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## Package weka.attributeSelection

Interface Summary
AttributeTransformer | Abstract attribute transformer.
ErrorBasedMeritEvaluator | Interface for evaluators that calculate the "merit" of attributes/subsets as the error of a learning scheme
RankedOutputSearch | Interface for search methods capable of producing a ranked list of attributes.
StartSetHandler | Interface for search methods capable of doing something sensible given a starting set of attributes.

Class Summary
ASEvaluation | Abstract attribute selection evaluation class
ASSearch | Abstract attribute selection search class.
AttributeEvaluator | Abstract attribute evaluator.
AttributeSelection | Attribute selection class.
BestFirst | Class for performing a best first search.
CfsSubsetEval | CFS attribute subset evaluator.
ChiSquaredAttributeEval | Class for Evaluating attributes individually by measuring the chi-squared statistic with respect to the class.
ClassifierSubsetEval | Classifier subset evaluator.
ConsistencySubsetEval | Consistency attribute subset evaluator.
ExhaustiveSearch | Class for performing an exhaustive search.
GainRatioAttributeEval | Class for Evaluating attributes individually by measuring gain ratio with respect to the class.
GeneticSearch | Class for performing a genetic based search.
GreedyStepwise | Class for performing a hill climbing search (either forwards or backwards).
HoldOutSubsetEvaluator | Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.
InfoGainAttributeEval | Class for Evaluating attributes individually by measuring information gain with respect to the class.
OneRAttributeEval | Class for Evaluating attributes individually by using the OneR classifier.
PrincipalComponents | Class for performing principal components analysis/transformation.
RaceSearch | Class for performing a racing search.
RandomSearch | Class for performing a random search.
Ranker | Class for ranking the attributes evaluated by a AttributeEvaluator Valid options are:
RankSearch | Class for evaluating a attribute ranking (given by a specified evaluator) using a specified subset evaluator.
ReliefFAttributeEval | Class for Evaluating attributes individually using ReliefF.
SubsetEvaluator | Abstract attribute subset evaluator.
SVMAttributeEval | Class for Evaluating attributes individually by using the SVM classifier.
SymmetricalUncertAttributeEval | Class for Evaluating attributes individually by measuring symmetrical uncertainty with respect to the class.
UnsupervisedAttributeEvaluator | Abstract unsupervised attribute evaluator.
UnsupervisedSubsetEvaluator | Abstract unsupervised attribute subset evaluator.
WrapperSubsetEval | Wrapper attribute subset evaluator.

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