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adding authors [C-G]*
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lpfgarcia committed Sep 2, 2014
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47 changes: 46 additions & 1 deletion uci/cmc.arff → uci/contraceptive-method-choice.arff
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@relation R_data_frame
%% 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 ([email protected])
%% (c) Donor: Tjen-Sien Lim ([email protected])
%% (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:
%%
%% 1. Wife's age (numerical)
%% 2. Wife's education (categorical) 1=low, 2, 3, 4=high
%% 3. Husband's education (categorical) 1=low, 2, 3, 4=high
%% 4. Number of children ever born (numerical)
%% 5. Wife's religion (binary) 0=Non-Islam, 1=Islam
%% 6. Wife's now working? (binary) 0=Yes, 1=No
%% 7. Husband's occupation (categorical) 1, 2, 3, 4
%% 8. Standard-of-living index (categorical) 1=low, 2, 3, 4=high
%% 9. Media exposure (binary) 0=Good, 1=Not good
%% 10. Contraceptive method used (class attribute) 1=No-use
%% 2=Long-term
%% 3=Short-term
%%
%% 8. Missing Attribute Values: None

@relation contraceptive-method-choice

@attribute V1 numeric
@attribute V2 {1,2,3,4}
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