carTst

Implementation of some algorithms for the data mining task called
"subgroup discovery" without package dependencies. It also provide a Shiny App
for make the analysis easier. The algorithms works with data sets provided in
KEEL or ARFF format files or data.frame objects. If you want more information about KEEL format, please
refer to < http://www.keel.es > .

Angel M Garcia

Subgroup Discovery Algorithms for R

carTst function

A keel class with 346 instances, 6 variables (without the target variable) and 4 values for the target Variable.
    Three labels for each variable are defined.

Format

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).

carTst: Car evaluation dataset

Description

Arguments

Format

Source

Details

Examples