A dataset on car evaluations based on basic features, derived from a simple hierarchical decision model.
carA data frame containing 1728 cars (rows) and 7 variables (columns).
price for buying the car, Factor (high, low, med, vhigh)
price of the maintenance, Factor (high, low, med, vhigh)
number of doors, Factor (2, 3, 4, 5more)
capacity in terms of persons to carry, Factor (2, 4, more)
the size of luggage boot, Factor (big, med, small)
estimated safety of the car, Factor (high, low, med)
Criterion: Category of acceptability rating.
Values: unacc/ vgood/ good/ acc
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.
Bohanec, M., Rajkovic, V. (1990): Expert system for decision making. Sistemica, 1 (1), 145--157.
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