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adding authors [C-G]*
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uci/cmc.arff renamed to uci/contraceptive-method-choice.arff

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@relation R_data_frame
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%% 1. Title: Contraceptive Method Choice
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%%
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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 ([email protected])
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%% (c) Donor: Tjen-Sien Lim ([email protected])
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%% (c) Date: June 7, 1997
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%%
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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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%%
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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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%%
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%% 5. Number of Instances: 1473
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%%
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%% 6. Number of Attributes: 10 (including the class attribute)
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%%
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%% 7. Attribute Information:
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%%
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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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%%
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%% 8. Missing Attribute Values: None
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@relation contraceptive-method-choice
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@attribute V1 numeric
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@attribute V2 {1,2,3,4}

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