Package
weka.classifiers.rules
Synopsis
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.
Options
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. |
Capabilities
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 |