Package edu.udo.cs.yale.operator.validation

Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).

See:
Description

Class Summary

CFSFeatureSetEvaluator	CFS attribute subset evaluator.
ConsistencyFeatureSetEvaluator	Consistency attribute subset evaluator.
FixedSplitValidationChain	A FixedSplitValidationChain splits up the example set at a fixed point into a training and test set and evaluates the model (linear sampling).
IteratingPerformanceAverage	This operator chain performs the inner operators the given number of times.
LearningCurveOperator	Uses iteratively bigger subsets for learning and calculates the corresponding performance values.
RandomSplitValidationChain	A RandomSplitValidationChain splits up the example set into a training and test set and evaluates the model.
RandomSplitWrapperValidationChain	This operator evaluates the performance of feature weighting algorithms including feature selection.
Tools	Tools class for validation operators.
ValidationChain	Abstract superclass of operator chains that split an ExampleSet into a training and test set and return a performance vector.
WrapperValidationChain	This operator evaluates the performance of feature weighting algorithms including feature selection.
WrapperXValidation	This operator evaluates the performance of feature weighting and selection algorithms.
XValidation	XValidation encapsulates a cross-validation experiment.

Package edu.udo.cs.yale.operator.validation Description

Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators). Provides several forms of cross ans split validation for both learning schemes and methods (validate a wrapper approach).