Uses of Class
unifeat.result.performanceMeasure.Criteria

Packages that use Criteria

Package	Description
unifeat.classifier.evaluation.wekaClassifier
unifeat.featureSelection
unifeat.featureSelection.wrapper.ACOBasedMethods
unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
unifeat.result.performanceMeasure

Uses of Criteria in unifeat.classifier.evaluation.wekaClassifier

Methods in unifeat.classifier.evaluation.wekaClassifier that return Criteria

Modifier and Type	Method	Description
static Criteria	CrossValidation.dTree(String pathTrainData, double confidenceValue, int minNumSampleInLeaf, int kFold)	This method builds and evaluates the decision tree(DT) classifier.
static Criteria	TrainTestEvaluation.dTree(String pathTrainData, String pathTestData, double confidenceValue, int minNumSampleInLeaf)	This method builds and evaluates the decision tree(DT) classifier.
static Criteria	CrossValidation.kNN(String pathTrainData, int kNNValue, int kFold)	This method builds and evaluates the k-nearest neighbours(knn) classifier.
static Criteria	TrainTestEvaluation.kNN(String pathTrainData, String pathTestData, int kNNValue)	This method builds and evaluates the k-nearest neighbours(knn) classifier.
static Criteria	CrossValidation.naiveBayes(String pathTrainData, int kFold)	This method builds and evaluates the naiveBayes(NB) classifier.
static Criteria	TrainTestEvaluation.naiveBayes(String pathTrainData, String pathTestData)	This method builds and evaluates the naiveBayes(NB) classifier.
static Criteria	CrossValidation.SVM(String pathTrainData, SVMKernelType svmKernel, double c, int kFold)	This method builds and evaluates the support vector machine(SVM) classifier.
static Criteria	TrainTestEvaluation.SVM(String pathTrainData, String pathTestData, SVMKernelType svmKernel, double c)	This method builds and evaluates the support vector machine(SVM) classifier.

Uses of Criteria in unifeat.featureSelection

Methods in unifeat.featureSelection that return Criteria

Modifier and Type	Method	Description
Criteria	FitnessEvaluator.crossValidation(int[] selectedFeature)	This method performs k-fold cross validation on the reduced training set which is achieved by selected feature subset.

Uses of Criteria in unifeat.featureSelection.wrapper.ACOBasedMethods

Methods in unifeat.featureSelection.wrapper.ACOBasedMethods that return Criteria

Modifier and Type	Method	Description
abstract Criteria	BasicColony.evaluateCurrentSolution(int antIndex)	This method evaluates the fitness of each ant in the colony by predefined fitness function.

Uses of Criteria in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO

Methods in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO that return Criteria

Modifier and Type	Method	Description
Criteria	Colony.evaluateCurrentSolution(int antIndex)	This method evaluates the fitness of each ant in the colony by predefined fitness function.

Uses of Criteria in unifeat.result.performanceMeasure

Fields in unifeat.result.performanceMeasure declared as Criteria

Modifier and Type	Field	Description
private Criteria[]	PerformanceMeasures.averageValues
private Criteria[][]	PerformanceMeasures.measures

Methods in unifeat.result.performanceMeasure with parameters of type Criteria

Modifier and Type	Method	Description
void	PerformanceMeasures.setCriteria(int i, int j, Criteria criteria)	Sets the obtained criteria values from feature selection method