| car {FFTrees} | R Documentation |
Car acceptability data
Description
A dataset on car evaluations based on basic features, derived from a simple hierarchical decision model.
Usage
car
Format
A data frame containing 1728 cars (rows) and 7 variables (columns).
- buying.price
price for buying the car, Factor (high, low, med, vhigh)
- maint.price
price of the maintenance, Factor (high, low, med, vhigh)
- doors
number of doors, Factor (2, 3, 4, 5more)
- persons
capacity in terms of persons to carry, Factor (2, 4, more)
- luggage
the size of luggage boot, Factor (big, med, small)
- safety
estimated safety of the car, Factor (high, low, med)
- acceptability
Criterion: Category of acceptability rating.
Values:
unacc/vgood/good/acc
Details
The criterion variable is a car's acceptability rating.
The criterion for this dataset has not yet been binarized. Before using it with an FFTree, this necessary prerequisite step should be completed based on individual preferences.
Source
http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
Original creator and donor:
Marko Bohanec and Blaz Zupan
References
Bohanec, M., Rajkovic, V. (1990): Expert system for decision making. Sistemica, 1 (1), 145–157.
See Also
Other datasets:
blood,
breastcancer,
contraceptive,
creditapproval,
fertility,
forestfires,
heart.cost,
heart.test,
heart.train,
heartdisease,
iris.v,
mushrooms,
sonar,
titanic,
voting,
wine