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</TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/FilteredSubsetEval.html" title="class in weka.attributeSelection">FilteredSubsetEval</A></B></TD><TD>Class for running an arbitrary subset evaluator on data that has been passed through an arbitrary  filter (note: filters that alter the order or number of attributes are not allowed).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/GainRatioAttributeEval.html" title="class in weka.attributeSelection">GainRatioAttributeEval</A></B></TD><TD>GainRatioAttributeEval :<br/> <br/> Evaluates the worth of an attribute by measuring the gain ratio with respect to the class.<br/> <br/> GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).<br/> <p/> <!-- globalinfo-end --> <!-- options-start --> Valid options are: <p/></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/GeneticSearch.html" title="class in weka.attributeSelection">GeneticSearch</A></B></TD><TD>GeneticSearch:<br/> <br/> Performs a search using the simple genetic algorithm described in Goldberg (1989).<br/> <br/> For more information see:<br/> <br/> David E.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/GreedyStepwise.html" title="class in weka.attributeSelection">GreedyStepwise</A></B></TD><TD>GreedyStepwise :<br/> <br/> Performs a greedy forward or backward search through the space of attribute subsets.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/HoldOutSubsetEvaluator.html" title="class in weka.attributeSelection">HoldOutSubsetEvaluator</A></B></TD><TD>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.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/InfoGainAttributeEval.html" title="class in weka.attributeSelection">InfoGainAttributeEval</A></B></TD><TD>InfoGainAttributeEval :<br/> <br/> Evaluates the worth of an attribute by measuring the information gain with respect to the class.<br/> <br/> InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute).<br/> <p/> <!-- globalinfo-end --> <!-- options-start --> Valid options are: <p/></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/LatentSemanticAnalysis.html" title="class in weka.attributeSelection">LatentSemanticAnalysis</A></B></TD><TD>Performs latent semantic analysis and transformation of the data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/LFSMethods.html" title="class in weka.attributeSelection">LFSMethods</A></B></TD><TD>&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/LinearForwardSelection.html" title="class in weka.attributeSelection">LinearForwardSelection</A></B></TD><TD>LinearForwardSelection:<br/> <br/> Extension of BestFirst.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/OneRAttributeEval.html" title="class in weka.attributeSelection">OneRAttributeEval</A></B></TD><TD>OneRAttributeEval :<br/> <br/> Evaluates the worth of an attribute by using the OneR classifier.<br/> <p/> <!-- globalinfo-end --> <!-- options-start --> Valid options are: <p/></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/PrincipalComponents.html" title="class in weka.attributeSelection">PrincipalComponents</A></B></TD><TD>Performs a principal components analysis and transformation of the data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/RaceSearch.html" title="class in weka.attributeSelection">RaceSearch</A></B></TD><TD>Races the cross validation error of competing attribute subsets.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/RandomSearch.html" title="class in weka.attributeSelection">RandomSearch</A></B></TD><TD>RandomSearch : <br/> <br/> Performs a Random search in the space of attribute subsets.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/Ranker.html" title="class in weka.attributeSelection">Ranker</A></B></TD><TD>Ranker : <br/> <br/> Ranks attributes by their individual evaluations.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/RankSearch.html" title="class in weka.attributeSelection">RankSearch</A></B></TD><TD>RankSearch : <br/> <br/> Uses an attribute/subset evaluator to rank all attributes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ReliefFAttributeEval.html" title="class in weka.attributeSelection">ReliefFAttributeEval</A></B></TD><TD>ReliefFAttributeEval :<br/> <br/> 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.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/SubsetSizeForwardSelection.html" title="class in weka.attributeSelection">SubsetSizeForwardSelection</A></B></TD><TD>SubsetSizeForwardSelection:<br/> <br/> Extension of LinearForwardSelection.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/SVMAttributeEval.html" title="class in weka.attributeSelection">SVMAttributeEval</A></B></TD><TD>SVMAttributeEval :<br/> <br/> Evaluates the worth of an attribute by using an SVM classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/SymmetricalUncertAttributeEval.html" title="class in weka.attributeSelection">SymmetricalUncertAttributeEval</A></B></TD><TD>SymmetricalUncertAttributeEval :<br/> <br/> Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/SymmetricalUncertAttributeSetEval.html" title="class in weka.attributeSelection">SymmetricalUncertAttributeSetEval</A></B></TD><TD>SymmetricalUncertAttributeSetEval :<br/> <br/> Evaluates the worth of a set attributes by measuring the symmetrical uncertainty with respect to another set of attributes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/UnsupervisedAttributeEvaluator.html" title="class in weka.attributeSelection">UnsupervisedAttributeEvaluator</A></B></TD><TD>Abstract unsupervised attribute evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/UnsupervisedSubsetEvaluator.html" title="class in weka.attributeSelection">UnsupervisedSubsetEvaluator</A></B></TD><TD>Abstract unsupervised attribute subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/WrapperSubsetEval.html" title="class in weka.attributeSelection">WrapperSubsetEval</A></B></TD><TD>WrapperSubsetEval:<br/> <br/> Evaluates attribute sets by using a learning scheme.</TD></TR></TABLE>&nbsp;<P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation 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