:1,2,3,4
  8. nominal:1,2,3,4
  9. nominal:0,1
  10. nominal:1,2,3
Data (first 10 data points)
    Wife... Wife... Husb... Numb... Wife... Wife... Husb... Stan... Medi... Cont...
    24 2 3 3 1 1 2 3 0 1
    45 1 3 10 1 1 3 4 0 1
    43 2 3 7 1 1 3 4 0 1
    42 3 2 9 1 1 3 3 0 1
    36 3 3 8 1 1 3 2 0 1
    19 4 4 0 1 1 3 3 0 1
    38 2 3 6 1 1 3 2 0 1
    21 3 3 1 1 0 3 2 0 1
    27 2 3 3 1 1 3 4 0 1
    45 1 1 8 1 1 2 2 1 1
    ... ... ... ... ... ... ... ... ... ...
Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs
(No information yet)
Publications
    Data Source
    http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 09:58

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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