carEvaluation: Car Evaluation Data Set

In randomUniformForest: Random Uniform Forests for Classification, Regression and Unsupervised Learning

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)

randomUniformForest documentation built on June 22, 2022, 1:05 a.m.