Car Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX.
A data frame with 1728 observations on the following 7 variables.
Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods.
Car Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX. The model evaluates cars according to the following concept structure:
CAR: car acceptability
PRICE: overall price (buying buying price, maint price of the maintenance)
TECH: technical characteristics
COMFORT: comfort (doors number of doors, persons capacity in terms of persons to carry, lug_boot the size of luggage boot, safety estimated safety of the car)
Input attributes are printed in lowercase. Besides the target concept (CAR), the model includes three intermediate concepts: PRICE, TECH, COMFORT. Every concept is in the original model related to its lower level descendants by a set of examples.
The Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety.
Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods.
Creator: Marko Bohanec
Marko Bohanec (marko.bohanec '@' ijs.si)
Blaz Zupan (blaz.zupan '@' ijs.si)
M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.)
M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for multi-attribute decision making. In 8th Intl Workshop on Expert Systems and their Applications, Avignon, France. pages 59-78, 1988.
B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by function decomposition. ICML-97, Nashville, TN. 1997
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.