Uses of Class
weka.classifiers.Evaluation

Packages that use Evaluation

Package	Description
weka.classifiers
weka.gui.explorer

Uses of Evaluation in weka.classifiers

Subclasses of Evaluation in weka.classifiers

Modifier and Type	Class	Description
class	AggregateableEvaluation	Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.

Methods in weka.classifiers with parameters of type Evaluation

Modifier and Type	Method	Description
void	AggregateableEvaluation.aggregate(Evaluation evaluation)	Adds the statistics encapsulated in the supplied Evaluation object into this one.

Constructors in weka.classifiers with parameters of type Evaluation

Constructor	Description
AggregateableEvaluation(Evaluation eval)	Constructs a new AggregateableEvaluation object based on an Evaluation object

Uses of Evaluation in weka.gui.explorer

Methods in weka.gui.explorer that return Evaluation

Modifier and Type	Method	Description
Evaluation	ClassifierErrorsPlotInstances.getEvaluation()	Returns the Evaluation object in use.
static Evaluation	ClassifierPanel.setupEval(Evaluation eval, Classifier classifier, Instances inst, CostMatrix costMatrix, ClassifierErrorsPlotInstances plotInstances, AbstractOutput classificationOutput, boolean onlySetPriors)	Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
static Evaluation	ClassifierPanel.setupEval(Evaluation eval, Classifier classifier, Instances inst, CostMatrix costMatrix, ClassifierErrorsPlotInstances plotInstances, AbstractOutput classificationOutput, boolean onlySetPriors, boolean collectPredictions)	Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.

Methods in weka.gui.explorer with parameters of type Evaluation

Modifier and Type	Method	Description
void	ClassifierErrorsPlotInstances.process(Instance toPredict, Classifier classifier, Evaluation eval)	Process a classifier's prediction for an instance and update a set of plotting instances and additional plotting info.
void	ClassifierErrorsPlotInstances.process(Instances batch, double[][] predictions, Evaluation eval)
void	ClassifierErrorsPlotInstances.setEvaluation(Evaluation value)	Sets the Evaluation object to use.
static Evaluation	ClassifierPanel.setupEval(Evaluation eval, Classifier classifier, Instances inst, CostMatrix costMatrix, ClassifierErrorsPlotInstances plotInstances, AbstractOutput classificationOutput, boolean onlySetPriors)	Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
static Evaluation	ClassifierPanel.setupEval(Evaluation eval, Classifier classifier, Instances inst, CostMatrix costMatrix, ClassifierErrorsPlotInstances plotInstances, AbstractOutput classificationOutput, boolean onlySetPriors, boolean collectPredictions)	Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.