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| Packages that use AttributeEvaluator | |
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| weka.attributeSelection | |
| Uses of AttributeEvaluator in weka.attributeSelection |
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| Classes in weka.attributeSelection that implement AttributeEvaluator | |
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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 |
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 |
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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