adding authors [C-G]*

lpfgarcia · Sep 2, 2014 · 4aa1f45 · 4aa1f45
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diff --git a/uci/cmc.arff → uci/contraceptive-method-choice.arff b/uci/cmc.arff → uci/contraceptive-method-choice.arff
@@ -1,4 +1,49 @@
-@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 (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:
+%%  
+%%     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}