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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_10) on Fri Jan 26 16:36:08 NZDT 2007 --><TITLE>weka.attributeSelection</TITLE><META NAME="keywords" CONTENT="weka.attributeSelection package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="weka.attributeSelection";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY="">  <TR ALIGN="center" VALIGN="top">  <TD 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NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package weka.attributeSelection</H2><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Interface Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/AttributeTransformer.html" title="interface in weka.attributeSelection">AttributeTransformer</A></B></TD><TD>Abstract attribute transformer.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ErrorBasedMeritEvaluator.html" title="interface in weka.attributeSelection">ErrorBasedMeritEvaluator</A></B></TD><TD>Interface for evaluators that calculate the "merit" of attributes/subsets as the error of a learning scheme</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/RankedOutputSearch.html" title="interface in weka.attributeSelection">RankedOutputSearch</A></B></TD><TD>Interface for search methods capable of producing a ranked list of attributes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/StartSetHandler.html" title="interface in weka.attributeSelection">StartSetHandler</A></B></TD><TD>Interface for search methods capable of doing something sensible given a starting set of attributes.</TD></TR></TABLE>&nbsp;<P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ASEvaluation.html" title="class in weka.attributeSelection">ASEvaluation</A></B></TD><TD>Abstract attribute selection evaluation class</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ASSearch.html" title="class in weka.attributeSelection">ASSearch</A></B></TD><TD>Abstract attribute selection search class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/AttributeEvaluator.html" title="class in weka.attributeSelection">AttributeEvaluator</A></B></TD><TD>Abstract attribute evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/AttributeSelection.html" title="class in weka.attributeSelection">AttributeSelection</A></B></TD><TD>Attribute selection class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/AttributeSetEvaluator.html" title="class in weka.attributeSelection">AttributeSetEvaluator</A></B></TD><TD>Abstract attribute set evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/BestFirst.html" title="class in weka.attributeSelection">BestFirst</A></B></TD><TD>BestFirst:<br/> <br/> Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/CfsSubsetEval.html" title="class in weka.attributeSelection">CfsSubsetEval</A></B></TD><TD>CfsSubsetEval :<br/> <br/> 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.<br/> <br/> Subsets of features that are highly correlated with the class while having low intercorrelation are preferred.<br/> <br/> For more information see:<br/> <br/> M.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/CheckAttributeSelection.html" title="class in weka.attributeSelection">CheckAttributeSelection</A></B></TD><TD>Class for examining the capabilities and finding problems with  attribute selection schemes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ChiSquaredAttributeEval.html" title="class in weka.attributeSelection">ChiSquaredAttributeEval</A></B></TD><TD>ChiSquaredAttributeEval :<br/> <br/> Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class.<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/ClassifierSubsetEval.html" title="class in weka.attributeSelection">ClassifierSubsetEval</A></B></TD><TD>Classifier subset evaluator:<br/> <br/> Evaluates attribute subsets on training data or a seperate hold out testing set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ConsistencySubsetEval.html" title="class in weka.attributeSelection">ConsistencySubsetEval</A></B></TD><TD>ConsistencySubsetEval :<br/> <br/> Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/ExhaustiveSearch.html" title="class in weka.attributeSelection">ExhaustiveSearch</A></B></TD><TD>ExhaustiveSearch : <br/> <br/> Performs an exhaustive search through the space of attribute subsets starting from the empty set of attrubutes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/attributeSelection/FCBFSearch.html" title="class in weka.attributeSelection">FCBFSearch</A></B></TD><TD>FCBF : <br/> <br/> Feature selection method based on correlation measureand relevance&amp;redundancy analysis.</TD>

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