Package | Description |
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weka.attributeSelection |
Modifier and Type | Class and Description |
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class |
ChiSquaredAttributeEval
ChiSquaredAttributeEval :
Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class. Valid options are: |
class |
CostSensitiveAttributeEval
A meta subset evaluator that makes its base subset evaluator cost-sensitive.
|
class |
FilteredAttributeEval
Class for running an arbitrary attribute evaluator on data that has been passed through an
arbitrary filter (note: filters that alter the order or number of attributes are not allowed).
|
class |
GainRatioAttributeEval
GainRatioAttributeEval :
Evaluates the worth of an attribute by measuring the gain ratio with respect to the class. GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). Valid options are: |
class |
InfoGainAttributeEval
InfoGainAttributeEval :
Evaluates the worth of an attribute by measuring the information gain with respect to the class. InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute). Valid options are: |
class |
LatentSemanticAnalysis
Performs latent semantic analysis and transformation of the data.
|
class |
OneRAttributeEval
OneRAttributeEval :
Evaluates the worth of an attribute by using the OneR classifier. Valid options are: |
class |
PrincipalComponents
Performs a principal components analysis and transformation of the data.
|
class |
ReliefFAttributeEval
ReliefFAttributeEval :
Evaluates the worth of an attribute by repeatedly sampling an instance and considering the value of the given attribute for the nearest instance of the same and different class. |
class |
SVMAttributeEval
SVMAttributeEval :
Evaluates the worth of an attribute by using an SVM classifier. |
class |
SymmetricalUncertAttributeEval
SymmetricalUncertAttributeEval :
Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class. |
class |
UnsupervisedAttributeEvaluator
Abstract unsupervised attribute evaluator.
|
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