DecisionTable

Package

weka.classifiers.rules

Class for building and using a simple decision table majority classifier.

For more information see:

Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.

The table below describes the options available for DecisionTable.

Option	Description
crossVal	Sets the number of folds for cross validation (1 = leave one out).
debug	If set to true, classifier may output additional info to the console.
displayRules	Sets whether rules are to be printed.
evaluationMeasure	The measure used to evaluate the performance of attribute combinations used in the decision table.
search	The search method used to find good attribute combinations for the decision table.
useIBk	Sets whether IBk should be used instead of the majority class.

The table below describes the capabilites of DecisionTable.

Capability	Supported
Class	Numeric class, Binary class, Date class, Nominal class, Missing class values
Attributes	Nominal attributes, Empty nominal attributes, Unary attributes, Binary attributes, Missing values, Date attributes, Numeric attributes
Min # of instances	1