CarEvaluation {randomUniformForest}

Car Evaluation Data Set

Description

Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods.

Usage

carEvaluation

Format

A matrix containing 1728 observations and 6 attributes.

Source

http://archive.ics.uci.edu/ml/datasets/Car+Evaluation

References

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)