- <init>
- setClassifier
Set the classifier to use for accuracy estimation
- getCapabilities
Returns the capabilities of this evaluator.
- getClassifier
Get the classifier used as the base learner.
- getHoldOutFile
Gets the file that holds hold out/test instances.
- getSeed
Get the random seed used to randomize the data before performing a percentage
split
- getUsePercentageSplit
Get whether to perform a percentage split on the training data for evaluation
- getUseTraining
Get if training data is to be used instead of hold out/test data
- runEvaluator
- setEvaluationMeasure
Sets the performance evaluation measure to use for selecting attributes for the
decision table
- setHoldOutFile
Set the file that contains hold out/test instances
- setIRClassValue
Set the class value (label or index) to use with IR metric evaluation of
subsets. Leaving this unset