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class
CfsSubsetEval :
Evaluates the worth of a subset of attributes by considering the individual
predictive ability of each feature along with the degree of redundancy
between them.
Subsets of features that are highly correlated with the class while having
low intercorrelation are preferred.
For more information see:
M.
class
Classifier subset evaluator:
Evaluates attribute subsets on training data or a separate hold out testing set.
class
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.
class
Abstract unsupervised attribute subset evaluator.
class
WrapperSubsetEval:
Evaluates attribute sets by using a learning scheme.