Package | Description |
---|---|
de.jstacs.classifiers.assessment |
This package allows to assess classifiers.
It contains the class ClassifierAssessment that
is used as a super-class of all implemented methodologies of
an assessment to assess classifiers. |
Modifier and Type | Class and Description |
---|---|
class |
ClassifierAssessment<T extends ClassifierAssessmentAssessParameterSet>
Class defining an assessment of classifiers.
|
Modifier and Type | Class and Description |
---|---|
class |
KFoldCrossValidationAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ...
|
class |
RepeatedHoldOutAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ...
|
class |
RepeatedSubSamplingAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ...
|
class |
Sampled_RepeatedHoldOutAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call the method assess( ...
|
Modifier and Type | Method and Description |
---|---|
ListResult |
KFoldCrossValidation.assessWithPredefinedSplits(NumericalPerformanceMeasureParameterSet mp,
ClassifierAssessmentAssessParameterSet caaps,
ProgressUpdater pU,
DataSet[][] splitData,
double[][][] splitWeights)
This method implements a k-fold crossvalidation on previously split data.
|