carTra: Car evaluation dataset

In SDEFSR: Subgroup Discovery with Evolutionary Fuzzy Systems

Description

Training data for the car dataset

Format

A SDEFSR_Dataset class with 1382 instances, 6 variables (without the target variable) and 4 values for the target Variable. Three labels for each variable are defined.

Details

Car Evaluation Database was derived from a simple hierarchical decision model. The model evaluates cars according to six input attributes: buying, maint, doors, persons, lug_boot, safety.

Source

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 (to appear).

Examples

   carTra$data
   carTra$attributeNames
   

SDEFSR documentation built on April 30, 2021, 9:10 a.m.