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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/SLP/examples/UCI_DataSets/contracep.names
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
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+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