Data
cmc

cmc

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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  • Computer Systems Machine Learning
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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

10 features

class (target)numeric3 unique values
0 missing
Wifes_agenumeric34 unique values
0 missing
Number_of_children_ever_bornnumeric15 unique values
0 missing
Wifes_educationnumeric4 unique values
0 missing
Husbands_educationnumeric4 unique values
0 missing
Wifes_religionnumeric2 unique values
0 missing
Wifes_now_working%3Fnumeric2 unique values
0 missing
Husbands_occupationnumeric4 unique values
0 missing
Standard-of-living_indexnumeric4 unique values
0 missing
Media_exposurenumeric2 unique values
0 missing

19 properties

1473
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
10
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
0.97
Average class difference between consecutive instances.
0
Percentage of missing values.
0.01
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.

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