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45 lines
2.0 KiB
Plaintext
Executable File
45 lines
2.0 KiB
Plaintext
Executable File
1. Title: Contraceptive Method Choice
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2. Sources:
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(a) Origin: This dataset is a subset of the 1987 National Indonesia
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Contraceptive Prevalence Survey
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(b) Creator: Tjen-Sien Lim (limt@stat.wisc.edu)
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(c) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
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(c) Date: June 7, 1997
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3. Past Usage:
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Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). A Comparison of
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Prediction Accuracy, Complexity, and Training Time of Thirty-three
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Old and New Classification Algorithms. Machine Learning. Forthcoming.
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(ftp://ftp.stat.wisc.edu/pub/loh/treeprogs/quest1.7/mach1317.pdf or
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(http://www.stat.wisc.edu/~limt/mach1317.pdf)
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4. Relevant Information:
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This dataset is a subset of the 1987 National Indonesia Contraceptive
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Prevalence Survey. The samples are married women who were either not
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pregnant or do not know if they were at the time of interview. The
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problem is to predict the current contraceptive method choice
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(no use, long-term methods, or short-term methods) of a woman based
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on her demographic and socio-economic characteristics.
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5. Number of Instances: 1473
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6. Number of Attributes: 10 (including the class attribute)
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7. Attribute Information:
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1. Wife's age (numerical)
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2. Wife's education (categorical) 1=low, 2, 3, 4=high
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3. Husband's education (categorical) 1=low, 2, 3, 4=high
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4. Number of children ever born (numerical)
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5. Wife's religion (binary) 0=Non-Islam, 1=Islam
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6. Wife's now working? (binary) 0=Yes, 1=No
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7. Husband's occupation (categorical) 1, 2, 3, 4
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8. Standard-of-living index (categorical) 1=low, 2, 3, 4=high
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9. Media exposure (binary) 0=Good, 1=Not good
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10. Contraceptive method used (class attribute) 1=No-use
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2=Long-term
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3=Short-term
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8. Missing Attribute Values: None
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