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 (limtstat.wisc.edu)
(c) Donor: Tjen-Sien Lim (limtstat.wisc.edu)
(d) 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:
Wife's age (numerical)
Wife's education (categorical) 1=low, 2, 3, 4=high
Husband's education (categorical) 1=low, 2, 3, 4=high
Number of children ever born (numerical)
Wife's religion (binary) 0=Non-Islam, 1=Islam
Wife's now working? (binary) 0=Yes, 1=No
Husband's occupation (categorical) 1, 2, 3, 4
Standard-of-living index (categorical) 1=low, 2, 3, 4=high
Media exposure (binary) 0=Good, 1=Not good
Contraceptive method used (class attribute) 1=No-use ,2=Long-term,3=Short-term
8. Missing Attribute Values: None