A dataset on car evaluations based on basic features, derived from a simple hierarchical decision model.
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
Source
http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
Original creators and donors: Marko Bohanec and Blaz Zupan
Details
The criterion variable is a car's acceptability rating.
The criterion for this dataset has not yet been binarized. Before using it with FFTrees, this prerequisite step should be completed based on individual preferences.
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