A subset of the 1987 National Indonesia Contraceptive Prevalence Survey.
contraceptiveA data frame containing 1473 cases (rows) and 10 variables (columns).
Wife's age, Numeric
Wife's education, Nummeric, (1=low, 2, 3, 4=high)
Husband's education, Nummeric, (1=low, 2, 3, 4=high)
Number of children ever born, Numeric
Wife's religion, Numeric, (0=Non-Islam, 1=Islam)
Wife's now working?, Nummeric, (0=Yes, 1=No)
Husband's occupation, Nummeric, (1, 2, 3, 4)
Standard-of-living index, Nummeric, (1=low, 2, 3, 4=high)
Media exposure, Numeric, (0=Good, 1=Not good)
Criterion: Use of a contraceptive (as logical).
Values: FALSE vs. TRUE (42.7% vs. 57.3%).
The samples describe married women who were either not pregnant or do not know if they were pregnant at the time of the interview.
The problem consists in predicting a woman's current contraceptive method choice
(here: binarized cont.crit)
based on her demographic and socio-economic characteristics.
We made the following enhancements to the original data for improved usability:
The criterion was binarized from a class attribute variable with three levels
(1 = No-use, 2 = Long-term, 3 = Short-term),
into a logical variable (TRUE vs. FALSE).
Other than that, the data remains consistent with the original dataset.
Other datasets:
blood,
breastcancer,
car,
creditapproval,
fertility,
forestfires,
heart.cost,
heart.test,
heart.train,
heartdisease,
iris.v,
mushrooms,
sonar,
titanic,
voting,
wine